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Physical activity, sex, and obesity: the effects on aging brains

Title:

Physical activity, sex, and obesity: the effects on aging brains

Intzandt, Brittany N (2022) Physical activity, sex, and obesity: the effects on aging brains. PhD thesis, Concordia University.

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Abstract

During aging, vascular declines occur causing cerebral atrophy, and functional deteriorations. When this decline is faster than the expected age-related decline, a heightened risk of developing dementia can occur. Understanding what risk factors contribute most to cerebral health across the lifespan prior to the onset of vascular changes is of upmost importance. Potential mediators of the aging vascular system include non-modifiable outcomes such as sex, and modifiable factors like physical activity level (PA) and body mass index (BMI).
This thesis includes one systematic review and three original studies investigating the effectiveness of PA to enhance cerebral health. In manuscript one we conducted a systematic review of cognitive or exercise interventions in healthy older adults that collected magnetic resonance imaging (MRI) scans. We identified that cognitive training was associated with white matter microstructure improvements, exercise training with macrostructural enhancements, and both demonstrated changes to the blood oxygen level dependent signal, indicating changes to hemodynamics, neuronal resources, or efficiency. However, the underlying mechanisms for enhanced cerebral health were unclear given the heterogeneity of interventions, measurements, and samples in terms of age and health status. In manuscript two, we investigated very healthy older adults with no underlying comorbidities comprehend the relationship between cardiovascular fitness and cerebral hemodynamics. We revealed paradoxical findings of greater cardiovascular fitness associated with decreased cerebrovascular reactivity, but preserved structure. In a normal aging sample, the relationship between sex, BMI, PA, and structural outcomes was examined. Females with greater BMI had enhanced structural outcomes, and regardless of BMI, higher PA was beneficial to cerebral health. In contrast, overweight males had the greatest volumetrics and PA did not have much influence on these relationships. The final manuscript incorporated a larger age range of individuals, showing an overall beneficial effect of PA on cerebral blood flow (CBF), but males and females demonstrated unique relationships with CBF, and the intensity of PA reported, which was further influenced by whether they were middle aged or older.
Therefore, our studies contribute to our understanding of the beneficial effects of PA on brain health, and how these effects are influenced by sex, age, and obesity.

Divisions:Concordia University > School of Graduate Studies > Individualized Program
Item Type:Thesis (PhD)
Authors:Intzandt, Brittany N
Institution:Concordia University
Degree Name:Ph. D.
Program:Individualized Program
Date:1 August 2022
Thesis Supervisor(s):Gauthier, Claudine J and Bherer, Louis
Keywords:Aging Physical Activity Sexual Dimorphisms Obesity Cerebral blood flow Cerebrovascular Reactivity Bulk cerebral volumetrics
ID Code:991183
Deposited By: Brittany Intzandt
Deposited On:21 Jun 2023 14:16
Last Modified:21 Jun 2023 14:16

References:

Aadahl, M., Kjaer, M., Kristensen, J. H., Mollerup, B., & Jørgensen, T. (2007). Self-reported physical activity compared with maximal oxygen uptake in adults. European Journal of Cardiovascular Prevention and Rehabilitation: Official Journal of the European Society of Cardiology, Working Groups on Epidemiology & Prevention and Cardiac Rehabilitation and Exercise Physiology, 14(3), 422–428. doi: 10.1097/HJR.0b013e3280128d00

Aanerud, J., Borghammer, P., Rodell, A., Jónsdottir, K. Y., & Gjedde, A. (2017). Sex differences of human cortical blood flow and energy metabolism. Journal of Cerebral Blood Flow and Metabolism: Official Journal of the International Society of Cerebral Blood Flow and Metabolism, 37(7), 2433–2440. doi: 10.1177/0271678X16668536

Abdullah, A., Wolfe, R., Stoelwinder, J. U., de Courten, M., Stevenson, C., Walls, H. L., & Peeters, A. (2011). The number of years lived with obesity and the risk of all-cause and cause-specific mortality. International Journal of Epidemiology, 40(4), 985–996. doi: 10.1093/ije/dyr018

Abe, O., Aoki, S., Hayashi, N., Yamada, H., Kunimatsu, A., Mori, H., … Ohtomo, K. (2002). Normal aging in the central nervous system: Quantitative MR diffusion-tensor analysis. Neurobiology of Aging, 23(3), 433–441. doi: 10.1016/s0197-4580(01)00318-9

Adnan, A., Chen, A. J. W., Novakovic-Agopian, T., D’Esposito, M., & Turner, G. R. (2017). Brain Changes Following Executive Control Training in Older Adults. Neurorehabilitation and Neural Repair, 31(10–11), 910–922. doi: 10.1177/1545968317728580

Ainslie, P. N., Cotter, J. D., George, K. P., Lucas, S., Murrell, C., Shave, R., … Atkinson, G. (2008). Elevation in cerebral blood flow velocity with aerobic fitness throughout healthy human ageing: Cerebral blood flow and aerobic fitness. The Journal of Physiology, 586(16), 4005–4010. doi: 10.1113/jphysiol.2008.158279

Ainsworth, B. E., Haskell, W. L., Herrmann, S. D., Meckes, N., Bassett, D. R. J., Tudor-Locke, C., … Leon, A. S. (2011). 2011 Compendium of Physical Activities: A Second Update of Codes and MET Values. Medicine & Science in Sports & Exercise, 43(8), 1575–1581. doi: 10.1249/MSS.0b013e31821ece12

Albanese, E., Davis, B., Jonsson, P. V., Chang, M., Aspelund, T., Garcia, M., … Launer, L. J. (2015). Overweight and Obesity in Midlife and Brain Structure and Dementia 26 Years Later. American Journal of Epidemiology, 181(9), 672–679. doi: 10.1093/aje/kwu331
Page | 201

Albanese, E., Launer, L. J., Egger, M., Prince, M. J., Giannakopoulos, P., Wolters, F. J., & Egan, K. (2017). Body mass index in midlife and dementia: Systematic review and meta-regression analysis of 589,649 men and women followed in longitudinal studies. Alzheimer’s & Dementia (Amsterdam, Netherlands), 8, 165–178. doi: 10.1016/j.dadm.2017.05.007

Alber, J., Alladi, S., Bae, H.-J., Barton, D. A., Beckett, L. A., Bell, J. M., … Hainsworth, A. H. (2019). White matter hyperintensities in vascular contributions to cognitive impairment and dementia (VCID): Knowledge gaps and opportunities. Alzheimer’s & Dementia : Translational Research & Clinical Interventions, 5, 107–117. doi: 10.1016/j.trci.2019.02.001

Alfaro, F. J., Gavrieli, A., Saade-Lemus, P., Lioutas, V.-A., Upadhyay, J., & Novak, V. (2018). White matter microstructure and cognitive decline in metabolic syndrome: A review of diffusion tensor imaging. Metabolism: Clinical and Experimental, 78, 52–68. doi: 10.1016/j.metabol.2017.08.009

Alfini, A. J., Weiss, L. R., Leitner, B. P., Smith, T. J., Hagberg, J. M., & Smith, J. C. (2016). Hippocampal and Cerebral Blood Flow after Exercise Cessation in Master Athletes. Frontiers in Aging Neuroscience, 8. doi: 10.3389/fnagi.2016.00184

Aljondi, R., Szoeke, C., Steward, C., Yates, P., & Desmond, P. (2019). A decade of changes in brain volume and cognition. Brain Imaging and Behavior, 13(2), 554–563. doi: 10.1007/s11682-018-9887-z

Al-Mallah, M. H., Juraschek, S. P., Whelton, S., Dardari, Z. A., Ehrman, J. K., Michos, E. D., … Blaha, M. J. (2016). Sex Differences in Cardiorespiratory Fitness and All-Cause Mortality: The Henry Ford ExercIse Testing (FIT) Project. Mayo Clinic Proceedings, 91(6), 755–762. doi: 10.1016/j.mayocp.2016.04.002

Alqarni, A., Jiang, J., Crawford, J. D., Koch, F., Brodaty, H., Sachdev, P., & Wen, W. (2021). Sex differences in risk factors for white matter hyperintensities in non-demented older individuals. Neurobiology of Aging, 98, 197–204. doi: 10.1016/j.neurobiolaging.2020.11.001

Alsop, D. C., & Detre, J. A. (1996). Reduced transit-time sensitivity in noninvasive magnetic resonance imaging of human cerebral blood flow. Journal of Cerebral Blood Flow and Metabolism: Official Journal of the International Society of Cerebral Blood Flow and Metabolism, 16(6), 1236–1249. doi: 10.1097/00004647-199611000-00019

Alsop, David C, Detre, J. A., Golay, X., Günther, M., Hendrikse, J., Hernandez-Garcia, L., … Smits, M. (2015). Recommended Implementation of Arterial Spin Labeled Perfusion MRI for Clinical Applications: A consensus of the ISMRM Perfusion Study Group and the European Consortium for ASL in Dementia. 36.
Page | 202

Alzheimer’s Disease Neuroimaging Initiative, Wang, Y.-L., Chen, W., Cai, W.-J., Hu, H., Xu, W., … Yu, J.-T. (2020). Associations of White Matter Hyperintensities with Cognitive Decline: A Longitudinal Study. Journal of Alzheimer’s Disease, 73(2), 759–768. doi: 10.3233/JAD-191005

Amen, D. G., Egan, S., Meysami, S., Raji, C. A., & George, N. (2018). Patterns of Regional Cerebral Blood Flow as a Function of Age Throughout the Lifespan. Journal of Alzheimer’s Disease, 65(4), 1087–1092. doi: 10.3233/JAD-180598

Amen, D. G., Wu, J., George, N., & Newberg, A. (2020). Patterns of Regional Cerebral Blood Flow as a Function of Obesity in Adults. Journal of Alzheimer’s Disease: JAD, 77(3), 1331–1337. doi: 10.3233/JAD-200655

Ammar, A., Brach, M., Trabelsi, K., Chtourou, H., Boukhris, O., Masmoudi, L., … Hoekelmann, A. (2020). Effects of COVID-19 Home Confinement on Eating Behaviour and Physical Activity: Results of the ECLB-COVID19 International Online Survey. Nutrients, 12(6). doi: 10.3390/nu12061583

Anatürk, M., Suri, S., Smith, S. M., Ebmeier, K. P., & Sexton, C. E. (2021). Leisure Activities and Their Relationship With MRI Measures of Brain Structure, Functional Connectivity, and Cognition in the UK Biobank Cohort. Frontiers in Aging Neuroscience, 13, 734866. doi: 10.3389/fnagi.2021.734866

Ansdell, P., Thomas, K., Hicks, K. M., Hunter, S. K., Howatson, G., & Goodall, S. (2020). Physiological sex differences affect the integrative response to exercise: Acute and chronic implications. Experimental Physiology, 105(12), 2007–2021. doi: 10.1113/EP088548

Appelbaum, P. S., & Gutheil, T. G. (2007). Clinical Handbook of Psychiatry & the Law. Lippincott Williams & Wilkins.

Arenaza-Urquijo, E. M., de Flores, R., Gonneaud, J., Wirth, M., Ourry, V., Callewaert, W., … Chételat, G. (2017). Distinct effects of late adulthood cognitive and physical activities on gray matter volume. Brain Imaging and Behavior, 11(2), 346–356. doi: 10.1007/s11682-016-9617-3

Arnoldussen, I. A. C., Gustafson, D. R., Leijsen, E. M. C., de Leeuw, F.-E., & Kiliaan, A. J. (2019). Adiposity is related to cerebrovascular and brain volumetry outcomes in the RUN DMC study. Neurology, 93(9), e864–e878. doi: 10.1212/WNL.0000000000008002

Arnoldussen, I. A. C., Kiliaan, A. J., & Gustafson, D. R. (2014). Obesity and dementia: Adipokines interact with the brain. European Neuropsychopharmacology, 24(12), 1982–1999. doi: 10.1016/j.euroneuro.2014.03.002

Arvanitakis, Z., Fleischman, D. A., Arfanakis, K., Leurgans, S. E., Barnes, L. L., & Bennett, D. A. (2016). Association of white matter hyperintensities and gray matter volume with cognition in older individuals without cognitive impairment. Brain Structure & Function, 221(4), 2135–2146. doi: 10.1007/s00429-015-1034-7

Ashburner, J., & Friston, K. J. (2000). Voxel-based morphometry—The methods. NeuroImage, 11(6 Pt 1), 805–821. doi: 10.1006/nimg.2000.0582

Ashburner, John, & Friston, K. J. (2000). Voxel-Based Morphometry—The Methods. NeuroImage, 11(6), 805–821. doi: 10.1006/nimg.2000.0582

Ashburner, John, & Friston, K. J. (2005). Unified segmentation. NeuroImage, 26(3), 839–851. doi: 10.1016/j.neuroimage.2005.02.018

Ashor, A., Lara, J., Siervo, M., Celis-Morales, C., Oggioni, C., Jakovljevic, D., & Mathers, J. (2015). Exercise modalities and endothelial function: A systematic review and dose–response meta-analysis of randomized controlled trials. Sports Medicine, 45(2), 279–296.

Aslan, S., Xu, F., Wang, P. L., Uh, J., Yezhuvath, U. S., van Osch, M., & Lu, H. (2010). Estimation of labeling efficiency in pseudocontinuous arterial spin labeling. Magnetic Resonance in Medicine, 63(3), 765–771. doi: 10.1002/mrm.22245
Asllani, I., Borogovac, A., & Brown, T. R. (2008). Regression algorithm correcting for partial volume effects in arterial spin labeling MRI. Magnetic Resonance in Medicine, 60(6), 1362–1371. doi: 10.1002/mrm.21670

Asllani, I., Habeck, C., Borogovac, A., Brown, T. R., Brickman, A. M., & Stern, Y. (2009). Separating function from structure in perfusion imaging of the aging brain. Human Brain Mapping, 30(9), 2927–2935. doi: 10.1002/hbm.20719

Asllani, I., Habeck, C., Scarmeas, N., Borogovac, A., Brown, T. R., & Stern, Y. (2008). Multivariate and Univariate Analysis of Continuous Arterial Spin Labeling Perfusion MRI in Alzheimer’s Disease. Journal of Cerebral Blood Flow & Metabolism, 28(4), 725–736. doi: 10.1038/sj.jcbfm.9600570

Avants, B. B., Epstein, C. L., Grossman, M., & Gee, J. C. (2008). Symmetric diffeomorphic image registration with cross-correlation: Evaluating automated labeling of elderly and neurodegenerative brain. Medical Image Analysis, 12(1), 26–41. doi: 10.1016/j.media.2007.06.004

B, D., Ralph, Vasan, R. S., Pencina, M. J., Wolf, P. A., Cobain, M., Massaro, J. M., & Kannel, W. B. (2008). General cardiovascular risk profile for use in primary care: The Framingham Heart Study. Circulation, 117(6), 743–753. doi: 10.1161/CIRCULATIONAHA.107.699579

Badji, A., Sabra, D., Bherer, L., Cohen-Adad, J., Girouard, H., & Gauthier, C. J. (2019). Arterial stiffness and brain integrity: A review of MRI findings. Ageing Research Reviews, 53, 100907. doi: 10.1016/j.arr.2019.05.001

Bahrani, A. A., Powell, D. K., Yu, G., Johnson, E. S., Jicha, G. A., & Smith, C. D. (2017). White Matter Hyperintensity Associations with Cerebral Blood Flow in Elder Subjects Stratified by Cerebrovascular Risk. Journal of Stroke and Cerebrovascular Diseases : The Official Journal of National Stroke Association, 26(4), 779–786. doi: 10.1016/j.jstrokecerebrovasdis.2016.10.017

Bailey, D. M., Marley, C. J., Brugniaux, J. V., Hodson, D., New, K. J., Ogoh, S., & Ainslie, P. N. (2013). Elevated aerobic fitness sustained throughout the adult lifespan is associated with improved cerebral hemodynamics. Stroke, 44(11), 3235–3238. doi: 10.1161/STROKEAHA.113.002589

Bangen, K. J., Clark, A. L., Edmonds, E. C., Evangelista, N. D., Werhane, M. L., Thomas, K. R., … Delano-Wood, L. (2017). Cerebral Blood Flow and Amyloid-β Interact to Affect Memory Performance in Cognitively Normal Older Adults. Frontiers in Aging Neuroscience, 9, 181. doi: 10.3389/fnagi.2017.00181

Bangen, K. J., Nation, D. A., Clark, L. R., Harmell, A. L., Wierenga, C. E., Dev, S. I., … Bondi, M. W. (2014). Interactive effects of vascular risk burden and advanced age on cerebral blood flow. Frontiers in Aging Neuroscience, 6. doi: 10.3389/fnagi.2014.00159

Baranowski, B. J., Bott, K. N., & MacPherson, R. E. K. (2018). Evaluation of neuropathological effects of a high-fat high-sucrose diet in middle-aged male C57BL6/J mice. Physiological Reports, 6(11), e13729. doi: 10.14814/phy2.13729

Barha, C. K., Best, J. R., Rosano, C., Yaffe, K., Catov, J. M., & Liu-Ambrose, T. (2020). Sex-Specific Relationship Between Long-Term Maintenance of Physical Activity and Cognition in the Health ABC Study: Potential Role of Hippocampal and Dorsolateral Prefrontal Cortex Volume. The Journals of Gerontology. Series A, Biological Sciences and Medical Sciences, 75(4), 764–770. doi: 10.1093/gerona/glz093

Barha, C. K., Davis, J. C., Falck, R. S., Nagamatsu, L. S., & Liu-Ambrose, T. (2017). Sex differences in exercise efficacy to improve cognition: A systematic review and meta-analysis of randomized controlled trials in older humans. Frontiers in Neuroendocrinology, 46, 71–85. doi: 10.1016/j.yfrne.2017.04.002

Barha, C. K., Hsu, C.-L., ten Brinke, L., & Liu-Ambrose, T. (2019). Biological Sex: A Potential Moderator of Physical Activity Efficacy on Brain Health. Frontiers in Aging Neuroscience, 11. Retrieved from https://www.frontiersin.org/article/10.3389/fnagi.2019.00329

Barnes, J. N. (2015). Exercise, cognitive function, and aging. Advances in Physiology Education, 39(2), 55–62. doi: 10.1152/advan.00101.2014

Barnes, J. N., & Corkery, A. T. (2018). Exercise Improves Vascular Function, but does this Translate to the Brain? Brain Plasticity, 4(1), 65–79. doi: 10.3233/BPL-180075

Barnes, J. N., Taylor, J. L., Kluck, B. N., Johnson, C. P., & Joyner, M. J. (2013). Cerebrovascular reactivity is associated with maximal aerobic capacity in healthy older adults. J Appl Physiol, 114(10), 1383–1387. doi: 10.1152/japplphysiol.01258.2012

Barton, M. (1999). Vascular effects of estrogens: Rapid actions, novel mechanisms, and potential therapeutic implications. Zhongguo Yao Li Xue Bao = Acta Pharmacologica Sinica, 20(8), 682–690.

Bartzokis, G., Beckson, M., Lu, P. H., Nuechterlein, K. H., Edwards, N., & Mintz, J. (2001). Age-related changes in frontal and temporal lobe volumes in men: A magnetic resonance imaging study. Archives of General Psychiatry, 58(5), 461–465. doi: 10.1001/archpsyc.58.5.461

Bassett, D. R., & Howley, E. T. (2000). Limiting factors for maximum oxygen uptake and determinants of endurance performance. Medicine and Science in Sports and Exercise, 32(1), 70–84.

Battisti-Charbonney, A., Fisher, J., & Duffin, J. (2011). The cerebrovascular response to carbon dioxide in humans. The Journal of Physiology, 589(12), 3039–3048. doi: 10.1113/jphysiol.2011.206052

Belfort, M. A., Saade, G. R., Snabes, M., Dunn, R., Moise, K. J., Cruz, A., & Young, R. (1995). Hormonal status affects the reactivity of the cerebral vasculature. American Journal of Obstetrics and Gynecology, 172(4 Pt 1), 1273–1278. doi: 10.1016/0002-9378(95)91492-7

Bellec, P., Rosa-Neto, P., Lyttelton, O. C., Benali, H., & Evans, A. C. (2010). Multi-level bootstrap analysis of stable clusters in resting-state fMRI. NeuroImage, 51(3), 1126–1139. doi: 10.1016/j.neuroimage.2010.02.082

Belleville, S., & Bherer, L. (2012a). Biomarkers of Cognitive Training Effects in Aging. Current Translational Geriatrics and Experimental Gerontology Reports, 1(2), 104–110. doi: 10.1007/s13670-012-0014-5

Belleville, S., & Bherer, L. (2012b). Biomarkers of Cognitive Training Effects in Aging. Current Translational Geriatrics and Experimental Gerontology Reports, 1(2), 104–110. doi: 10.1007/s13670-012-0014-5

Bennett, G., Young, E., Butler, I., & Coe, S. (2021). The Impact of Lockdown During the COVID-19 Outbreak on Dietary Habits in Various Population Groups: A Scoping Review. Frontiers in Nutrition, 8. Retrieved from https://www.frontiersin.org/article/10.3389/fnut.2021.626432

Berthelot, J.-M. (2002). Health-adjusted Life Expectancy (HALE). In Determining Health Expectancies (pp. 235–246). John Wiley & Sons, Ltd. doi: 10.1002/0470858885.ch12

Besnier, F., Gayda, M., Nigam, A., Juneau, M., & Bherer, L. (2020). Cardiac Rehabilitation During Quarantine in COVID-19 Pandemic: Challenges for Center-Based Programs. Archives of Physical Medicine and Rehabilitation. doi: 10.1016/j.apmr.2020.06.004

Best, J. R., Chiu, B. K., Liang Hsu, C., Nagamatsu, L. S., & Liu-Ambrose, T. (2015). Long-Term Effects of Resistance Exercise Training on Cognition and Brain Volume in Older Women: Results from a Randomized Controlled Trial. Journal of the International Neuropsychological Society, 21(10), 745–756. doi: 10.1017/S1355617715000673

Bettio, L. E. B., Rajendran, L., & Gil-Mohapel, J. (2017). The effects of aging in the hippocampus and cognitive decline. Neuroscience and Biobehavioral Reviews, 79, 66–86. doi: 10.1016/j.neubiorev.2017.04.030

Bherer, L., Erickson, K. I., & Liu-Ambrose, T. (2013, September 11). A Review of the Effects of Physical Activity and Exercise on Cognitive and Brain Functions in Older Adults [Review Article]. doi: https://doi.org/10.1155/2013/657508

Bhogal, A. A., Vis, J. B., Siero, J., Petersen, E. T., Luijten, P. R., Hendrikse, J., … Hoogduin, H. (2016). The BOLD cerebrovascular reactivity response to progressive hypercapnia in young and elderly. Neuroimage, 139, 94–102. doi: 10.1016/j.neuroimage.2016.06.010

Binnewies, J., Nawijn, L., van Tol, M.-J., van der Wee, N. J. A., Veltman, D. J., & Penninx, B. W. J. H. (2021). Associations between depression, lifestyle and brain structure: A longitudinal MRI study. NeuroImage, 231, 117834. doi: 10.1016/j.neuroimage.2021.117834

Bohnert, N., Chagnon, J., Dion, P., & Statistics Canada. (2015). Population projections for Canada (2013 to 2063), provinces and territories (2013 to 2038). Retrieved from http://epe.lac-bac.gc.ca/100/201/301/weekly_acquisition_lists/2015/w15-37-F-E.html/collections/collection_2015/statcan/91-520-x2014001-eng.pdf

Boidin, M., Handfield, N., Ribeiro, P. A. B., Desjardins-Crépeau, L., Gagnon, C., Lapierre, G., … Bherer, L. (2020). Obese but Fit: The Benefits of Fitness on Cognition in Obese Older Adults. Canadian Journal of Cardiology, 36(11), 1747–1753. doi:
10.1016/j.cjca.2020.01.005

Bolandzadeh, N., Tam, R., Handy, T. C., Nagamatsu, L. S., Hsu, C. L., Davis, J. C., … Liu-Ambrose, T. (2015). Resistance Training and White Matter Lesion Progression in Older Women: Exploratory Analysis of a 12-Month Randomized Controlled Trial. Journal of the American Geriatrics Society, 63(10), 2052–2060. doi: 10.1111/jgs.13644

Bookheimer, S. Y., Salat, D. H., Terpstra, M., Ances, B. M., Barch, D. M., Buckner, R. L., … Yacoub, E. (2019). The Lifespan Human Connectome Project in Aging: An overview. NeuroImage, 185, 335–348. doi: 10.1016/j.neuroimage.2018.10.009

Boraxbekk, C.-J., Salami, A., Wåhlin, A., & Nyberg, L. (2016). Physical activity over a decade modifies age-related decline in perfusion, gray matter volume, and functional connectivity of the posterior default-mode network-A multimodal approach. NeuroImage, 131, 133–141. doi: 10.1016/j.neuroimage.2015.12.010

Borogovac, A., & Asllani, I. (2012). Arterial Spin Labeling (ASL) fMRI: Advantages, Theoretical Constrains and Experimental Challenges in Neurosciences. International Journal of Biomedical Imaging, 2012, 1–13. doi: 10.1155/2012/818456

Bouchard, C., Tremblay, A., Leblanc, C., Lortie, G., Savard, R., & Thériault, G. (1983). A method to assess energy expenditure in children and adults. The American Journal of Clinical Nutrition, 37(3), 461–467. doi: 10.1093/ajcn/37.3.461

Bourisly, A. K., El-Beltagi, A., Cherian, J., Gejo, G., Al-Jazzaf, A., & Ismail, M. (2015). A voxel-based morphometric magnetic resonance imaging study of the brain detects age-related gray matter volume changes in healthy subjects of 21-45 years old. The Neuroradiology Journal, 28(5), 450–459. doi: 10.1177/1971400915598078

Bowen, R. L., Isley, J. P., & Atkinson, R. L. (2000). An association of elevated serum gonadotropin concentrations and Alzheimer disease. Journal of Neuroendocrinology, 12(4), 351–354. doi: 10.1046/j.1365-2826.2000.00461.x

Brandt, J., Specter, M., & Folstein, M. F. (1988). The Telephone Interview for Cognitive Status. 1, 111–117.

Braz, I., Flück, D., Lip, G., Lundby, C., & Fisher, J. (2017). Impact of aerobic fitness on cerebral blood flow and cerebral vascular responsiveness to CO2 in young and older men. 27(6), 634–642.

Brehmer, Y., Rieckmann, A., Bellander, M., Westerberg, H., Fischer, H., & Bäckman, L. (2011). Neural correlates of training-related working-memory gains in old age. NeuroImage, 58(4), 1110–1120. doi: 10.1016/j.neuroimage.2011.06.079

Breitner, J. C. S., Poirier, J., Etienne, P. E., & Leoutsakos, J. M. (2016). Rationale and Structure for a New Center for Studies on Prevention of Alzheimer’s Disease (StoP-AD). The Journal of Prevention of Alzheimer’s Disease, 3(4), 236–242. doi: 10.14283/jpad.2016.121

Bright, M. G., & Murphy, K. (2013). Reliable quantification of BOLD fMRI cerebrovascular reactivity despite poor breath-hold performance. NeuroImage, 83, 559–568. doi: 10.1016/j.neuroimage.2013.07.007

Brinton, R. D. (2008). The healthy cell bias of estrogen action: Mitochondrial bioenergetics and neurological implications. Trends in Neurosciences, 31(10), 529–537. doi: 10.1016/j.tins.2008.07.003

Brown, B. M., Bourgeat, P., Peiffer, J. J., Burnham, S., Laws, S. M., Rainey-Smith, S. R., … Group, F. the A. R. (2014). Influence of BDNF Val66Met on the relationship between physical activity and brain volume. Neurology, 83(15), 1345–1352. doi: 10.1212/WNL.0000000000000867

Brown, G. G., Clark, C., & Liu, T. T. (2007). Measurement of cerebral perfusion with arterial spin labeling: Part 2. Applications. Journal of the International Neuropsychological Society: JINS, 13(3), 526–538. doi: 10.1017/S1355617707070634

Burns, J. M., Cronk, B. B., Anderson, H. S., Donnelly, J. E., Thomas, G. P., Harsha, A., … Swerdlow, R. H. (2008). Cardiorespiratory fitness and brain atrophy in early Alzheimer disease. Neurology, 71(3), 210–216. doi: 10.1212/01.wnl.0000317094.86209.cb

Burzynska, A. Z., Chaddock-Heyman, L., Voss, M. W., Wong, C. N., Gothe, N. P., Olson, E. A., … Kramer, A. F. (2014). Physical Activity and Cardiorespiratory Fitness Are Beneficial for White Matter in Low-Fit Older Adults. PLoS ONE, 9(9), e107413. doi: 10.1371/journal.pone.0107413

Bushnik, T., Tjepkema, M., & Martel, L. (2018). Health-adjusted life expectancy in Canada. Health Reports, 29(4), 14–22.

Butler, M., McCreedy, E., Nelson, V. A., Desai, P., Ratner, E., Fink, H. A., … Kane, R. L. (2018). Does Cognitive Training Prevent Cognitive Decline? Annals of Internal Medicine, 168(1), 63–68. doi: 10.7326/M17-1531

Buxton, R. B., Frank, L. R., Wong, E. C., Siewert, B., Warach, S., & Edelman, R. R. (1998). A general kinetic model for quantitative perfusion imaging with arterial spin labeling. Magnetic Resonance in Medicine, 40(3), 383–396. doi: 10.1002/mrm.1910400308

Cabeza, R., Nyberg, L., & Park, D. C. (2016). Cognitive Neuroscience of Aging: Linking Cognitive and Cerebral Aging. Oxford University Press.

Cabral, D. F., Rice, J., Morris, T. P., Rundek, T., Pascual-Leone, A., & Gomes-Osman, J. (2019). Exercise for Brain Health: An Investigation into the Underlying Mechanisms Guided by Dose. Neurotherapeutics, 16(3), 580–599. doi: 10.1007/s13311-019-00749-w

Camargo, A., Wang, Z., & Alzheimer’s Disease Neuroimaging Initiative. (2021). Longitudinal Cerebral Blood Flow Changes in Normal Aging and the Alzheimer’s Disease Continuum Identified by Arterial Spin Labeling MRI. Journal of Alzheimer’s Disease: JAD, 81(4), 1727–1735. doi: 10.3233/JAD-210116

Canada, P. H. A. of. (2021, July 14). Aging and chronic diseases: A profile of Canadian seniors [Education and awareness]. Retrieved July 13, 2022, from https://www.canada.ca/en/public-health/services/publications/diseases-conditions/aging-chronic-diseases-profile-canadian-seniors-report.html

Cardenas, V. A., Chao, L. L., Studholme, C., Yaffe, K., Miller, B. L., Madison, C., … Weiner, M. W. (2011). Brain atrophy associated with baseline and longitudinal measures of cognition. Neurobiology of Aging, 32(4), 572–580. doi: 10.1016/j.neurobiolaging.2009.04.011

Carlson, M. C., Xue, Q.-L., Zhou, J., & Fried, L. P. (2009). Executive Decline and Dysfunction Precedes Declines in Memory: The Women’s Health and Aging Study II. The Journals of Gerontology Series A: Biological Sciences and Medical Sciences, 64A(1), 110–117. doi: 10.1093/gerona/gln008

Carmelli, D., Swan, G. E., Reed, T., Wolf, P. A., Miller, B. L., & DeCarli, C. (1999). Midlife cardiovascular risk factors and brain morphology in identical older male twins. Neurology, 52(6), 1119–1119. doi: 10.1212/WNL.52.6.1119

Casadesus, G., Atwood, C. S., Zhu, X., Hartzler, A. W., Webber, K. M., Perry, G., … Smith, M. A. (2005). Evidence for the role of gonadotropin hormones in the development of Alzheimer disease. Cellular and Molecular Life Sciences: CMLS, 62(3), 293–298. doi: 10.1007/s00018-004-4384-0

Casaletto, K. B., Lindbergh, C., Memel, M., Staffaroni, A., Elahi, F., Weiner-Light, S., … Kramer, J. H. (2020). Sexual dimorphism of physical activity on cognitive aging: Role of immune functioning. Brain, Behavior, and Immunity, 88, 699–710. doi: 10.1016/j.bbi.2020.05.014

Caspersen, C. J., Powell, K. E., & Christenson, G. M. (1985). Physical activity, exercise, and physical fitness: Definitions and distinctions for health-related research. Public Health Reports, 100(2), 126–131.

Castells-Sánchez, A., Roig-Coll, F., Lamonja-Vicente, N., Torán-Monserrat, P., Pera, G., Montero, P., … Mataró, M. (2021). Sex Matters in the Association between Physical Activity and Fitness with Cognition. Medicine and Science in Sports and Exercise, 53(6), 1252–1259. doi: 10.1249/MSS.0000000000002570

Catchlove, S. J., Macpherson, H., Hughes, M. E., Chen, Y., Parrish, T. B., & Pipingas, A. (2018). An investigation of cerebral oxygen utilization, blood flow and cognition in healthy aging. PloS One, 13(5), e0197055. doi: 10.1371/journal.pone.0197055

Catchlove, S. J., Parrish, T. B., Chen, Y., Macpherson, H., Hughes, M. E., & Pipingas, A. (2018). Regional Cerebrovascular Reactivity and Cognitive Performance in Healthy Aging. J Exp Neurosci, 12, 1179069518785151. doi: 10.1177/1179069518785151

Celone, K. A., Calhoun, V. D., Dickerson, B. C., Atri, A., Chua, E. F., Miller, S. L., … Sperling, R. A. (2006). Alterations in Memory Networks in Mild Cognitive Impairment and Alzheimer’s Disease: An Independent Component Analysis. The Journal of Neuroscience, 26(40), 10222–10231. doi: 10.1523/JNEUROSCI.2250-06.2006

Chait, A., & den Hartigh, L. J. (2020). Adipose Tissue Distribution, Inflammation and Its Metabolic Consequences, Including Diabetes and Cardiovascular Disease. Frontiers in Cardiovascular Medicine, 7, 22. doi: 10.3389/fcvm.2020.00022

Chambers, J. M. (1992). Linear Models. In Statistical Models in S. Routledge.

Chao, Y.-P., Wu, C. W., Lin, L.-J., Lai, C.-H., Wu, H.-Y., Hsu, A.-L., & Chen, C.-N. (2020). Cognitive Load of Exercise Influences Cognition and Neuroplasticity of Healthy Elderly: An Exploratory Investigation. Journal of Medical and Biological Engineering, 40(3), 391–399. doi: 10.1007/s40846-020-00522-x

Chapman, S., Aslan, S., Spence, J. S., Hart, J. J., Bartz, E. K., Didehbani, N., … Lu, H. (2015). Neural Mechanisms of Brain Plasticity with Complex Cognitive Training in Healthy Seniors. Cerebral Cortex, 25(2), 396–405. doi: 10.1093/cercor/bht234

Chapman, S. B., Aslan, S., Spence, J. S., F, D., Laura, Keebler, M. W., Didehbani, N., & Lu, H. (2013). Shorter term aerobic exercise improves brain, cognition, and cardiovascular fitness in aging. Front Aging Neurosci, 5, 75. doi: 10.3389/fnagi.2013.00075

Chapman, S. B., Aslan, S., Spence, J. S., Keebler, M. W., DeFina, L. F., Didehbani, N., … D’Esposito, M. (2016). Distinct Brain and Behavioral Benefits from Cognitive vs. Physical Training: A Randomized Trial in Aging Adults. Frontiers in Human Neuroscience, 10. doi: 10.3389/fnhum.2016.00338

Chapman, S. B., Aslan, S., Spence, J. S., Keebler, M. W., F, D., Laura, Didehbani, N., … Mark, D. (2016). Distinct Brain and Behavioral Benefits from Cognitive vs. Physical Training: A Randomized Trial in Aging Adults. Front Hum Neurosci, 10, 338. doi: 10.3389/fnhum.2016.00338

Chapman, S., Spence, J. S., Aslan, S., & Keebler, M. W. (2017). Enhancing Innovation and Underlying Neural Mechanisms Via Cognitive Training in Healthy Older Adults. Frontiers in Aging Neuroscience, 9. doi: 10.3389/fnagi.2017.00314

Chappell, M. A., Groves, A. R., Whitcher, B., & Woolrich, M. W. (2009). Variational Bayesian Inference for a Nonlinear Forward Model. IEEE Transactions on Signal Processing, 57(1), 223–236. doi: 10.1109/TSP.2008.2005752

Chappell, M. A., Woolrich, M. W., Kazan, S., Jezzard, P., Payne, S. J., & MacIntosh, B. J. (2013). Modeling dispersion in arterial spin labeling: Validation using dynamic angiographic measurements. Magnetic Resonance in Medicine, 69(2), 563–570. doi: 10.1002/mrm.24260

Chappell, M., Groves, A., Whitcher, B., & Woolrich, M. (2009). Variational Bayesian inference for a nonlinear forward model. IEEE Transactions on Signal Processing, 57(1), 223–236.

Chen, J. J., & Pike, B. G. (2010). MRI measurement of the BOLD-specific flow–volume relationship during hypercapnia and hypocapnia in humans. Neuroimage, 53(2), 383–391. doi: 10.1016/j.neuroimage.2010.07.003

Chen, J., Rosas, H., & Salat, D. (2011). Age-associated reductions in cerebral blood flow are independent from regional atrophy. Neuroimage, 55(2), 468–478. doi: doi:10.1016/j.neuroimage.2010.12.032

Chen, Y., Wang, J., Cui, C., Su, Y., Jing, D., Wu, L., … Liang, Z. (2021). Evaluating the association between brain atrophy, hypometabolism, and cognitive decline in Alzheimer’s disease: A PET/MRI study. Aging (Albany NY), 13(5), 7228–7246. doi: 10.18632/aging.202580

Chieffi, S., Messina, G., Villano, I., Messina, A., Valenzano, A., Moscatelli, F., … Monda, M. (2017). Neuroprotective Effects of Physical Activity: Evidence from Human and Animal Studies. Frontiers in Neurology, 8, 188. doi: 10.3389/fneur.2017.00188

Chrissobolis, S., & Sobey, C. G. (2004). Influence of gender on K+-induced cerebral vasodilatation. Stroke, 35(3), 747–752. doi: 10.1161/01.STR.0000116867.28589.3A

Chutinet, A., & Rost, N. S. (2014). White matter disease as a biomarker for long-term cerebrovascular disease and dementia. Current Treatment Options in Cardiovascular Medicine, 16(3), 292. doi: 10.1007/s11936-013-0292-z

Clark, L. R., Koscik, R. L., Allison, S. L., Berman, S. E., Norton, D., Carlsson, C. M., … Johnson, S. C. (2019). Hypertension and obesity moderate the relationship between beta-amyloid and cognitive decline in midlife. Alzheimer’s & Dementia : The Journal of the Alzheimer’s Association, 15(3), 418–428. doi: 10.1016/j.jalz.2018.09.008

Clark, L. R., Schiehser, D. M., Weissberger, G. H., Salmon, D. P., Delis, D. C., & Bondi, M. W. (2012). Specific Measures of Executive Function Predict Cognitive Decline in Older Adults. Journal of the International Neuropsychological Society, 18(1), 118–127. doi: 10.1017/S1355617711001524

Clarke, D. D., & Sokoloff, L. (1999). Regulation of Cerebral Metabolic Rate. Basic Neurochemistry: Molecular, Cellular and Medical Aspects. 6th Edition. Retrieved from https://www.ncbi.nlm.nih.gov/books/NBK28194/

Claus, J. J., Breteler, M. M. B., Hasan, D., Krenning, E. P., Bots, M. L., Grobbee, D. E., … Hofman, A. (1998). Regional Cerebral Blood Flow and Cerebrovascular Risk Factors in the Elderly Population. Neurobiology of Aging, 19(1), 57–64. doi: 10.1016/S0197-4580(98)00004-9

Cohen, E., Margalit, I., Shochat, T., Goldberg, E., & Krause, I. (2021). Markers of Chronic Inflammation in Overweight and Obese Individuals and the Role of Gender: A Cross-Sectional Study of a Large Cohort. Journal of Inflammation Research, 14, 567–573. doi: 10.2147/JIR.S294368

Colcombe, S. J., Erickson, K. I., Scalf, P. E., Kim, J. S., Prakash, R., McAuley, E., … Kramer, A. F. (2006). Aerobic Exercise Training Increases Brain Volume in Aging Humans. The Journals of Gerontology: Series A, 61(11), 1166–1170. doi: 10.1093/gerona/61.11.1166

Colcombe, SJ, Erickson, K., Raz, N., Webb, A., Cohen, N., McAuley, E., & Kramer, A. (2003). Aerobic fitness reduces brain tissue loss in aging humans. J Gerontol A Biol Sci Med Sci, 58(2), 176–180. doi: 10.1093/gerona/58.2.M176

Colcombe, SJ, Erickson, K., Scalf, P., Kim, J., Prakash, R., McAuley, E., … Kramer, A. (2006). Aerobic exercise training increases brain volume in aging humans. J Gerontol A Biol Sci Med Sci, 61(11), 1166–1170.

Colcombe, SJ, Kramer, A. F., Erickson, K. I., Scalf, P., McAuley, E., Cohen, N. J., … Elavsky, S. (2004). Cardiovascular fitness, cortical plasticity, and aging. Proceedings of the National Academy of Sciences of the United States of America, 101(9), 3316–3321. doi: 10.1073/pnas.0400266101

Colcombe, Stanley, & Kramer, A. F. (2003). Fitness effects on the cognitive function of older adults: A meta-analytic study. Psychological Science, 14(2), 125–130. doi: 10.1111/1467-9280.t01-1-01430

Cooper, A. J., Gupta, S. R., Moustafa, A. F., & Chao, A. M. (2021). Sex/Gender Differences in Obesity Prevalence, Comorbidities, and Treatment. Current Obesity Reports, 10(4), 458–466. doi: 10.1007/s13679-021-00453-x

Corbin, C. B., Pangrazi, R. P., & Franks, B. D. (2000). Definitions: Health, fitness, and physical activity. President’s Council on Physical Fitness and Sports Research Digest.

Corbin, J. D., Reimann, E. M., Walsh, D. A., & Krebs, E. G. (1970). Activation of Adipose Tissue Lipase by Skeletal Muscle Cyclic Adenosine 3’,5’-Monophosphate-stimulated Protein Kinase. Journal of Biological Chemistry, 245(18), 4849–4851. doi: 10.1016/S0021-9258(18)62871-6

Crivello, F., Tzourio-Mazoyer, N., Tzourio, C., & Mazoyer, B. (2014). Longitudinal Assessment of Global and Regional Rate of Grey Matter Atrophy in 1,172 Healthy Older Adults: Modulation by Sex and Age. PLOS ONE, 9(12), e114478. doi: 10.1371/journal.pone.0114478

d’Arbeloff, T., Elliott, M. L., Knodt, A. R., Melzer, T. R., Keenan, R., Ireland, D., … Hariri, A. R. (2019). White matter hyperintensities are common in midlife and already associated with cognitive decline. Brain Communications, 1(1), fcz041. doi: 10.1093/braincomms/fcz041

Daffner, K. R. (2010). Promoting successful cognitive aging: A comprehensive review. Journal of Alzheimer’s Disease: JAD, 19(4), 1101–1122. doi: 10.3233/JAD-2010-1306

D’Agostino, R. B., Vasan, R. S., Pencina, M. J., Wolf, P. A., Cobain, M., Massaro, J. M., & Kannel, W. B. (2008). General cardiovascular risk profile for use in primary care: The Framingham Heart Study. Circulation, 117(6), 743–753. doi: 10.1161/CIRCULATIONAHA.107.699579

Dai, J., Sang, X., Menhas, R., Xu, X., Khurshid, S., Mahmood, S., … Alam, M. N. (2021). The Influence of COVID-19 Pandemic on Physical Health–Psychological Health, Physical Activity, and Overall Well-Being: The Mediating Role of Emotional Regulation. Frontiers in Psychology, 12. Retrieved from https://www.frontiersin.org/article/10.3389/fpsyg.2021.667461

Dai, W., Garcia, D., de Bazelaire, C., & Alsop, D. C. (2008). Continuous flow-driven inversion for arterial spin labeling using pulsed radio frequency and gradient fields. Magnetic Resonance in Medicine, 60(6), 1488–1497. doi: 10.1002/mrm.21790

Dake, M. D., De Marco, M., Blackburn, D. J., Wilkinson, I. D., Remes, A., Liu, Y., … Venneri, A. (2021). Obesity and Brain Vulnerability in Normal and Abnormal Aging: A Multimodal MRI Study. Journal of Alzheimer’s Disease Reports, 5(1), 65–77. doi: 10.3233/ADR-200267

Dao, E., Barha, C. K., Best, J. R., Hsiung, G.-Y., Tam, R., & Liu-Ambrose, T. (2019). The Effect of Aerobic Exercise on White Matter Hyperintensity Progression May Vary by Sex. Canadian Journal on Aging / La Revue Canadienne Du Vieillissement, 38(2), 236–244. doi: 10.1017/S0714980818000582

de la Torre, J. (2018). The Vascular Hypothesis of Alzheimer’s Disease: A Key to Preclinical Prediction of Dementia Using Neuroimaging. Journal of Alzheimer’s Disease, 63(1), 35–52. doi: 10.3233/JAD-180004

de la Torre, J. C. (2000). Critically attained threshold of cerebral hypoperfusion: The CATCH hypothesis of Alzheimer’s pathogenesis. Neurobiology of Aging, 21(2), 331–342. doi: 10.1016/s0197-4580(00)00111-1

de Lange, A.-M. G., Bråthen, A. C. S., Grydeland, H., Sexton, C., Johansen-Berg, H., Andersson, J. L. R., … Walhovd, K. B. (2016). White matter integrity as a marker for cognitive plasticity in aging. Neurobiology of Aging, 47, 74–82. doi: 10.1016/j.neurobiolaging.2016.07.007

de Lange, A.-M. G., Bråthen, A. C. S., Rohani, D. A., Fjell, A. M., & Walhovd, K. B. (2018). The Temporal Dynamics of Brain Plasticity in Aging. Cerebral Cortex, 28(5), 1857–1865. doi: 10.1093/cercor/bhy003

de Lange, A.-M. G., Bråthen, A. C. S., Rohani, D. A., Grydeland, H., Fjell, A. M., & Walhovd, K. B. (2017). The effects of memory training on behavioral and microstructural plasticity in young and older adults: Effects of Memory Training in Young and Older Adults. Human Brain Mapping, 38(11), 5666–5680. doi: 10.1002/hbm.23756

de Leeuw, F. ‐E., de Groot, J. C., Oudkerk, M., Witteman, J. C. M., Hofman, A., van Gijn, J., & Breteler, M. M. B. (2002). Hypertension and cerebral white matter lesions in a prospective cohort study. Brain, 125(4), 765–772. doi: 10.1093/brain/awf077

De Vis, J. B., Bhogal, A. A., Hendrikse, J., Petersen, E. T., & Siero, J. (2018). Effect sizes of BOLD CVR, resting-state signal fluctuations and time delay measures for the assessment of hemodynamic impairment in carotid occlusion patients. Neuroimage. doi: 10.1016/j.neuroimage.2018.06.017

de Vis, J., Hendrikse, J., Bhogal, A., Adams, A., Kappelle, L., & Petersen, E. (2015). Age‐related changes in brain hemodynamics; A calibrated MRI study. Hum Brain Mapp, 36(10), 3973–3987.

De Vis, J.B., Hendrikse, J., Bhogal, A., Adams, A., Kappelle, L. J., & Petersen, E. T. (2015). Age-related changes in brain hemodynamics; A calibrated MRI study: Age-Related Changes in Brain Hemodynamics. Human Brain Mapping, 36(10), 3973–3987. doi: 10.1002/hbm.22891

De Vis, Jill B., Peng, S.-L., Chen, X., Li, Y., Liu, P., Sur, S., … Lu, H. (2018). Arterial-spin-labeling (ASL) perfusion MRI predicts cognitive function in elderly individuals: A 4-year longitudinal study: CBF Predicts Cognition in Healthy Aging. Journal of Magnetic Resonance Imaging, 48(2), 449–458. doi: 10.1002/jmri.25938

Debette, S., Beiser, A., Hoffmann, U., DeCarli, C., O’Donnell, C. J., Massaro, J. M., … Seshadri, S. (2010). Visceral fat is associated with lower brain volume in healthy middle-aged adults. Annals of Neurology, 68(2), 136–144. doi: 10.1002/ana.22062

Debette, S., & Markus, H. S. (2010). The clinical importance of white matter hyperintensities on brain magnetic resonance imaging: Systematic review and meta-analysis. BMJ (Clinical Research Ed.), 341, c3666. doi: 10.1136/bmj.c3666

Debette, S., Wolf, C., Lambert, J.-C., Crivello, F., Soumaré, A., Zhu, Y.-C., … Elbaz, A. (2014). Abdominal obesity and lower gray matter volume: A Mendelian randomization study. Neurobiology of Aging, 35(2), 378–386. doi: 10.1016/j.neurobiolaging.2013.07.022

DeCarli, C., Massaro, J., Harvey, D., Hald, J., Tullberg, M., Au, R., … Wolf, P. A. (2005). Measures of brain morphology and infarction in the framingham heart study: Establishing what is normal. Neurobiology of Aging, 26(4), 491–510. doi: 10.1016/j.neurobiolaging.2004.05.004

Dekkers, I. A., Jansen, P. R., & Lamb, H. J. (2019). Obesity, Brain Volume, and White Matter Microstructure at MRI: A Cross-sectional UK Biobank Study. Radiology, 291(3), 763–771. doi: 10.1148/radiol.2019181012

Demirakca, T., Brusniak, W., Tunc-Skarka, N., Wolf, I., Meier, S., Matthäus, F., … Diener, C. (2014). Does body shaping influence brain shape? Habitual physical activity is linked to brain morphology independent of age. The World Journal of Biological Psychiatry, 15(5), 387–396. doi: 10.3109/15622975.2013.803600

Detre, J. A., Leigh, J. S., Williams, D. S., & Koretsky, A. P. (1992). Perfusion imaging. Magnetic Resonance in Medicine, 23(1), 37–45.

Detre, J. A., Zhang, W., Roberts, D. A., Silva, A. C., Williams, D. S., Grandis, D. J., … Leigh, J. S. (1994). Tissue specific perfusion imaging using arterial spin labeling. NMR in Biomedicine, 7(1–2), 75–82. doi: 10.1002/nbm.1940070112

Di Liegro, Schiera, Proia, & Di Liegro. (2019). Physical Activity and Brain Health. Genes, 10(9), 720. doi: 10.3390/genes10090720

Domingos, C., Pêgo, J. M., & Santos, N. C. (2021). Effects of physical activity on brain function and structure in older adults: A systematic review. Behavioural Brain Research, 402, 113061. doi: 10.1016/j.bbr.2020.113061

Donahue, M. J., Dethrage, L. M., Faraco, C. C., Jordan, L. C., Clemmons, P., Singer, R., … Strother, M. K. (2014). Routine clinical evaluation of cerebrovascular reserve capacity using carbogen in patients with intracranial stenosis. Stroke, 45(8), 2335–2341. doi: 10.1161/STROKEAHA.114.005975

Dore, G. A., Elias, M. F., Robbins, M. A., Budge, M. M., & Elias, P. K. (2008). Relation between central adiposity and cognitive function in the Maine-Syracuse Study: Attenuation by physical activity. Annals of Behavioral Medicine: A Publication of the Society of Behavioral Medicine, 35(3), 341–350. doi: 10.1007/s12160-008-9038-7

Dougherty, R. J., Jonaitis, E. M., Gaitán, J. M., Lose, S. R., Mergen, B. M., Johnson, S. C., … Cook, D. B. (2021). Cardiorespiratory fitness mitigates brain atrophy and cognitive decline in adults at risk for Alzheimer’s disease. Alzheimer’s & Dementia (Amsterdam, Netherlands), 13(1), e12212. doi: 10.1002/dad2.12212

Driscoll, I., Gaussoin, S. A., Wassertheil-Smoller, S., Limacher, M., Casanova, R., Yaffe, K., … Espeland, M. A. (2016). Obesity and Structural Brain Integrity in Older Women: The Women’s Health Initiative Magnetic Resonance Imaging Study. The Journals of Gerontology Series A: Biological Sciences and Medical Sciences, 71(9), 1216–1222. doi: 10.1093/gerona/glw023

DuBose, L. E., Weng, T. B., Pierce, G. L., Wharff, C., Reist, L., Hamilton, C., … Voss, M. W. (2022). Association between cardiorespiratory fitness and cerebrovascular reactivity to a breath-hold stimulus in older adults: Influence of aerobic exercise training. Journal of Applied Physiology, 132(6), 1468–1479. doi: 10.1152/japplphysiol.00599.2021

Eikelis, N., Wiesner, G., Lambert, G., & Esler, M. (2007). Brain leptin resistance in human obesity revisited. Regulatory Peptides, 139(1), 45–51. doi: 10.1016/j.regpep.2006.10.003

El Khoudary, S. R., Aggarwal, B., Beckie, T. M., Hodis, H. N., Johnson, A. E., Langer, R. D., … American Heart Association Prevention Science Committee of the Council on Epidemiology and Prevention; and Council on Cardiovascular and Stroke Nursing. (2020). Menopause Transition and Cardiovascular Disease Risk: Implications for Timing of Early Prevention: A Scientific Statement From the American Heart Association. Circulation, 142(25), e506–e532. doi: 10.1161/CIR.0000000000000912

Elliott, A. C., & Woodward, W. A. (2007). Statistical Analysis Quick Reference Guidebook: With SPSS Examples. SAGE.

Erecińska, M, & Silver, I. (1989). ATP and brain function. J. Cereb. Blood Flow Metab., 9(1), 2–19. doi: 10.1038/jcbfm.1989.2

Erickson, K. I., Leckie, R. L., & Weinstein, A. M. (2014a). Physical activity, fitness, and gray matter volume. Neurobiol Aging, 35, S20–S28. doi: 10.1016/j.neurobiolaging.2014.03.034

Erickson, K. I., Prakash, R. S., Voss, M. W., Chaddock, L., Hu, L., Morris, K. S., … Kramer, A. F. (2009). Aerobic Fitness is Associated With Hippocampal Volume in Elderly Humans. Hippocampus, 19(10), 1030–1039. doi: 10.1002/hipo.20547

Erickson, K. I., Voss, M. W., Prakash, R. S., Basak, C., Szabo, A., Chaddock, L., … Kramer, A. F. (2011). Exercise training increases size of hippocampus and improves memory. Proceedings of the National Academy of Sciences of the United States of America, 108(7), 3017–3022. doi: 10.1073/pnas.1015950108

Erickson, K., & Kramer, A. (2009). Aerobic exercise effects on cognitive and neural plasticity in older adults. Brit J Sport Med, 43(1), 22–24. doi: 10.1136/bjsm.2008.052498

Erickson, K., Raji, C., Lopez, O., Becker, J., Rosano, C., Newman, A., … Kuller, L. (2010). Physical activity predicts gray matter volume in late adulthood: The Cardiovascular Health Study. Neurology, 75(16), 1415–1422. doi: 10.1212/wnl.0b013e3181f88359

Espeland, M. A., Hayden, K. M., Lockhart, S. N., Yassine, H. N., Hoscheidt, S., Yasar, S., … Carmichael, O. (2020). Sex-Related Differences in Brain Volumes and Cerebral Blood Flow Among Overweight and Obese Adults With Type 2 Diabetes: Exploratory Analyses From the Action for Health in Diabetes Brain Magnetic Resonance Imaging Study. The Journals of Gerontology Series A: Biological Sciences and Medical Sciences, 75(4), 771–778. doi: 10.1093/gerona/glz090

Falck, R. S., Davis, J. C., Best, J. R., Crockett, R. A., & Liu-Ambrose, T. (2019). Impact of exercise training on physical and cognitive function among older adults: A systematic review and meta-analysis. Neurobiology of Aging, 79, 119–130. doi: 10.1016/j.neurobiolaging.2019.03.007

Farkas, E., & Luiten, P. G. (2001). Cerebral microvascular pathology in aging and Alzheimer’s disease. Progress in Neurobiology, 64(6), 575–611. doi: 10.1016/s0301-0082(00)00068-x

Farokhian, F., Yang, C., Beheshti, I., Matsuda, H., & Wu, S. (2017). Age-Related Gray and White Matter Changes in Normal Adult Brains. Aging Dis, 8(6), 899–909. doi: 10.14336/AD.2017.0502

Fatemi, F., Kantarci, K., Graff-Radford, J., Preboske, G. M., Weigand, S. D., Przybelski, S. A., … Vemuri, P. (2018). Sex differences in cerebrovascular pathologies on FLAIR in cognitively unimpaired elderly. Neurology, 90(6), e466–e473. doi: 10.1212/WNL.0000000000004913

Fazekas, F., Kleinert, R., Offenbacher, H., Schmidt, R., Kleinert, G., Payer, F., … Lechner, H. (1993). Pathologic correlates of incidental MRI white matter signal hyperintensities. Neurology, 43(9), 1683–1689. doi: 10.1212/wnl.43.9.1683

Fazekas, J. F., Alman, R. W., & Bessman, A. N. (1952). Cerebral physiology of the aged. The American Journal of the Medical Sciences, 223(3), 245–257. doi: 10.1097/00000441-195203000-00003

Fernando, M. S., O’Brien, J. T., Perry, R. H., English, P., Forster, G., McMeekin, W., … Neuropathology Group of MRC CFAS. (2004). Comparison of the pathology of cerebral white matter with post-mortem magnetic resonance imaging (MRI) in the elderly brain. Neuropathology and Applied Neurobiology, 30(4), 385–395. doi: 10.1111/j.1365-2990.2004.00550.x

Fiford, C. M., Sudre, C. H., Young, A. L., Macdougall, A., Nicholas, J., Manning, E. N., … for the Alzheimer’s Disease Neuroimaging Initiative. (2021). Presumed small vessel disease, imaging and cognition markers in the Alzheimer’s Disease Neuroimaging Initiative. Brain Communications, 3(4), fcab226. doi: 10.1093/braincomms/fcab226

Firbank, M. J., Wiseman, R. M., Burton, E. J., Saxby, B. K., O’Brien, J. T., & Ford, G. A. (2007). Brain atrophy and white matter hyperintensity change in older adults and relationship to blood pressure. Journal of Neurology, 254(6), 713. doi: 10.1007/s00415-006-0238-4

Fischl, B. (2012). FreeSurfer. NeuroImage, 62(2), 774–781. doi: 10.1016/j.neuroimage.2012.01.021

Fitzpatrick, A. L., Kuller, L. H., Lopez, O. L., Diehr, P., O’Meara, E. S., Longstreth, W. T., Jr, & Luchsinger, J. A. (2009). Midlife and Late-Life Obesity and the Risk of Dementia: Cardiovascular Health Study. Archives of Neurology, 66(3), 336–342. doi: 10.1001/archneurol.2008.582

Fjell, A. M., Walhovd, K. B., Fennema-Notestine, C., McEvoy, L. K., Hagler, D. J., Holland, D., … Dale, A. M. (2009). One-Year Brain Atrophy Evident in Healthy Aging. The Journal of Neuroscience, 29(48), 15223–15231. doi: 10.1523/JNEUROSCI.3252-09.2009

Fjell, A. M., Westlye, L. T., Amlien, I. K., & Walhovd, K. B. (2011). Reduced White Matter Integrity Is Related to Cognitive Instability. Journal of Neuroscience, 31(49), 18060–18072. doi: 10.1523/JNEUROSCI.4735-11.2011

Flodin, P., Jonasson, L. S., Riklund, K., Nyberg, L., & Boraxbekk, C. J. (2017). Does Aerobic Exercise Influence Intrinsic Brain Activity? An Aerobic Exercise Intervention among Healthy Old Adults. Frontiers in Aging Neuroscience, 9, 267. doi: 10.3389/fnagi.2017.00267

Flöel, A., Ruscheweyh, R., Krüger, K., Willemer, C., Winter, B., Völker, K., … Knecht, S. (2010). Physical activity and memory functions: Are neurotrophins and cerebral gray matter volume the missing link? NeuroImage, 49(3), 2756–2763. doi: 10.1016/j.neuroimage.2009.10.043

Flück, D., Braz, I., Keiser, S., Hüppin, F., Haider, T., Hilty, M., … Lundby, C. (2014). Age, aerobic fitness, and cerebral perfusion during exercise: Role of carbon dioxide. Am J Physiol Heart Circ Physiol, 307(4), H515-23.

Forny-Germano, L., De Felice, F. G., & Vieira, M. N. do N. (2019). The Role of Leptin and Adiponectin in Obesity-Associated Cognitive Decline and Alzheimer’s Disease. Frontiers in Neuroscience, 12, 1027. doi: 10.3389/fnins.2018.01027

Franchetti, M. K., Bharadwaj, P. K., Nguyen, L. A., Van Etten, E. J., Klimentidis, Y. C., Hishaw, G. A., … Alexander, G. E. (2020). Interaction of Age and Self-reported Physical Sports Activity on White Matter Hyperintensity Volume in Healthy Older Adults. Frontiers in Aging Neuroscience, 12, 576025. doi: 10.3389/fnagi.2020.576025

Fraser, M. A., Walsh, E. I., Shaw, M. E., Anstey, K. J., & Cherbuin, N. (2022). Longitudinal Effects of Physical Activity Change on Hippocampal Volumes over up to 12 Years in Middle and Older Age Community-Dwelling Individuals. Cerebral Cortex, 32(13), 2705–2716. doi: 10.1093/cercor/bhab375

Friedenreich, C. M., Courneya, K. S., & Bryant, H. E. (1998). The lifetime total physical activity questionnaire: Development and reliability. Medicine and Science in Sports and Exercise, 30(2), 266–274. doi: 10.1097/00005768-199802000-00015

Furby, H. V., Warnert, E. A., Marley, C. J., Bailey, D. M., & Wise, R. G. (2020). Cardiorespiratory fitness is associated with increased middle cerebral arterial compliance and decreased cerebral blood flow in young healthy adults: A pulsed ASL MRI study. Journal of Cerebral Blood Flow & Metabolism, 40(9), 1879–1889. doi: 10.1177/0271678X19865449

Galluzzi, S., Lanni, C., Pantoni, L., Filippi, M., & Frisoni, G. B. (2008). White matter lesions in the elderly: Pathophysiological hypothesis on the effect on brain plasticity and reserve. Journal of the Neurological Sciences, 273(1–2), 3–9. doi: 10.1016/j.jns.2008.06.023

Garber, C. E., Blissmer, B., Deschenes, M. R., Franklin, B. A., Lamonte, M. J., Lee, I.-M., … American College of Sports Medicine. (2011). American College of Sports Medicine position stand. Quantity and quality of exercise for developing and maintaining cardiorespiratory, musculoskeletal, and neuromotor fitness in apparently healthy adults: Guidance for prescribing exercise. Medicine and Science in Sports and Exercise, 43(7), 1334–1359. doi: 10.1249/MSS.0b013e318213fefb

Garcia, D. M., Duhamel, G., & Alsop, D. C. (2005). Efficiency of inversion pulses for background suppressed arterial spin labeling. Magnetic Resonance in Medicine, 54(2), 366–372. doi: 10.1002/mrm.20556

García-García, I., Michaud, A., Jurado, M. Á., Dagher, A., & Morys, F. (2022). Mechanisms linking obesity and its metabolic comorbidities with cerebral grey and white matter changes. Reviews in Endocrine and Metabolic Disorders. doi: 10.1007/s11154-021-09706-5

Garnier-Crussard, A., Bougacha, S., Wirth, M., André, C., Delarue, M., Landeau, B., … Chételat, G. (2020). White matter hyperintensities across the adult lifespan: Relation to age, Aβ load, and cognition. Alzheimer’s Research & Therapy, 12, 127. doi: 10.1186/s13195-020-00669-4

Gaser, C, & Dahnke R. (2016). CAT-a computational anatomy toolbox for the analysis of structural MRI data. HBM.

Gauthier, C. J., Desjardins-Crépeau, L., Madjar, C., Bherer, L., & Hoge, R. D. (2012). Absolute quantification of resting oxygen metabolism and metabolic reactivity during functional activation using QUO2 MRI. NeuroImage, 63(3), 1353–1363. doi: 10.1016/j.neuroimage.2012.07.065

Gauthier, C. J., & Fan, A. P. (2018). BOLD signal physiology: Models and applications. NeuroImage. doi: 10.1016/j.neuroimage.2018.03.018

Gauthier, C. J., & Hoge, R. D. (2012). Magnetic resonance imaging of resting OEF and CMRO₂ using a generalized calibration model for hypercapnia and hyperoxia. NeuroImage, 60(2), 1212–1225. doi: 10.1016/j.neuroimage.2011.12.056

Gauthier, C., Lefort, M., Mekary, S., Desjardins-Crépeau, L., Skimminge, A., Iversen, P., … Hoge, R. D. (2015). Hearts and minds: Linking vascular rigidity and aerobic fitness with cognitive aging. Neurobiol Aging, 36(1), 304–314. doi: 10.1016/j.neurobiolaging.2014.08.018

Gauthier, Claudine J, Madjar, C., Desjardins-Crépeau, L., Bellec, P., Bherer, L., & Hoge, R. D. (2013). Age dependence of hemodynamic response characteristics in human functional magnetic resonance imaging. Neurobiol Aging, 34(5), 1469–1485. doi: 10.1016/j.neurobiolaging.2012.11.002

Ghasemi, A., & Zahediasl, S. (2012). Normality Tests for Statistical Analysis: A Guide for Non-Statisticians. International Journal of Endocrinology and Metabolism, 10(2), 486–489. doi: 10.5812/ijem.3505

Giezendanner, S., Fisler, M. S., Soravia, L. M., Andreotti, J., Walther, S., Wiest, R., … Federspiel, A. (2016). Microstructure and Cerebral Blood Flow within White Matter of the Human Brain: A TBSS Analysis. PLOS ONE, 11(3), e0150657. doi: 10.1371/journal.pone.0150657

Gilkes, C. E., & Whitfield, P. C. (2009). Intracranial pressure and cerebral blood flow. A pathophysiological and clinical perspective. Surgery (Oxford), 27(3), 139–144. doi: 10.1016/j.mpsur.2009.02.008

Girouard, H., & Iadecola, C. (2006). Neurovascular coupling in the normal brain and in hypertension, stroke, and Alzheimer disease. Journal of Applied Physiology (Bethesda, Md.: 1985), 100(1), 328–335. doi: 10.1152/japplphysiol.00966.2005

Gliemann, L., & Hellsten, Y. (2019). The exercise timing hypothesis: Can exercise training compensate for the reduction in blood vessel function after menopause if timed right? The Journal of Physiology, 597(19), 4915–4925. doi: 10.1113/JP277056

Glover, G. H. (1999). Deconvolution of Impulse Response in Event-Related BOLD fMRI1. Neuroimage, 9(4), 416–429. doi: 10.1006/nimg.1998.0419

Gomes-Osman, J., Cabral, D. F., Morris, T. P., Katalina, M., Cahalin, L. P., Rundek, T., … Alvaro, P.-L. (2018). Exercise for cognitive brain health in aging: A systematic review for an evaluation of dose. Neurol Clin Pract, 8(3), 257–265. doi: 10.1212/CPJ.0000000000000460

Gonneaud, J., Moreau, I., Felisatti, F., Arenaza‐Urquijo, E., Ourry, V., Touron, E., … Chételat, G. (2022). Men and women show partly distinct effects of physical activity on brain integrity. Alzheimer’s & Dementia : Diagnosis, Assessment & Disease Monitoring, 14(1), e12302. doi: 10.1002/dad2.12302

Gorbach, T., Pudas, S., Lundquist, A., Orädd, G., Josefsson, M., Salami, A., … Nyberg, L. (2017). Longitudinal association between hippocampus atrophy and episodic-memory decline. Neurobiology of Aging, 51, 167–176. doi: 10.1016/j.neurobiolaging.2016.12.002
Government of Canada, S. C. (2019, June 25). Overweight and obese adults, 2018. Retrieved April 8, 2022, from https://www150.statcan.gc.ca/n1/pub/82-625-x/2019001/article/00005-eng.htm

Gow, A. J., Bastin, M. E., Muñoz Maniega, S., Valdés Hernández, M. C., Morris, Z., Murray, C., … Wardlaw, J. M. (2012). Neuroprotective lifestyles and the aging brain: Activity, atrophy, and white matter integrity. Neurology, 79(17), 1802–1808. doi: 10.1212/WNL.0b013e3182703fd2

Grauer, W. O., Moss, A. A., Cann, C. E., & Goldberg, H. I. (1984). Quantification of body fat distribution in the abdomen using computed tomography. The American Journal of Clinical Nutrition, 39(4), 631–637. doi: 10.1093/ajcn/39.4.631

Gross, A. L., Xue, Q.-L., Bandeen-Roche, K., Fried, L. P., Varadhan, R., McAdams-DeMarco, M. A., … Carlson, M. C. (2016). Declines and Impairment in Executive Function Predict Onset of Physical Frailty. The Journals of Gerontology Series A: Biological Sciences and Medical Sciences, 71(12), 1624–1630. doi: 10.1093/gerona/glw067

Gross, P. M., Sposito, N. M., Pettersen, S. E., & Fenstermacher, J. D. (1986). Differences in Function and Structure of the Capillary Endothelium in Gray Matter, White Matter and a Circumventricular Organ of Rat Brain. Journal of Vascular Research, 23(6), 261–270. doi: 10.1159/000158652

Grueter, B. E., & Schulz, U. G. (2012). Age-related cerebral white matter disease (leukoaraiosis): A review. Postgraduate Medical Journal, 88(1036), 79–87. doi: 10.1136/postgradmedj-2011-130307
Page | 222

Gu, Y., Beato, J. M., Amarante, E., Chesebro, A. G., Manly, J. J., Schupf, N., … Brickman, A. M. (2020). Assessment of Leisure Time Physical Activity and Brain Health in a Multiethnic Cohort of Older Adults. JAMA Network Open, 3(11), e2026506. doi: 10.1001/jamanetworkopen.2020.26506

Gunning-Dixon, F. M., Brickman, A. M., Cheng, J. C., & Alexopoulos, G. S. (2009). Aging of cerebral white matter: A review of MRI findings. International Journal of Geriatric Psychiatry, 24(2), 109–117. doi: 10.1002/gps.2087

Gunstad, J., Paul, R. H., Cohen, R. A., Tate, D. F., Spitznagel, M. B., Grieve, S., & Gordon, E. (2008). Relationship Between Body Mass Index and Brain Volume in Healthy Adults. International Journal of Neuroscience, 118(11), 1582–1593. doi: 10.1080/00207450701392282

Gur, R. C., Gur, R. E., Obrist, W. D., Hungerbuhler, J. P., Younkin, D., Rosen, A. D., … Reivich, M. (1982). Sex and Handedness Differences in Cerebral Blood Flow during Rest and Cognitive Activity. Science, 217(4560), 659–661.

Gustafson, D. R., Steen, B., & Skoog, I. (2004). Body mass index and white matter lesions in elderly women. An 18-year longitudinal study. International Psychogeriatrics, 16(3), 327–336. doi: 10.1017/s1041610204000353

Haas, J., Brigitte, S.-H., Biessmann, A., & Wildemann, B. (2002). Inducible nitric oxide synthase and argininosuccinate synthetase: Co-induction in brain tissue of patients with Alzheimer’s dementia and following stimulation with beta-amyloid 1-42 in vitro. Neurosci. Lett., 322(2), 121–125.

Halani, S., Kwinta, J. B., Golestani, A. M., Khatamian, Y. B., & Chen, J. (2015). Comparing cerebrovascular reactivity measured using BOLD and cerebral blood flow MRI: The effect of basal vascular tension on vasodilatory and vasoconstrictive reactivity. Neuroimage, 110, 110–123. doi: 10.1016/j.neuroimage.2015.01.050

Halloway, S., Arfanakis, K., Wilbur, J., Schoeny, M. E., & Pressler, S. J. (2019). Accelerometer Physical Activity is Associated with Greater Gray Matter Volumes in Older Adults Without Dementia or Mild Cognitive Impairment. The Journals of Gerontology. Series B, Psychological Sciences and Social Sciences, 74(7), 1142–1151. doi: 10.1093/geronb/gby010

Halloway, S., Wilbur, J., Schoeny, M. E., & Arfanakis, K. (2017). Effects of Endurance-Focused Physical Activity Interventions on Brain Health: A Systematic Review. Biological Research For Nursing, 19(1), 53–64. doi: 10.1177/1099800416660758

Haltia, L. T., Viljanen, A., Parkkola, R., Kemppainen, N., Rinne, J. O., Nuutila, P., & Kaasinen, V. (2007). Brain White Matter Expansion in Human Obesity and the Recovering Effect of Dieting. The Journal of Clinical Endocrinology & Metabolism, 92(8), 3278–3284. doi: 10.1210/jc.2006-2495

Hamer, M., Sharma, N., & Batty, G. D. (2018). Association of objectively measured physical activity with brain structure: UK Biobank study. Journal of Internal Medicine, 284(4), 439–443. doi: 10.1111/joim.12772

Hamer, Mark, Sabia, S., Batty, G. D., Shipley, M. J., Tabák, A. G., Singh-Manoux, A., & Kivimaki, M. (2012). Physical activity and inflammatory markers over 10 years follow up in men and women from the Whitehall II cohort study. Circulation, 126(8), 928–933. doi: 10.1161/CIRCULATIONAHA.112.103879

Hampstead, B. M., Sathian, K., Phillips, P. A., Amaraneni, A., Delaune, W. R., & Stringer, A. Y. (2012). Mnemonic strategy training improves memory for object location associations in both healthy elderly and patients with amnestic mild cognitive impairment: A randomized, single-blind study. Neuropsychology, 26(3), 385–399. doi: 10.1037/a0027545

Hampstead, B. M., Stringer, A. Y., Stilla, R. F., & Sathian, K. (2020). Mnemonic strategy training increases neocortical activation in healthy older adults and patients with mild cognitive impairment. International Journal of Psychophysiology: Official Journal of the International Organization of Psychophysiology, 154, 27–36. doi: 10.1016/j.ijpsycho.2019.04.011

Han, H., Lin, Z., Soldan, A., Pettigrew, C., Betz, J. F., Oishi, K., … Lu, H. (n.d.). Longitudinal Changes in Global Cerebral Blood Flow in Cognitively Normal Older Adults: A Phase-Contrast MRI Study. Journal of Magnetic Resonance Imaging, n/a(n/a). doi: 10.1002/jmri.28133

Han, L. K., Verhoeven, J. E., Tyrka, A. R., Penninx, B. W. J. H., Wolkowitz, O. M., Månsson, K. N. T., … Picard, M. (2019). Accelerating research on biological aging and mental health: Current challenges and future directions. Psychoneuroendocrinology, 106, 293–311. doi: 10.1016/j.psyneuen.2019.04.004

Han, Y.-P., Tang, X., Han, M., Yang, J., Cardoso, M. A., Zhou, J., & Simó, R. (2021). Relationship between obesity and structural brain abnormality: Accumulated evidence from observational studies. Ageing Research Reviews, 71, 101445. doi: 10.1016/j.arr.2021.101445

Harms, M. P., Somerville, L. H., Ances, B. M., Andersson, J., Barch, D. M., Bastiani, M., … Yacoub, E. (2018). Extending the Human Connectome Project across ages: Imaging protocols for the Lifespan Development and Aging projects. NeuroImage, 183, 972–984. doi: 10.1016/j.neuroimage.2018.09.060

Hartkamp, N. S., Hendrikse, J., van der Worp, H. B., de Borst, G. J., & Bokkers, R. P. H. (2012). Time course of vascular reactivity using repeated phase-contrast MR angiography in patients with carotid artery stenosis. Stroke, 43(2), 553–556. doi: 10.1161/STROKEAHA.111.637314

Hayden, K. M., Zandi, P. P., Lyketsos, C. G., Khachaturian, A. S., Bastian, L. A., Charoonruk, G., … Cache County Investigators. (2006). Vascular risk factors for incident Alzheimer disease and vascular dementia: The Cache County study. Alzheimer Disease and Associated Disorders, 20(2), 93–100. doi: 10.1097/01.wad.0000213814.43047.86

Hébert, R. (1997). Functional decline in old age. CMAJ: Canadian Medical Association Journal, 157(8), 1037–1045.
Heckman, G. A., & McKelvie, R. S. (2008). Cardiovascular aging and exercise in healthy older adults. 18(6), 479–485.

Heinzel, S., Lorenz, R. C., Brockhaus, W.-R., Wustenberg, T., Kathmann, N., Heinz, A., & Rapp, M. A. (2014). Working Memory Load-Dependent Brain Response Predicts Behavioral Training Gains in Older Adults. Journal of Neuroscience, 34(4), 1224–1233. doi: 10.1523/JNEUROSCI.2463-13.2014

Heinzel, S., Rimpel, J., Stelzel, C., & Rapp, M. A. (2017). Transfer Effects to a Multimodal Dual-Task after Working Memory Training and Associated Neural Correlates in Older Adults – A Pilot Study. Frontiers in Human Neuroscience, 11. doi: 10.3389/fnhum.2017.00085

Herment, A., Kachenoura, N., Lefort, M., Bensalah, M., Dogui, A., Frouin, F., … De Cesare, A. (2010). Automated segmentation of the aorta from phase contrast MR images: Validation against expert tracing in healthy volunteers and in patients with a dilated aorta. J Magn Reson Imaging, 31(4), 881–888. doi: 10.1002/jmri.22124

Herold, F., Törpel, A., Schega, L., & Müller, N. G. (2019). Functional and/or structural brain changes in response to resistance exercises and resistance training lead to cognitive improvements – a systematic review. European Review of Aging and Physical Activity, 16(1), 10. doi: 10.1186/s11556-019-0217-2

Hersi, M., Irvine, B., Gupta, P., Gomes, J., Birkett, N., & Krewski, D. (2017). Risk factors associated with the onset and progression of Alzheimer’s disease: A systematic review of the evidence. Neurotoxicology, 61, 143–187. doi: 10.1016/j.neuro.2017.03.006

Higgins, J. P., & Green, S. (2008). Guide to the Contents of a Cochrane Protocol and Review. In Cochrane Handbook for Systematic Reviews of Interventions (pp. 51–79). John Wiley & Sons, Ltd. doi: 10.1002/9780470712184.ch4

Hirsiger, S., Koppelmans, V., Mérillat, S., Erdin, C., Narkhede, A., Brickman, A. M., & Jäncke, L. (2017). Executive Functions in Healthy Older Adults Are Differentially Related to Macro- and Microstructural White Matter Characteristics of the Cerebral Lobes. Frontiers in Aging Neuroscience, 9. Retrieved from https://www.frontiersin.org/article/10.3389/fnagi.2017.00373

Ho, A. J., Raji, C. A., Becker, J. T., Lopez, O. L., Kuller, L. H., Hua, X., … Thompson, P. M. (2011). The effects of physical activity, education, and body mass index on the aging brain. Human Brain Mapping, 32(9), 1371–1382. doi: 10.1002/hbm.21113

Hoge, R. D., Atkinson, J., Gill, B., Crelier, G. R., Marrett, S., & Pike, G. B. (1999). Linear coupling between cerebral blood flow and oxygen consumption in activated human cortex. Proceedings of the National Academy of Sciences, 96(16), 9403–9408. doi: 10.1073/pnas.96.16.9403

Hollenberg, M., Ngo, L. H., Turner, D., & Tager, I. B. (1998). Treadmill exercise testing in an epidemiologic study of elderly subjects. The Journals of Gerontology. Series A, Biological Sciences and Medical Sciences, 53(4), B259-267.

Horstmann, A., Busse, F. P., Mathar, D., Müller, K., Lepsien, J., Schlögl, H., … Pleger, B. (2011). Obesity-Related Differences between Women and Men in Brain Structure and Goal-Directed Behavior. Frontiers in Human Neuroscience, 5, 58. doi: 10.3389/fnhum.2011.00058

Howley, E. T., Bassett, D. R., & Welch, H. G. (1995). Criteria for maximal oxygen uptake: Review and commentary. Medicine and Science in Sports and Exercise, 27(9), 1292–1301.

Hruby, A., & Hu, F. B. (2015). The Epidemiology of Obesity: A Big Picture. PharmacoEconomics, 33(7), 673–689. doi: 10.1007/s40273-014-0243-x

Hsu, J.-L., Van Hecke, W., Bai, C.-H., Lee, C.-H., Tsai, Y.-F., Chiu, H.-C., … Leemans, A. (2010). Microstructural white matter changes in normal aging: A diffusion tensor imaging study with higher-order polynomial regression models. NeuroImage, 49(1), 32–43. doi: 10.1016/j.neuroimage.2009.08.031

Huang, Y., Li, X., Jackson, T., Chen, S., Meng, J., Qiu, J., & Chen, H. (2019). Interaction Effect of Sex and Body Mass Index on Gray Matter Volume. Frontiers in Human Neuroscience, 13, 360. doi: 10.3389/fnhum.2019.00360

Huggett, D. L., Connelly, D. M., & Overend, T. J. (2005). Maximal Aerobic Capacity Testing of Older Adults: A Critical Review. The Journals of Gerontology: Series A, 60(1), 57–66. doi: 10.1093/gerona/60.1.57

Iadecola, C. (2017). The Neurovascular Unit Coming of Age: A Journey through Neurovascular Coupling in Health and Disease. Neuron, 96(1), 17–42. doi: 10.1016/j.neuron.2017.07.030

Inoue, Y., Tanaka, Y., Hata, H., & Hara, T. (2014a). Arterial spin-labeling evaluation of cerebrovascular reactivity to acetazolamide in healthy subjects. AJNR. American Journal of Neuroradiology, 35(6), 1111–1116. doi: 10.3174/ajnr.A3815

Intzandt, B., Sabra, D., Foster, C., Desjardins-Crépeau, L., Hoge, R. D., Steele, C. J., … Gauthier, C. J. (2020). Higher cardiovascular fitness level is associated with lower cerebrovascular reactivity and perfusion in healthy older adults. Journal of Cerebral Blood Flow & Metabolism, 40(7), 1468–1481. doi: 10.1177/0271678X19862873

Intzandt, B., Vrinceanu, T., Huck, J., Vincent, T., Montero-Odasso, M., Gauthier, C. J., & Bherer, L. (2021). Comparing the effect of cognitive vs. exercise training on brain MRI outcomes in healthy older adults: A systematic review. Neuroscience & Biobehavioral Reviews, 128, 511–533. doi: 10.1016/j.neubiorev.2021.07.003

Irimia, A. (2021). Cross-Sectional Volumes and Trajectories of the Human Brain, Gray Matter, White Matter and Cerebrospinal Fluid in 9473 Typically Aging Adults. Neuroinformatics, 19(2), 347–366. doi: 10.1007/s12021-020-09480-w

Isacco, L., Ennequin, G., & Boisseau, N. (2021). Influence of the different hormonal status changes during their life on fat mass localisation in women: A narrative review. Archives of Physiology and Biochemistry, 0(0), 1–6. doi: 10.1080/13813455.2021.1933045

Izquierdo, A. G., Crujeiras, A. B., Casanueva, F. F., & Carreira, M. C. (2019). Leptin, Obesity, and Leptin Resistance: Where Are We
25 Years Later? Nutrients, 11(11), 2704. doi: 10.3390/nu11112704

Jefferson, A., Cambronero, F., Liu, D., Moore, E., Neal, J., Terry, J., … Carr, J. (2018). Higher Aortic Stiffness Is Related to Lower Cerebral Blood Flow and Preserved Cerebrovascular Reactivity in Older Adults. Circulation.

Jenkinson, M., Beckmann, C. F., Behrens, T. E. J., Woolrich, M. W., & Smith, S. M. (2012). FSL. NeuroImage, 62(2), 782–790. doi: 10.1016/j.neuroimage.2011.09.015

Jernigan, T. L., Archibald, S. L., Berhow, M. T., Sowell, E. R., Foster, D. S., & Hesselink, J. R. (1991). Cerebral structure on MRI, Part I: Localization of age-related changes. Biological Psychiatry, 29(1), 55–67. doi: 10.1016/0006-3223(91)90210-D

Ji, H., Kwan, A. C., Chen, M. T., Ouyang, D., Ebinger, J. E., Bell, S. P., … Cheng, S. (2022). Sex Differences in Myocardial and Vascular Aging. Circulation Research, 130(4), 566–577. doi: 10.1161/CIRCRESAHA.121.319902

Ji, L., Zhang, H., Potter, G. G., Zang, Y.-F., Steffens, D. C., Guo, H., & Wang, L. (2017). Multiple Neuroimaging Measures for Examining Exercise-induced Neuroplasticity in Older Adults: A Quasi-experimental Study. Frontiers in Aging Neuroscience, 9, 102. doi: 10.3389/fnagi.2017.00102

Johnson, J. K., Lui, L.-Y., & Yaffe, K. (2007). Executive Function, More Than Global Cognition, Predicts Functional Decline and Mortality in Elderly Women. The Journals of Gerontology. Series A, Biological Sciences and Medical Sciences, 62(10), 1134–1141.

Johnson, N. F., Bahrani, A. A., Powell, D. K., Jicha, G. A., & Gold, B. T. (2020). Cardiorespiratory fitness diminishes the effects of age on white matter hyperintensity volume. PloS One, 15(8), e0236986. doi: 10.1371/journal.pone.0236986

Juttukonda, M. R., Li, B., Almaktoum, R., Stephens, K. A., Yochim, K. M., Yacoub, E., … Salat, D. H. (2021). Characterizing cerebral hemodynamics across the adult lifespan with arterial spin labeling MRI data from the Human Connectome Project-Aging. NeuroImage, 230, 117807. doi: 10.1016/j.neuroimage.2021.117807

Kaminsky, L. A., Imboden, M. T., Arena, R., & Myers, J. (2017). Reference Standards for Cardiorespiratory Fitness Measured With Cardiopulmonary Exercise Testing Using Cycle Ergometry: Data From the Fitness Registry and the Importance of Exercise National Database (FRIEND) Registry. Mayo Clinic Proceedings, 92(2), 228–233. doi: 10.1016/j.mayocp.2016.10.003

Kaplan, M. S., Newsom, J. T., McFarland, B. H., & Lu, L. (2001). Demographic and psychosocial correlates of physical activity in late life. American Journal of Preventive Medicine, 21(4), 306–312. doi: 10.1016/s0749-3797(01)00364-6

Karastergiou, K., Smith, S. R., Greenberg, A. S., & Fried, S. K. (2012). Sex differences in human adipose tissues—The biology of pear shape. Biology of Sex Differences, 3(1), 13. doi: 10.1186/2042-6410-3-13

Katayama, K., Sato, Y., Morotome, Y., Shima, N., Ishida, K., Mori, S., & Miyamura, M. (1999). Ventilatory chemosensitive adaptations to intermittent hypoxic exposure with endurance training and detraining. J. Appl. Physiol., 86(6), 1805–1811. doi: 10.1152/jappl.1999.86.6.1805

Kemper, T. L. (1994). Neuroanatomical and neuropathological changes during aging and dementia. In Clinical neurology of aging, 2nd ed (pp. 3–67). New York, NY, US: Oxford University Press.

Képes, Z., Nagy, F., Budai, Á., Barna, S., Esze, R., Somodi, S., … Varga, J. (2021). Age, BMI and diabetes as independent predictors of brain hypoperfusion. Nuclear Medicine Review. Central & Eastern Europe, 24(1), 11–15. doi: 10.5603/NMR.2021.0002

Kertesz, A., Black, S. E., Tokar, G., Benke, T., Carr, T., & Nicholson, L. (1988). Periventricular and subcortical hyperintensities on magnetic resonance imaging. “Rims, caps, and unidentified bright objects.” Archives of Neurology, 45(4), 404–408. doi: 10.1001/archneur.1988.00520280050015

Kety, S. S. (1956). Human cerebral blood flow and oxygen consumption as related to aging. Journal of Chronic Diseases, 3(5), 478–486. doi: 10.1016/0021-9681(56)90146-1

Killgore, W. D. S., Olson, E. A., & Weber, M. (2013). Physical Exercise Habits Correlate with Gray Matter Volume of the Hippocampus in Healthy Adult Humans. Scientific Reports, 3(1), 3457. doi: 10.1038/srep03457

Kim, D., Hughes, T. M., Lipford, M. E., Craft, S., Baker, L. D., Lockhart, S. N., … Jung, Y. (2021). Relationship Between Cerebrovascular Reactivity and Cognition Among People With Risk of Cognitive Decline. Frontiers in Physiology, 12, 645342. doi: 10.3389/fphys.2021.645342

Kim, H., Chey, J., & Lee, S. (2017). Effects of multicomponent training of cognitive control on cognitive function and brain activation in older adults. Neuroscience Research, 124, 8–15. doi: 10.1016/j.neures.2017.05.004

Kim, S. E., Lee, J. S., Woo, S., Kim, S., Kim, H. J., Park, S., … Seo, S. W. (2019). Sex-specific relationship of cardiometabolic syndrome with lower cortical thickness. Neurology, 93(11), e1045–e1057. doi: 10.1212/WNL.0000000000008084

Kivimäki, M., Luukkonen, R., Batty, G. D., Ferrie, J. E., Pentti, J., Nyberg, S. T., … Jokela, M. (2018). Body mass index and risk of dementia: Analysis of individual-level data from 1.3 million individuals. Alzheimer’s & Dementia, 14(5), 601–609. doi: 10.1016/j.jalz.2017.09.016

Kleemeyer, M., Kühn, S., Prindle, J., Bodammer, N. C., Brechtel, L., Garthe, A., … Lindenberger, U. (2016). Changes in fitness are associated with changes in hippocampal microstructure and hippocampal volume among older adults. NeuroImage, 131, 155–161. doi: 10.1016/j.neuroimage.2015.11.026

Kleemeyer, M., Polk, T. A., Schaefer, S., Bodammer, N. C., Brechtel, L., & Lindenberger, U. (2017). Exercise-Induced Fitness Changes Correlate with Changes in Neural Specificity in Older Adults. Frontiers in Human Neuroscience, 11. doi: 10.3389/fnhum.2017.00123

Klein, S. L., & Flanagan, K. L. (2016). Sex differences in immune responses. Nature Reviews Immunology, 16(10), 626–638. doi: 10.1038/nri.2016.90

Knaepen, K., Goekint, M., Heyman, E. M., & Meeusen, R. (2010). Neuroplasticity—Exercise-induced response of peripheral brain-derived neurotrophic factor: A systematic review of experimental studies in human subjects. Sports Med, 40(9), 765–801. doi: 10.2165/11534530-000000000-00000

Knell, G., Robertson, M. C., Dooley, E. E., Burford, K., & Mendez, K. S. (2020). Health Behavior Changes During COVID-19 Pandemic and Subsequent “Stay-at-Home” Orders. International Journal of Environmental Research and Public Health, 17(17), 6268. doi: 10.3390/ijerph17176268

Knight, S. P., Laird, E., Williamson, W., O’Connor, J., Newman, L., Carey, D., … Kenny, R. A. (2021). Obesity is associated with reduced cerebral blood flow – modified by physical activity. Neurobiology of Aging, 105, 35–47. doi: 10.1016/j.neurobiolaging.2021.04.008

Koenen, M., Hill, M. A., Cohen, P., & Sowers, J. R. (2021). Obesity, Adipose Tissue and Vascular Dysfunction. Circulation Research, 128(7), 951–968. doi: 10.1161/CIRCRESAHA.121.318093

Kraft, E. (2012). Cognitive function, physical activity, and aging: Possible biological links and implications for multimodal interventions. Neuropsychol Dev Cogn B Aging Neuropsychol Cogn, 19(1–2), 248–263. doi: 10.1080/13825585.2011.645010

Krainik, A., Hund-Georgiadis, M., Zysset, S., & von Cramon, D. Y. (2005). Regional impairment of cerebrovascular reactivity and BOLD signal in adults after stroke. Stroke, 36(6), 1146–1152. doi: 10.1161/01.STR.0000166178.40973.a7

Kramer, A. F., Hahn, S., Cohen, N. J., Banich, M. T., McAuley, E., Harrison, C. R., … Colcombe, A. (1999). Ageing, fitness and neurocognitive function. Nature, 400(6743), 418–419. doi: 10.1038/22682

Kramer, J. H., Mungas, D., Reed, B. R., Wetzel, M. E., Burnett, M. M., Miller, B. L., … Chui, H. C. (2007). Longitudinal MRI and Cognitive Change in Healthy Elderly. Neuropsychology, 21(4), 412–418. doi: 10.1037/0894-4105.21.4.412

Krause, D. N., Duckles, S. P., & Pelligrino, D. A. (2006). Influence of sex steroid hormones on cerebrovascular function. Journal of Applied Physiology, 101(4), 1252–1261. doi: 10.1152/japplphysiol.01095.2005

Kubíková, T., Kochová, P., Tomášek, P., Witter, K., & Tonar, Z. (2018). Numerical and length densities of microvessels in the human brain: Correlation with preferential orientation of microvessels in the cerebral cortex, subcortical grey matter and white matter, pons and cerebellum. Journal of Chemical Neuroanatomy, 88, 22–32. doi: 10.1016/j.jchemneu.2017.11.005

Kurlowicz, L., & Wallace, M. (1999). The Mini-Mental State Examination (MMSE). J Gerontol Nurs, 25(5), 8–9.

Lampe, L., Zhang, R., Beyer, F., Huhn, S., Kharabian Masouleh, S., Preusser, S., … Witte, A. V. (2019). Visceral obesity relates to deep white matter hyperintensities via inflammation. Annals of Neurology, 85(2), 194–203. doi: 10.1002/ana.25396

Larissa, M., Sobczyk, O., Duffin, J., Poublanc, J., Sam, K., Crawley, A. P., … Mikulis, D. J. (2018). The aging brain and cerebrovascular reactivity. Neuroimage. doi: 10.1016/j.neuroimage.2018.07.007

Lauer, E. E., Jackson, A. W., Martin, S. B., & Morrow, J. R. (2017). Meeting USDHHS Physical Activity Guidelines and Health Outcomes. International Journal of Exercise Science, 10(1), 121–127.

Laurin, D., Verreault, R., Lindsay, J., MacPherson, K., & Rockwood, K. (2001). Physical activity and risk of cognitive impairment and dementia in elderly persons. Archives of Neurology, 58(3), 498–504. doi: 10.1001/archneur.58.3.498

Lee, C., Lopez, O. L., Becker, J. T., Raji, C., Dai, W., Kuller, L. H., & Gach, H. M. (2009). Imaging Cerebral Blood Flow in the Cognitively Normal Aging Brain with Arterial Spin Labeling: Implications for Imaging of Neurodegenerative Disease. Journal of Neuroimaging, 19(4), 344–352. doi: 10.1111/j.1552-6569.2008.00277.x

Leenders, K. L., Perani, D., Lammertsma, A. A., Heather, J. D., Buckingham, P., Jones, T., … Frackowiak, R. S. J. (1990). CEREBRAL BLOOD FLOW, BLOOD VOLUME AND OXYGEN UTILIZATION: NORMAL VALUES AND EFFECT OF AGE. Brain, 113(1), 27–47. doi: 10.1093/brain/113.1.27

Lemaitre, H., Goldman, A. L., Sambataro, F., Verchinski, B. A., Meyer-Lindenberg, A., Weinberger, D. R., & Mattay, V. S. (2012). Normal age-related brain morphometric changes: Nonuniformity across cortical thickness, surface area and gray matter volume? Neurobiology of Aging, 33(3), 617.e1-617.e9. doi: 10.1016/j.neurobiolaging.2010.07.013

Leong, R. L. F., Lo, J. C., Sim, S. K. Y., Zheng, H., Tandi, J., Zhou, J., & Chee, M. W. L. (2017). Longitudinal brain structure and cognitive changes over 8 years in an East Asian cohort. NeuroImage, 147, 852–860. doi: 10.1016/j.neuroimage.2016.10.016

Leoni, R. F., Oliveira, I. A. F., Pontes-Neto, O., Santos, A. C., & Leite, J. P. (2017). Cerebral blood flow and vasoreactivity in aging: An arterial spin labeling study. Braz J Med Biol Res, 50(4). doi: 10.1590/1414-431x20175670

Letieri, R. V., & Furtado, G. E. (2020). Physical exercise during coronavirus disease (COVID-19): Recommendations to remaining active in periods of confinement. Anais Da Academia Brasileira De Ciencias, 92(4), e20200691. doi: 10.1590/0001-3765202020200691

Levy, R., & Aging-Associated Cognitive Decline Working Party: (1994). Aging-Associated Cognitive Decline. International Psychogeriatrics, 6(1), 63–68. doi: 10.1017/S1041610294001626

Lindenberger, U. (2014). Human cognitive aging: Corriger la fortune? Science (New York, N.Y.), 346(6209), 572–578. doi: 10.1126/science.1254403

Lipecz, A., Csipo, T., Tarantini, S., Hand, R. A., Ngo, B.-T. N., Conley, S., … Yabluchanskiy, A. (2019). Age-related impairment of neurovascular coupling responses: A dynamic vessel analysis (DVA)-based approach to measure decreased flicker light stimulus-induced retinal arteriolar dilation in healthy older adults. GeroScience, 41(3), 341–349. doi: 10.1007/s11357-019-00078-y

Lista, I., & Sorrentino, G. (2010). Biological Mechanisms of Physical Activity in Preventing Cognitive Decline. Cellular and Molecular Neurobiology, 30(4), 493–503. doi: 10.1007/s10571-009-9488-x

Liu, H., & Zhang, J. (2012). Cerebral Hypoperfusion and Cognitive Impairment: The Pathogenic Role of Vascular Oxidative Stress. The International Journal of Neuroscience, 122, 494–499. doi: 10.3109/00207454.2012.686543

Liu, P., De Vis, J. B., & Lu, H. (2018). Cerebrovascular reactivity (CVR) MRI with CO2 challenge: A technical review. NeuroImage. doi: 10.1016/j.neuroimage.2018.03.047

Liu, T. T., & Brown, G. G. (2007). Measurement of cerebral perfusion with arterial spin labeling: Part 1. Methods. Journal of the International Neuropsychological Society: JINS, 13(3), 517–525. doi: 10.1017/S1355617707070646

Liu, T., & Wong, E. (2005). A signal processing model for arterial spin labeling functional MRI. Neuroimage, 24(1), 207–215.

Liu, W., Lou, X., & Ma, L. (2016). Use of 3D pseudo-continuous arterial spin labeling to characterize sex and age differences in cerebral blood flow. Neuroradiology, 58(9), 943–948. doi: 10.1007/s00234-016-1713-y

Liu, Y., Zhu, X., Feinberg, D., Guenther, M., Gregori, J., Weiner, M. W., & Schuff, N. (2012). Arterial spin labeling MRI study of age and gender effects on brain perfusion hemodynamics. Magnetic Resonance in Medicine, 68(3), 912–922. doi: 10.1002/mrm.23286

Livingston, G., Huntley, J., Sommerlad, A., Ames, D., Ballard, C., Banerjee, S., … Mukadam, N. (2020a). Dementia prevention, intervention, and care: 2020 report of the Lancet Commission. The Lancet, 396(10248), 413–446. doi: 10.1016/S0140-6736(20)30367-6

Livingston, G., Sommerlad, A., Orgeta, V., Costafreda, S. G., Huntley, J., Ames, D., … Mukadam, N. (2017). Dementia prevention, intervention, and care. The Lancet, 390(10113), 2673–2734. doi: 10.1016/S0140-6736(17)31363-6
Lockhart, S. N., & DeCarli, C. (2014). Structural Imaging Measures of Brain Aging. Neuropsychology Review, 24(3), 271–289. doi: 10.1007/s11065-014-9268-3

Lönnqvist, F., Thörne, A., Large, V., & Arner, P. (1997). Sex Differences in Visceral Fat Lipolysis and Metabolic Complications of Obesity. Arteriosclerosis, Thrombosis, and Vascular Biology, 17(7), 1472–1480. doi: 10.1161/01.ATV.17.7.1472

Lotze, M., Domin, M., Gerlach, F. H., Gaser, C., Lueders, E., Schmidt, C. O., & Neumann, N. (2019). Novel findings from 2,838 Adult Brains on Sex Differences in Gray Matter Brain Volume. Scientific Reports, 9(1), 1671. doi: 10.1038/s41598-018-38239-2

Lövdén, M., Bodammer, N. C., Kühn, S., Kaufmann, J., Schütze, H., Tempelmann, C., … Lindenberger, U. (2010). Experience-dependent plasticity of white-matter microstructure extends into old age. Neuropsychologia, 48(13), 3878–3883. doi: 10.1016/j.neuropsychologia.2010.08.026

Lovejoy, J. C., Sainsbury, A., & Group, the S. C. 2008 W. (2009). Sex differences in obesity and the regulation of energy homeostasis. Obesity Reviews, 10(2), 154–167. doi: 10.1111/j.1467-789X.2008.00529.x

Lu, H., Xu, F., Rodrigue, K. M., Kennedy, K. M., Cheng, Y., Flicker, B., … Park, D. C. (2011). Alterations in cerebral metabolic rate and blood supply across the adult lifespan. Cereb. Cortex, 21(6), 1426–1434. doi: 10.1093/cercor/bhq224

Maass, A, Düzel, S., Goerke, M., Becke, A., Sobieray, U., Neumann, K., … Düzel, E. (2015). Vascular hippocampal plasticity after aerobic exercise in older adults. Molecular Psychiatry, 20(5), 585–593. doi: 10.1038/mp.2014.114

Maass, Anne, Düzel, S., Brigadski, T., Goerke, M., Becke, A., Sobieray, U., … Düzel, E. (2016). Relationships of peripheral IGF-1, VEGF and BDNF levels to exercise-related changes in memory, hippocampal perfusion and volumes in older adults. NeuroImage, 131, 142–154. doi: 10.1016/j.neuroimage.2015.10.084

MacIntosh, B.J., Swardfager, W., Robertson, A. D., Tchistiakova, E., Saleem, M., Oh, P. I., … Lanctôt, K. L. (2015). Regional Cerebral Arterial Transit Time Hemodynamics Correlate with Vascular Risk Factors and Cognitive Function in Men with Coronary Artery Disease. American Journal of Neuroradiology, 36(2), 295–301. doi: 10.3174/ajnr.A4094

MacIntosh, Bradley J., Shirzadi, Z., Atwi, S., Detre, J. A., Dolui, S., Bryan, R. N., … Swardfager, W. (2020). Metabolic and vascular risk factors are associated with reduced cerebral blood flow and poorer midlife memory performance. Human Brain Mapping, 41(4), 855–864. doi: 10.1002/hbm.24844

MacLusky, N. J., & Naftolin, F. (1981). Sexual differentiation of the central nervous system. Science (New York, N.Y.), 211(4488), 1294–1302. doi: 10.1126/science.6163211

Madden, D. J., Whiting, W. L., Huettel, S. A., White, L. E., MacFall, J. R., & Provenzale, J. M. (2004). Diffusion tensor imaging of adult age differences in cerebral white matter: Relation to response time. NeuroImage, 21(3), 1174–1181. doi: 10.1016/j.neuroimage.2003.11.004

Maillet, D., & Rajah, N. M. (2013). Association between prefrontal activity and volume change in prefrontal and medial temporal lobes in aging and dementia: A review. Ageing Res Rev, 12(2), 479–489. doi: 10.1016/j.arr.2012.11.001

Makizako, H., Liu-Ambrose, T., Shimada, H., Doi, T., Park, H., Tsutsumimoto, K., … Suzuki, T. (2015). Moderate-intensity physical activity, hippocampal volume, and memory in older adults with mild cognitive impairment. The Journals of Gerontology. Series A, Biological Sciences and Medical Sciences, 70(4), 480–486. doi: 10.1093/gerona/glu136

Malenfant, S., Brassard, P., Paquette, M., Le Blanc, O., Chouinard, A., Nadeau, V., … Provencher, S. (2017). Compromised Cerebrovascular Regulation and Cerebral Oxygenation in Pulmonary Arterial Hypertension. Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, 6(10). doi: 10.1161/JAHA.117.006126

Mandell, D., Han, J., Poublanc, J., and Stainsby, J., Fisher, J., & Mikulis, D. (2008). Mapping cerebrovascular reactivity using blood oxygen level-dependent MRI in patients with arterial steno-occlusive disease: Comparison with arterial spin labeling. Stroke, 39(7), 2021–2028.

Mandell, D. M., Han, J. S., Poublanc, J., Crawley, A. P., Stainsby, J. A., Fisher, J. A., & Mikulis, D. J. (2008). Mapping cerebrovascular reactivity using blood oxygen level-dependent MRI in Patients with arterial steno-occlusive disease: Comparison with arterial spin labeling MRI. Stroke, 39(7), 2021–2028. doi: 10.1161/STROKEAHA.107.506709

Mantzoros, C. S. (1999). The role of leptin in human obesity and disease: A review of current evidence. Annals of Internal Medicine, 130(8), 671–680. doi: 10.7326/0003-4819-130-8-199904200-00014

Martin, A. J., Friston, K. J., Colebatch, J. G., & Frackowiak, R. S. J. (1991). Decreases in Regional Cerebral Blood Flow with Normal Aging. Journal of Cerebral Blood Flow & Metabolism, 11(4), 684–689. doi: 10.1038/jcbfm.1991.121

Masouleh, S. K., Arélin, K., Horstmann, A., Lampe, L., Kipping, J. A., Luck, T., … Witte, A. V. (2016). Higher body mass index in older adults is associated with lower gray matter volume: Implications for memory performance. Neurobiology of Aging, 40, 1–10. doi: 10.1016/j.neurobiolaging.2015.12.020

McConnell, A., & Semple, E. (1996). Ventilatory sensitivity to carbon dioxide: The influence of exercise and athleticism. Med Sci Sports Exerc, 28(6), 685–691.

McEwen, S. C., Hardy, A., Ellingson, B. M., Jarrahi, B., Sandhu, N., Subotnik, K. L., … Nuechterlein, K. H. (2015). Prefrontal and Hippocampal Brain Volume Deficits: Role of Low Physical Activity on Brain Plasticity in First-Episode Schizophrenia Patients. Journal of the International Neuropsychological Society, 21(10), 868–879. doi: 10.1017/S1355617715000983

McGregor, K. M., Crosson, B., Krishnamurthy, L. C., Krishnamurthy, V., Hortman, K., Gopinath, K., … Nocera, J. R. (2018). Effects of a 12-Week Aerobic Spin Intervention on Resting State Networks in Previously Sedentary Older Adults. Frontiers in Psychology, 9, 2376. doi: 10.3389/fpsyg.2018.02376

McPhee, J. S., French, D. P., Jackson, D., Nazroo, J., Pendleton, N., & Degens, H. (2016). Physical activity in older age: Perspectives for healthy ageing and frailty. Biogerontology, 17, 567–580. doi: 10.1007/s10522-016-9641-0

Meier-Ruge, W., Ulrich, J., Brühlmann, M., & Meier, E. (1992). Age-related white matter atrophy in the human brain. Annals of the New York Academy of Sciences, 673, 260–269. doi: 10.1111/j.1749-6632.1992.tb27462.x

Melazzini, L., Vitali, P., Olivieri, E., Bolchini, M., Zanardo, M., Savoldi, F., … Codari, M. (2021). White Matter Hyperintensities Quantification in Healthy Adults: A Systematic Review and Meta-Analysis. Journal of Magnetic Resonance Imaging, 53(6), 1732–1743. doi: 10.1002/jmri.27479

Meyer, M., Tanaka, H., Palta, P., Cheng, S., Gouskova, N., Aguilar, D., & Heiss, G. (2015). Correlates of segmental pulse wave velocity in older adults: The Atherosclerosis Risk in Communities (ARIC) Study. American Journal of Hypertension. doi: 10.1093/ajh/hpv079

Mikkel, L.-H., Cotter, J. D., Helge, J. W. W., Boushel, R., Augustesen, H., Van Lieshout, J. J., & Pott, F. C. (2011). Cerebral autoregulation dynamics in endurance-trained individuals. J. Appl. Physiol., 110(5), 1327–1333. doi: 10.1152/japplphysiol.01497.2010

Monahan, K., Tanaka, H., Dinenno, F., & Seals, D. (2001). Central arterial compliance is associated with age- and habitual exercise-related differences in cardiovagal baroreflex sensitivity. Circulation, 104(14), 1627–1632.

Montero-Odasso, M., Almeida, Q. J., Burhan, A. M., Camicioli, R., Doyon, J., Fraser, S., … Bherer, L. (2018). SYNERGIC TRIAL (SYNchronizing Exercises, Remedies in Gait and Cognition) a multi-Centre randomized controlled double blind trial to improve gait and cognition in mild cognitive impairment. BMC Geriatrics, 18. doi: 10.1186/s12877-018-0782-7

Montero-Odasso, M., Ismail, Z., & Livingston, G. (2020). One third of dementia cases can be prevented within the next 25 years by tackling risk factors. The case “for” and “against.” Alzheimer’s Research & Therapy, 12. doi: 10.1186/s13195-020-00646-x

Moon, S. Y., de Souto Barreto, P., Cesari, M., Chupin, M., Mangin, J. F., Bouyahia, A., … Vellas, B. (2018). Physical Activity and Changes in White Matter Hyperintensities over Three Years. The Journal of Nutrition, Health & Aging, 22(3), 425–430. doi: 10.1007/s12603-017-0959-3

Moonen, J. E., Sabayan, B., Sigurdsson, S., van Buchem, M. A., Gudnason, V., Meirelles, O., & Launer, L. J. (2021). Contributions of Cerebral Blood Flow to Associations Between Blood Pressure Levels and Cognition: The Age, Gene/Environment Susceptibility-Reykjavik Study. Hypertension (Dallas, Tex.: 1979), 77(6), 2075–2083. doi: 10.1161/HYPERTENSIONAHA.120.16894

Moreau, K. L., & Hildreth, K. L. (2014). Vascular Aging across the Menopause Transition in Healthy Women. Advances in Vascular Medicine, 2014, 204390. doi: 10.1155/2014/204390

Moreau, K. L., Hildreth, K. L., Meditz, A. L., Deane, K. D., & Kohrt, W. M. (2012). Endothelial Function Is Impaired across the Stages of the Menopause Transition in Healthy Women. The Journal of Clinical Endocrinology and Metabolism, 97(12), 4692–4700. doi: 10.1210/jc.2012-2244

Morris, J. C. (1993). The Clinical Dementia Rating (CDR): Current version and scoring rules. Neurology, 43(11), 2412–2414. doi: 10.1212/wnl.43.11.2412-a

Morrison, J. H., & Hof, P. R. (1997). Life and death of neurons in the aging brain. Science (New York, N.Y.), 278(5337), 412–419. doi: 10.1126/science.278.5337.412

Moscovitch, M., & Winocur, G. (1992a). The Neuropsychology of Memory and Aging. 32.

Motes, M. A., Yezhuvath, U. S., Aslan, S., Spence, J. S., Rypma, B., & Chapman, S. B. (2018). Higher-order cognitive training effects on processing speed–related neural activity: A randomized trial. Neurobiology of Aging, 62, 72–81. doi: 10.1016/j.neurobiolaging.2017.10.003

Müller, P., Rehfeld, K., Schmicker, M., Hökelmann, A., Dordevic, M., Lessmann, V., … Müller, N. G. (2017). Evolution of Neuroplasticity in Response to Physical Activity in Old Age: The Case for Dancing. Frontiers in Aging Neuroscience, 9. doi: 10.3389/fnagi.2017.00056

Murray, M. H., & Blume, J. D. (2021, October 19). FDRestimation: Flexible False Discovery Rate Computation in R. F1000Research. doi: 10.12688/f1000research.52999.2

Naftolin, F., & Ryan, K. J. (1975). The metabolism of androgens in central neuroendocrine tissues. Journal of Steroid Biochemistry, 6(6), 993–997. doi: 10.1016/0022-4731(75)90340-4

Nasreddine, Z. S., Phillips, N. A., Bédirian, V., Charbonneau, S., Whitehead, V., Collin, I., … Chertkow, H. (2005). The Montreal Cognitive Assessment, MoCA: A brief screening tool for mild cognitive impairment. Journal of the American Geriatrics Society, 53(4), 695–699. doi: 10.1111/j.1532-5415.2005.53221.x

Nieman, D. C., & Wentz, L. M. (2019). The compelling link between physical activity and the body’s defense system. Journal of Sport and Health Science, 8(3), 201–217. doi: 10.1016/j.jshs.2018.09.009

Niemann, C., Godde, B., & Voelcker-Rehage, C. (2014). Not only cardiovascular, but also coordinative exercise increases hippocampal volume in older adults. Frontiers in Aging Neuroscience, 6. doi: 10.3389/fnagi.2014.00170

Noack, H., Lövdén, M., & Schmiedek, F. (2014). On the validity and generality of transfer effects in cognitive training research. Psychological Research, 78(6), 773–789. doi: 10.1007/s00426-014-0564-6

Nocera, J., Crosson, B., Mammino, K., & McGregor, K. M. (2017). Changes in Cortical Activation Patterns in Language Areas following an Aerobic Exercise Intervention in Older Adults. Neural Plasticity, 2017, 1–9. doi: 10.1155/2017/6340302

Nystoriak, M. A., & Bhatnagar, A. (2018). Cardiovascular Effects and Benefits of Exercise. Frontiers in Cardiovascular Medicine, 5, 135. doi: 10.3389/fcvm.2018.00135

Ogoh, S., Dalsgaard, M. K., Yoshiga, C. C., Dawson, E. A., Keller, D. M., Raven, P. B., & Secher, N. H. (2005). Dynamic cerebral autoregulation during exhaustive exercise in humans. Am. J. Physiol. Heart Circ. Physiol., 288(3), H1461-7. doi: 10.1152/ajpheart.00948.2004

Ohkura, T., Teshima, Y., Isse, K., Matsuda, H., Inoue, T., Sakai, Y., … Yao, Y. (1995). Estrogen Increases Cerebral and Cerebellar Blood Flows in Postmenopausal Women. Menopause (New York, N.Y.), 2(1), 13–18.

Okamoto, M., Hojo, Y., Inoue, K., Matsui, T., Kawato, S., McEwen, B. S., & Soya, H. (2012). Mild exercise increases dihydrotestosterone in hippocampus providing evidence for androgenic mediation of neurogenesis. Proceedings of the National Academy of Sciences, 109(32), 13100–13105. doi: 10.1073/pnas.1210023109

Olivo, G., Nilsson, J., Garzón, B., Lebedev, A., Wåhlin, A., Tarassova, O., … Lövdén, M. (2021). Higher VO2max is associated with thicker cortex and lower grey matter blood flow in older adults. Scientific Reports, 11(1), 16724. doi: 10.1038/s41598-021-96138-5

Ono, H., Sasaki, Y., Bamba, E., Seki, J., Giddings, J. C., & Yamamoto, J. (2002). Cerebral thrombosis and microcirculation of the rat during the oestrous cycle and after ovariectomy. Clinical and Experimental Pharmacology & Physiology, 29(1–2), 73–78. doi: 10.1046/j.1440-1681.2002.03600.x

Oppenheimer, S. M., Bryan, R. N., Conturo, T. E., Soher, B. J., Preziosi, T. J., & Barker, P. B. (1995). Proton magnetic resonance spectroscopy and gadolinium-DTPA perfusion imaging of asymptomatic MRI white matter lesions. Magnetic Resonance in Medicine, 33(1), 61–68. doi: 10.1002/mrm.1910330109

Ota, M., Obata, T., Akine, Y., Ito, H., Ikehira, H., Asada, T., & Suhara, T. (2006). Age-related degeneration of corpus callosum measured with diffusion tensor imaging. NeuroImage, 31(4), 1445–1452. doi: 10.1016/j.neuroimage.2006.02.008

Pallant, J. (2020). SPSS Survival Manual: A Step by Step Guide to Data Analysis Using IBM SPSS (7th ed.). London: Routledge. doi: 10.4324/9781003117452

Pannacciulli, N., Le, D. S. N. T., Chen, K., Reiman, E. M., & Krakoff, J. (2007). Relationships between plasma leptin concentrations and human brain structure: A voxel-based morphometric study. Neuroscience Letters, 412(3), 248–253. doi: 10.1016/j.neulet.2006.11.019

Pantano, P., Baron, J. C., Lebrun-Grandié, P., Duquesnoy, N., Bousser, M. G., & Comar, D. (1984). Regional cerebral blood flow and oxygen consumption in human aging. Stroke, 15(4), 635–641. doi: 10.1161/01.STR.15.4.635

Pantoni Leonardo, Garcia Julio H., & Gutierrez Jorge A. (1996). Cerebral White Matter Is Highly Vulnerable to Ischemia. Stroke, 27(9), 1641–1647. doi: 10.1161/01.STR.27.9.1641

Papenberg, G., Ferencz, B., Mangialasche, F., Mecocci, P., Cecchetti, R., Kalpouzos, G., … Bäckman, L. (2016). Physical activity and inflammation: Effects on gray-matter volume and cognitive decline in aging. Human Brain Mapping, 37(10), 3462–3473. doi: 10.1002/hbm.23252

Park, D. C., & Reuter-Lorenz, P. (2009). The adaptive brain: Aging and neurocognitive scaffolding. Annual Review of Psychology, 60, 173–196. doi: 10.1146/annurev.psych.59.103006.093656

Parkes, L. M., Rashid, W., Chard, D. T., & Tofts, P. S. (2004a). Normal cerebral perfusion measurements using arterial spin labeling: Reproducibility, stability, and age and gender effects. Magnetic Resonance in Medicine, 51(4), 736–743. doi: 10.1002/mrm.20023

Pate, R. (1988). The Evolving Definition of Physical Fitness. doi: 10.1080/00336297.1988.10483898

Pedditizi, E., Peters, R., & Beckett, N. (2016). The risk of overweight/obesity in mid-life and late life for the development of dementia: A systematic review and meta-analysis of longitudinal studies. Age and Ageing, 45(1), 14–21. doi: 10.1093/ageing/afv151

Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., … Cournapeau, D. (2011). Scikit-learn: Machine Learning in Python. MACHINE LEARNING IN PYTHON, 6.

Pegueroles, J., Jiménez, A., Vilaplana, E., Montal, V., Carmona-Iragui, M., Pané, A., … Fortea, J. (2018). Obesity and Alzheimer’s disease, does the obesity paradox really exist? A magnetic resonance imaging study. Oncotarget, 9(78), 34691–34698. doi: 10.18632/oncotarget.26162

Pelletier, A., Bernard, C., Dilharreguy, B., Helmer, C., Le Goff, M., Chanraud, S., … Catheline, G. (2017). Patterns of brain atrophy associated with episodic memory and semantic fluency decline in aging. Aging, 9(3), 741–752. doi: 10.18632/aging.101186

Pelligrino, D. A., Ye, S., Tan, F., Santizo, R. A., Feinstein, D. L., & Wang, Q. (2000). Nitric-Oxide-Dependent Pial Arteriolar Dilation in the Female Rat: Effects of Chronic Estrogen Depletion and Repletion. Biochemical and Biophysical Research Communications, 269(1), 165–171. doi: 10.1006/bbrc.2000.2206

Peng, S.-L., Chen, X., Li, Y., Rodrigue, K. M., Park, D. C., & Lu, H. (2018a). Age-related changes in cerebrovascular reactivity and their relationship to cognition: A four-year longitudinal study. NeuroImage, 174, 257–262. doi: 10.1016/j.neuroimage.2018.03.033

Penny, W., Friston, K., Ashburner, J., & Kiebel, S. (2011). Statistical parametric mapping: The analysis of functional brain images.

Pentikäinen, H., Ngandu, T., Liu, Y., Savonen, K., Komulainen, P., Hallikainen, M., … Soininen, H. (2017). Cardiorespiratory fitness and brain volumes in men and women in the FINGER study. Age and Ageing, 46(2), 310–313. doi: 10.1093/ageing/afw191

Persson, N., Ghisletta, P., Dahle, C. L., Bender, A. R., Yang, Y., Yuan, P., … Raz, N. (2016). Regional brain shrinkage and change in cognitive performance over two years: The bidirectional influences of the brain and cognitive reserve factors. NeuroImage, 126, 15–26. doi: 10.1016/j.neuroimage.2015.11.028

Petcharunpaisan, S., Ramalho, J., & Castillo, M. (2010). Arterial spin labeling in neuroimaging. World J Radiol, 2(10), 384–398. doi: 10.4329/wjr.v2.i10.384

Pitrou, I., Vasiliadis, H.-M., & Hudon, C. (2022). Body mass index and cognitive decline among community-living older adults: The modifying effect of physical activity. European Review of Aging and Physical Activity, 19, 3. doi: 10.1186/s11556-022-00284-2

Podewils, L. J., Guallar, E., Beauchamp, N., Lyketsos, C. G., Kuller, L. H., & Scheltens, P. (2007). Physical activity and white matter lesion progression: Assessment using MRI. Neurology, 68(15), 1223–1226. doi: 10.1212/01.wnl.0000259063.50219.3e

Power, B. D., Alfonso, H., Flicker, L., Hankey, G. J., Yeap, B. B., & Almeida, O. P. (2013). Changes in body mass in later life and incident dementia. International Psychogeriatrics, 25(3), 467–478. doi: 10.1017/S1041610212001834

Power, M. C., Tingle, J. V., Reid, R. I., Huang, J., Sharrett, A. R., Coresh, J., … Mosley, T. H. (n.d.). Midlife and Late‐Life Vascular Risk Factors and White Matter Microstructural Integrity: The Atherosclerosis Risk in Communities Neurocognitive Study. Journal of the American Heart Association, 6(5), e005608. doi: 10.1161/JAHA.117.005608

Preibisch, C., Sorg, C., Förschler, A., Grimmer, T., Sax, I., Wohlschläger, A. M., … Alexopoulos, P. (2011). Age-related cerebral perfusion changes in the parietal and temporal lobes measured by pulsed arterial spin labeling. Journal of Magnetic Resonance Imaging, 34(6), 1295–1302. doi: 10.1002/jmri.22788

Pugh, K., & Wei, J. (2001). Clinical implications of physiological changes in the aging heart. Drugs & Aging, 18(4), 263–276.

Raffin, J., Angioni, D., Giudici, K. V., Valet, P., Aggarwal, G., Nguyen, A. D., … MAPT/DSA Group. (2022). Physical Activity, Body Mass Index, and Blood Progranulin in Older Adults: Cross-Sectional Associations in the MAPT Study. The Journals of Gerontology.
Series A, Biological Sciences and Medical Sciences, 77(6), 1141–1149. doi: 10.1093/gerona/glac018

Raftery, A. E. (1995). Bayesian Model Selection in Social Research. Sociological Methodology, 25, 111–163. doi: 10.2307/271063

Raichlen, D. A., Klimentidis, Y. C., Bharadwaj, P. K., & Alexander, G. E. (2020). Differential associations of engagement in physical activity and estimated cardiorespiratory fitness with brain volume in middle-aged to older adults. Brain Imaging and Behavior, 14(5), 1994–2003. doi: 10.1007/s11682-019-00148-x

Raji, C. A., Ho, A. J., Parikshak, N. N., Becker, J. T., Lopez, O. L., Kuller, L. H., … Thompson, P. M. (2009). Brain structure and obesity. Human Brain Mapping, 31(3), 353–364. doi: 10.1002/hbm.20870

Raji, C. A., Merrill, D. A., Eyre, H., Mallam, S., Torosyan, N., Erickson, K. I., … Kuller, L. H. (2016). Longitudinal Relationships between Caloric Expenditure and Gray Matter in the Cardiovascular Health Study. Journal of Alzheimer’s Disease: JAD, 52(2), 719–729. doi: 10.3233/JAD-160057

Rathnayake, N., Rathnayake, H., & Lekamwasam, S. (2022). Age-Related Trends in Body Composition among Women Aged 20–80 Years: A Cross-Sectional Study. Journal of Obesity, 2022, e4767793. doi: 10.1155/2022/4767793

Rathod, K., Kapil, V., Velmurugan, S., Khambata, R., Siddique, U., Khan, S., … Ahluwalia, A. (2017). Sex differences in the inflammatory response and inflammation-induced vascular dysfunction. The Lancet, 389, S20. doi: 10.1016/S0140-6736(17)30416-6

Raz, L. (2014). Estrogen and cerebrovascular regulation in menopause. Molecular and Cellular Endocrinology, 389(1), 22–30. doi: 10.1016/j.mce.2014.01.015

Raz, N., Gunning, F. M., Head, D., Dupuis, J. H., McQuain, J., Briggs, S. D., … Acker, J. D. (1997). Selective aging of the human cerebral cortex observed in vivo: Differential vulnerability of the prefrontal gray matter. Cerebral Cortex, 7(3), 268–282. doi: 10.1093/cercor/7.3.268

Raz, N., Gunning-Dixon, F. M., Head, D., Dupuis, J. H., & Acker, J. D. (1998). Neuroanatomical correlates of cognitive aging: Evidence from structural magnetic resonance imaging. Neuropsychology, 12(1), 95–114. doi: 10.1037/0894-4105.12.1.95

Raz, N., Lindenberger, U., Rodrigue, K. M., Kennedy, K. M., Head, D., Williamson, A., … Acker, J. D. (2005). Regional Brain Changes in Aging Healthy Adults: General Trends, Individual Differences and Modifiers. Cerebral Cortex, 15(11), 1676–1689. doi: 10.1093/cercor/bhi044

Raz, N., & Rodrigue, K. M. (2006). Differential aging of the brain: Patterns, cognitive correlates and modifiers. Neuroscience & Biobehavioral Reviews, 30(6), 730–748. doi: 10.1016/j.neubiorev.2006.07.001

Razzak, Z. A., Khan, A. A., & Farooqui, S. I. (2019). Effect of aerobic and anaerobic exercise on estrogen level, fat mass, and muscle mass among postmenopausal osteoporotic females. International Journal of Health Sciences, 13(4), 10–16.

Rehfeld, K., Müller, P., Aye, N., Schmicker, M., Dordevic, M., Kaufmann, J., … Müller, N. G. (2017). Dancing or Fitness Sport? The Effects of Two Training Programs on Hippocampal Plasticity and Balance Abilities in Healthy Seniors. Frontiers in Human Neuroscience, 11, 305. doi: 10.3389/fnhum.2017.00305

Resnick, S. M., Maki, P. M., Golski, S., Kraut, M. A., & Zonderman, A. B. (1998). Effects of Estrogen Replacement Therapy on PET Cerebral Blood Flow and Neuropsychological Performance. Hormones and Behavior, 34(2), 171–182. doi: 10.1006/hbeh.1998.1476

Resnick, S. M., Pham, D. L., Kraut, M. A., Zonderman, A. B., & Davatzikos, C. (2003). Longitudinal magnetic resonance imaging studies of older adults: A shrinking brain. The Journal of Neuroscience: The Official Journal of the Society for Neuroscience, 23(8), 3295–3301.

Riddle, D. R., Sonntag, W. E., & Lichtenwalner, R. J. (2003). Microvascular plasticity in aging. Ageing Research Reviews, 2(2), 149–168. doi: 10.1016/S1568-1637(02)00064-8

Rizvi, B., Lao, P. J., Chesebro, A. G., Dworkin, J. D., Amarante, E., Beato, J. M., … Brickman, A. M. (2021). Association of Regional White Matter Hyperintensities With Longitudinal Alzheimer-Like Pattern of Neurodegeneration in Older Adults. JAMA Network Open, 4(10), e2125166. doi: 10.1001/jamanetworkopen.2021.25166

Robison, L. S., Gannon, O. J., Salinero, A. E., & Zuloaga, K. L. (2019). Contributions of sex to cerebrovascular function and pathology. Brain Research, 1710, 43–60. doi: 10.1016/j.brainres.2018.12.030

Rodriguez, G., Warkentin, S., Risberg, J., & Rosadini, G. (1988). Sex differences in regional cerebral blood flow. Journal of Cerebral Blood Flow and Metabolism: Official Journal of the International Society of Cerebral Blood Flow and Metabolism, 8(6), 783–789. doi: 10.1038/jcbfm.1988.133

Rogers, R. L., Meyer, J. S., & Mortel, K. F. (1990). After Reaching Retirement Age Physical Activity Sustains Cerebral Perfusion and Cognition. Journal of the American Geriatrics Society, 38(2), 123–128. doi: 10.1111/j.1532-5415.1990.tb03472.x

Ronan, L., Alexander-Bloch, A. F., Wagstyl, K., Farooqi, S., Brayne, C., Tyler, L. K., & Fletcher, P. C. (2016). Obesity associated with increased brain age from midlife. Neurobiology of Aging, 47, 63–70. doi: 10.1016/j.neurobiolaging.2016.07.010

Rosano, C., Guralnik, J., Pahor, M., Glynn, N. W., Newman, A. B., Ibrahim, T. S., … Aizenstein, H. J. (2017). Hippocampal Response to a 24-Month Physical Activity Intervention in Sedentary Older Adults. The American Journal of Geriatric Psychiatry, 25(3), 209–217. doi: 10.1016/j.jagp.2016.11.007

Rosano, C., Venkatraman, V. K., Guralnik, J., Newman, A. B., Glynn, N. W., Launer, L., … Aizenstein, H. (2010). Psychomotor Speed and Functional Brain MRI 2 Years After Completing a Physical Activity Treatment. The Journals of Gerontology Series A: Biological Sciences and Medical Sciences, 65A(6), 639–647. doi: 10.1093/gerona/glq038

Ross, R., Chaput, J.-P., Giangregorio, L. M., Janssen, I., Saunders, T. J., Kho, M. E., … Tremblay, M. S. (2020). Canadian 24-Hour Movement Guidelines for Adults aged 18-64 years and Adults aged 65 years or older: An integration of physical activity, sedentary behaviour, and sleep. Applied Physiology, Nutrition, and Metabolism = Physiologie Appliquee, Nutrition Et Metabolisme, 45(10 (Suppl. 2)), S57–S102. doi: 10.1139/apnm-2020-0467

Rostrup, E., Law, I., Blinkenberg, M., Larsson, H. B., Born, A. P., Holm, S., & Paulson, O. B. (2000). Regional differences in the CBF and BOLD responses to hypercapnia: A combined PET and fMRI study. NeuroImage, 11(2), 87–97. doi: 10.1006/nimg.1999.0526

Rovio, S., Kåreholt, I., Helkala, E.-L., Viitanen, M., Winblad, B., Tuomilehto, J., … Kivipelto, M. (2005). Leisure-time physical activity at midlife and the risk of dementia and Alzheimer’s disease. The Lancet Neurology, 4(11), 705–711. doi: 10.1016/S1474-4422(05)70198-8

Rovio, S., Spulber, G., Nieminen, L. J., Niskanen, E., Winblad, B., Tuomilehto, J., … Kivipelto, M. (2010). The effect of midlife physical activity on structural brain changes in the elderly. Neurobiology of Aging, 31(11), 1927–1936. doi: 10.1016/j.neurobiolaging.2008.10.007

Rowbotham, G. F., & Little, E. (1965). CIRCULATIONS OF THE CEREBRAL HEMISPHERES. The British Journal of Surgery, 52, 8–21. doi: 10.1002/bjs.1800520104

Rowe, J. W., & Kahn, R. L. (1987). Human Aging: Usual and Successful. Science, 237(4811), 143–149.

Ruigrok, A. N. V., Salimi-Khorshidi, G., Lai, M.-C., Baron-Cohen, S., Lombardo, M. V., Tait, R. J., & Suckling, J. (2014). A meta-analysis of sex differences in human brain structure. Neuroscience and Biobehavioral Reviews, 39, 34–50. doi: 10.1016/j.neubiorev.2013.12.004

Sabia, S., Dugravot, A., Dartigues, J.-F., Abell, J., Elbaz, A., Kivimäki, M., & Singh-Manoux, A. (2017). Physical activity, cognitive decline, and risk of dementia: 28 year follow-up of Whitehall II cohort study. BMJ, 357, j2709. doi: 10.1136/bmj.j2709

Sabra, D., Intzandt, B., Desjardins-Crepeau, L., Langeard, A., Steele, C. J., Frouin, F., … Gauthier, C. J. (2021). Sex moderations in the relationship between aortic stiffness, cognition, and cerebrovascular reactivity in healthy older adults. PLOS ONE, 16(9), e0257815. doi: 10.1371/journal.pone.0257815

Salat, D. (2011). The Declining Infrastructure of the Aging Brain. Brain Connectivity, 1(4), 279–293. doi: 10.1089/brain.2011.0056

Salat, D. H., Kaye, J. A., & Janowsky, J. S. (1999). Prefrontal Gray and White Matter Volumes in Healthy Aging and Alzheimer Disease. Archives of Neurology, 56(3), 338. doi: 10.1001/archneur.56.3.338

Salat, D., Tuch, D., Hevelone, N., Fischl, B., Corkin, S., Rosas, H., & Dale, A. (2005). Age‐Related Changes in Prefrontal White Matter Measured by Diffusion Tensor Imaging. Ann Ny Acad Sci, 1064(1), 37–49. doi: 10.1196/annals.1340.009

Saltin, B., & Strange, S. (1992). Maximal oxygen uptake: “old” and “new” arguments for a cardiovascular limitation. Medicine and Science in Sports and Exercise, 24(1), 30–37.

Sanders, A.M., Richard, G., Kolskår, K., Ulrichsen, K. M., Kaufmann, T., Alnæs, D., … Westlye, L. T. (2021). Linking objective measures of physical activity and capability with brain structure in healthy community dwelling older adults. NeuroImage. Clinical, 31, 102767. doi: 10.1016/j.nicl.2021.102767

Sansano-Nadal, O., Giné-Garriga, M., Brach, J. S., Wert, D. M., Jerez-Roig, J., Guerra-Balic, M., … Roqué, M. (2019). Exercise-Based Interventions to Enhance Long-Term Sustainability of Physical Activity in Older Adults: A Systematic Review and Meta-Analysis of Randomized Clinical Trials. International Journal of Environmental Research and Public Health, 16(14). doi: 10.3390/ijerph16142527

Sarrel, P. M. (1999). The differential effects of oestrogens and progestins on vascular tone. Human Reproduction Update, 5(3), 205–209. doi: 10.1093/humupd/5.3.205

Sarti, C., Pantoni, L., Bartolini, L., & Inzitari, D. (2002). Cognitive impairment and chronic cerebral hypoperfusion: What can be learned from experimental models. Journal of the Neurological Sciences, 203–204, 263–266. doi: 10.1016/S0022-510X(02)00302-7

Scarmeas, N., Habeck, C. G., Stern, Y., & Anderson, K. E. (2003). APOE genotype and cerebral blood flow in healthy young individuals. JAMA, 290(12), 1581–1582. doi: 10.1001/jama.290.12.1581

Schorr, M., Dichtel, L. E., Gerweck, A. V., Valera, R. D., Torriani, M., Miller, K. K., & Bredella, M. A. (2018). Sex differences in body composition and association with cardiometabolic risk. Biology of Sex Differences, 9(1), 28. doi: 10.1186/s13293-018-0189-3

Schubert, T., Strobach, T., & Karbach, J. (2014). New directions in cognitive training: On methods, transfer, and application. Psychological Research, 78(6), 749–755. doi: 10.1007/s00426-014-0619-8

Seals, D. R., Nagy, E. E., & Moreau, K. L. (2019). Aerobic exercise training and vascular function with ageing in healthy men and women. The Journal of Physiology, 597(19), 4901–4914. doi: 10.1113/JP277764

Seals, D. R., Walker, A. E., Pierce, G. L., & Lesniewski, L. A. (2009). Habitual exercise and vascular ageing. J Physiology, 587(23), 5541–5549. doi: 10.1113/jphysiol.2009.178822

Sexton, C., Betts, J., Demnitz, N., Dawes, H., Ebmeier, K., & Heidi, J. B. (2016). A systematic review of MRI studies examining the relationship between physical fitness and activity and the white matter of the ageing brain. Neuroimage, 131, 81–90. doi: 10.1016/j.neuroimage.2015.09.071

Sexton, C. E., Betts, J. F., Dennis, A., Doherty, A., Leeson, P., Holloway, C., … Johansen-Berg, H. (2020). The effects of an aerobic training intervention on cognition, grey matter volumes and white matter microstructure. Physiology & Behavior, 223, 112923. doi: 10.1016/j.physbeh.2020.112923

Shaaban, C. E., Aizenstein, H. J., Jorgensen, D. R., Mahbubani, R. L. M., Meckes, N. A., Erickson, K. I., … Rosano, C. (2019). Physical Activity and Cerebral Small Vein Integrity in Older Adults: Medicine & Science in Sports & Exercise, 51(8), 1684–1691. doi: 10.1249/MSS.0000000000001952

Shamseer, L., Moher, D., Clarke, M., Ghersi, D., Liberati, A., Petticrew, M., … the PRISMA-P Group. (2015). Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015: Elaboration and explanation. BMJ, 349(jan02 1), g7647–g7647. doi: 10.1136/bmj.g7647

Shattuck, D. W., Mirza, M., Adisetiyo, V., Hojatkashani, C., Salamon, G., Narr, K. L., … Toga, A. W. (2008). Construction of a 3D probabilistic atlas of human cortical structures. NeuroImage, 39(3), 1064–1080. doi: 10.1016/j.neuroimage.2007.09.031

Sherrington, C., Fairhall, N., Wallbank, G., Tiedemann, A., Michaleff, Z. A., Howard, K., … Lamb, S. (2019). Exercise for preventing falls in older people living in the community: An abridged Cochrane systematic Review. British Journal of Sports Medicine. doi: 10.1136/bjsports-2019-101512

Shi, Z., Wong, J., & Brooks, V. L. (2020). Obesity: Sex and sympathetics. Biology of Sex Differences, 11(1), 10. doi: 10.1186/s13293-020-00286-8

Shiino, A., Chen, Y., Tanigaki, K., Yamada, A., Vigers, P., Watanabe, T., … Akiguchi, I. (2017). Sex-related difference in human white matter volumes studied: Inspection of the corpus callosum and other white matter by VBM. Scientific Reports, 7(1), 39818. doi: 10.1038/srep39818

Silvah, J. H., Marchini, J. S., Mártires Lima, C. M., Ferreira Nicoletti, C., Alexandre Santos, L., Nobuyuki Itikawa, E., … Wichert-Ana, L. (2020). Regional cerebral blood flow at rest in obesity. Nutrition, 79–80, 110888. doi: 10.1016/j.nut.2020.110888

Skarsgard, P., Van Breemen, C., & Laher, I. (1997). Estrogen regulates myogenic tone in pressurized cerebral arteries by enhanced basal release of nitric oxide. American Journal of Physiology-Heart and Circulatory Physiology, 273(5), H2248–H2256. doi: 10.1152/ajpheart.1997.273.5.H2248

Slessarev, M., Han, J., Mardimae, A., Prisman, E., Preiss, D., Volgyesi, G., … Fisher, J. (2007). Prospective targeting and control of end‐tidal CO2 and O2 concentrations. J Physiol, 15(581), 1207–1219.

Smith, A. J., Phipps, W. R., Thomas, W., Schmitz, K. H., & Kurzer, M. S. (2013). The Effects of Aerobic Exercise on Estrogen Metabolism in Healthy Premenopausal Women. Cancer Epidemiology, Biomarkers & Prevention : A Publication of the American Association for Cancer Research, Cosponsored by the American Society of Preventive Oncology, 22(5), 756–764. doi: 10.1158/1055-9965.EPI-12-1325

Smith, C. D., Snowdon, D., & Markesbery, W. R. (2000). Periventricular white matter hyperintensities on MRI: Correlation with neuropathologic findings. Journal of Neuroimaging: Official Journal of the American Society of Neuroimaging, 10(1), 13–16. doi: 10.1111/jon200010113

Smith, S. M. (2002). Fast robust automated brain extraction. Human Brain Mapping, 17(3), 143–155. doi: 10.1002/hbm.10062

Smith, S. M., & Nichols, T. E. (2009). Threshold-free cluster enhancement: Addressing problems of smoothing, threshold dependence and localisation in cluster inference. NeuroImage, 44(1), 83–98. doi: 10.1016/j.neuroimage.2008.03.061

Sobczyk, O., Battisti-Charbonney, A., Fierstra, J., Mandell, D. M., Poublanc, J., Crawley, A. P., … Fisher, J. A. (2014). A conceptual model for CO2-induced redistribution of cerebral blood flow with experimental confirmation using BOLD MRI. NeuroImage, 92, 56–68. doi: 10.1016/j.neuroimage.2014.01.051

Song, R., Xu, H., Dintica, C. S., Pan, K.-Y., Qi, X., Buchman, A. S., … Xu, W. (2020). Associations Between Cardiovascular Risk, Structural Brain Changes, and Cognitive Decline. Journal of the American College of Cardiology, 75(20), 2525–2534. doi: 10.1016/j.jacc.2020.03.053

Soreca, I., Rosano, C., Jennings, J. R., Sheu, L. K., Kuller, L. H., Matthews, K. A., … Gianaros, P. J. (2009). Gain in Adiposity Across 15 Years is Associated With Reduced Gray Matter Volume in Healthy Women. Psychosomatic Medicine, 71(5), 485–490. doi: 10.1097/PSY.0b013e3181a5429d

Spartano, N. L., Demissie, S., Himali, J. J., Dukes, K. A., Murabito, J. M., Vasan, R. S., … Seshadri, S. (2019). Accelerometer-determined physical activity and cognitive function in middle-aged and older adults from two generations of the Framingham Heart Study. Alzheimer’s & Dementia (New York, N. Y.), 5, 618–626. doi: 10.1016/j.trci.2019.08.007

Staffaroni, A. M., Cobigo, Y., Elahi, F. M., Casaletto, K. B., Walters, S. M., Wolf, A., … Kramer, J. H. (2019). A longitudinal characterization of perfusion in the aging brain and associations with cognition and neural structure. Human Brain Mapping, hbm.24613. doi: 10.1002/hbm.24613

Stanhewicz, A. E., Wenner, M. M., & Stachenfeld, N. S. (2018). Sex differences in endothelial function important to vascular health and overall cardiovascular disease risk across the lifespan. American Journal of Physiology-Heart and Circulatory Physiology, 315(6), H1569–H1588. doi: 10.1152/ajpheart.00396.2018

Steffener, J., Habeck, C., O’Shea, D., Razlighi, Q., Bherer, L., & Stern, Y. (2016). Differences between chronological and brain age are related to education and self-reported physical activity. Neurobiology of Aging, 40, 138–144. doi: 10.1016/j.neurobiolaging.2016.01.014

Steventon, J. J., Foster, C., Furby, H., Helme, D., Wise, R. G., & Murphy, K. (2020). Hippocampal Blood Flow Is Increased After 20 min of Moderate-Intensity Exercise. Cerebral Cortex, 30(2), 525–533. doi: 10.1093/cercor/bhz104

Stillman, C. M., Esteban-Cornejo, I., Brown, B., Bender, C. M., & Erickson, K. I. (2020). Effects of Exercise on Brain and Cognition Across Age Groups and Health States. Trends in Neurosciences, 43(7), 533–543. doi: 10.1016/j.tins.2020.04.010

Stillman, C. M., Weinstein, A. M., Marsland, A. L., Gianaros, P. J., & Eri
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