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To investigate power of brain activity using EEG comparison between creative and non-creative design task


To investigate power of brain activity using EEG comparison between creative and non-creative design task

Singh, Dalvir (2017) To investigate power of brain activity using EEG comparison between creative and non-creative design task. Masters thesis, Concordia University.

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In recent times, neurophysiological measurement methods such as EEG and fMRI are widely used in an Engineering field to study designer’s brain activity during creative thinking. In literature, many researchers reported the synchronization and desynchronization of EEG activity in specific brain cortex during creative thinking. However, we do not find many studies associated to comparison of designer’s brain activity during creativity/non-creativity related task demands. The chief objective of present thesis is to investigate the power of brain activity using EEG comparison between creative and non-creative design task. For psychometric measures of creative thinking, Torrance Test of Creative Thinking (TTCT) (Torrance, 1966) is widely used. In present thesis, we use modified TTCT according to our experiment requirement. The test was decomposed between creative and non-creative design task. In creative design task, designers were instructed to think creatively whereas in non-creative design task they were required to think intuitively. When designers were performing these design tasks, their EEG recordings were obtained to investigate brain activity during design tasks. The EEG powers are calculated through spectral analysis. We aggregate electrode positions to identify distribution of EEG powers among brain regions during cognitive task performance. In order to compare EEG between creative and non-creative design task using cortical area to area approach, we perform repeated measure ANOVA for within-subject factors such as design task and brain areas. However, we found non-significant interaction effect between creative/non-creative design task and cortical areas.

Divisions:Concordia University > Gina Cody School of Engineering and Computer Science > Concordia Institute for Information Systems Engineering
Item Type:Thesis (Masters)
Authors:Singh, Dalvir
Institution:Concordia University
Degree Name:M.A. Sc.
Program:Quality Systems Engineering
Date:18 August 2017
Thesis Supervisor(s):Zeng, Yong
Keywords:EEG, Creative/non-creative design task
ID Code:982858
Deposited By: Dalvir Singh
Deposited On:10 Nov 2017 21:36
Last Modified:18 Jan 2018 17:55


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