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Ali K. Bourisly
Researcher at Kuwait University
Publications - 22
Citations - 158
Ali K. Bourisly is an academic researcher from Kuwait University. The author has contributed to research in topics: Emotion classification & Oddball paradigm. The author has an hindex of 7, co-authored 21 publications receiving 105 citations.
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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.
TL;DR: Grey matter loss in the frontal lobe was among the most widespread of all brain regions across the comparison groups that showed significant age-related changes in grey matter for both males and females.
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Tunable Q wavelet transform based emotion classification in Parkinson's disease using Electroencephalography.
Murugappan Murugappan,Waleed B. Alshuaib,Ali K. Bourisly,Smith K. Khare,Sai Sruthi,Varun Bajaj +5 more
TL;DR: The proposed tunable Q wavelet transform (TQWT) proved to be very effective such that it classifies emotions in PD and could be used as a potential tool for diagnosing emotional impairment in hospitals.
Journal ArticleDOI
Neurophysiological Effects of Aging: A P200 ERP Study.
Ali K. Bourisly,Ali Shuaib +1 more
TL;DR: It is indicated that ERP is affected by advanced age, and the results of this study are explained in light of aging effects on attentional recruitment and frontal lobe intactness.
Journal ArticleDOI
Comparing the Efficacy of Four Brief Inductions in Boosting Short-Term Creativity
TL;DR: In this article, four short-term induction methods which differed along two information processing dimensions (modality and demand) were compared within a single experimental paradigm alongside a non-induction control group to determine which was the most effective at improving creativity.
Journal ArticleDOI
White Matter Sexual Dimorphism of the Adult Human Brain.
Ali K. Bourisly,Grace Gejo,Abrar A. Hayat,Lamya Alsarraf,Fatima M. Dashti,Margherita Di Paola +5 more
TL;DR: A voxel-based morphometry (VBM) analysis along with global volume analysis for white matter across sex found males to have larger WM, compared to females, in occipital, temporal, insular, parietal, and frontal brain regions.