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Sex differences in the relationship between white matter connectivity and creativity.

Authors :
Ryman SG
van den Heuvel MP
Yeo RA
Caprihan A
Carrasco J
Vakhtin AA
Flores RA
Wertz C
Jung RE
Source :
NeuroImage [Neuroimage] 2014 Nov 01; Vol. 101, pp. 380-9. Date of Electronic Publication: 2014 Jul 23.
Publication Year :
2014

Abstract

Creative cognition emerges from a complex network of interacting brain regions. This study investigated the relationship between the structural organization of the human brain and aspects of creative cognition tapped by divergent thinking tasks. Diffusion weighted imaging (DWI) was used to obtain fiber tracts from 83 segmented cortical regions. This information was represented as a network and metrics of connectivity organization, including connectivity strength, clustering and communication efficiency were computed, and their relationship to individual levels of creativity was examined. Permutation testing identified significant sex differences in the relationship between global connectivity and creativity as measured by divergent thinking tests. Females demonstrated significant inverse relationships between global connectivity and creative cognition, whereas there were no significant relationships observed in males. Node specific analyses revealed inverse relationships across measures of connectivity, efficiency, clustering and creative cognition in widespread regions in females. Our findings suggest that females involve more regions of the brain in processing to produce novel ideas to solutions, perhaps at the expense of efficiency (greater path lengths). Males, in contrast, exhibited few, relatively weak positive relationships across these measures. Extending recent observations of sex differences in connectome structure, our findings of sexually dimorphic relationships suggest a unique topological organization of connectivity underlying the generation of novel ideas in males and females.<br /> (Published by Elsevier Inc.)

Details

Language :
English
ISSN :
1095-9572
Volume :
101
Database :
MEDLINE
Journal :
NeuroImage
Publication Type :
Academic Journal
Accession number :
25064665
Full Text :
https://doi.org/10.1016/j.neuroimage.2014.07.027