2015 Fiscal Year Final Research Report
Individual differences revealed by brain network analysis based on graph theory
| Project/Area Number |
25350994
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Basic / Social brain science
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| Research Institution | Wakayama Medical University |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
KANEOKE Yoshiki 和歌山県立医科大学, 医学部, 教授 (20280589)
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| Project Period (FY) |
2013-04-01 – 2016-03-31
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| Keywords | individual difference / sex difference / fMRI / functional network / graph theory / resting state / personality |
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| Outline of Final Research Achievements |
We explored the neural basis of individual difference and personality by network analysis of the resting-state brain. We introduced normalized alpha-centrality to characterize the brain functional network for the first time in the field, and applied it successfully to the following: 1) Sex differences of the brain functional network. Significant sex differences were revealed at the bilateral insula, right inferior frontal gyrus, and cuneus, suggesting that these regions play an important role in the neural basis of sex differences. 2) Brain networks related to personality traits. Multiple segregated regions were found to show significant correlations with personality scores defined in Cloninger's Temperament and Character Inventory and Big-Five model. Results suggest that these regions are related to the corresponding personality traits, each of which is carved in the resting-state brain functional network.
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| Free Research Field |
神経生理学
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