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- W2897672039 abstract "In personality neuroscience, the openness-brain association has been a topic of interest. Previous studies usually started from difference in openness trait and used it to infer brain functional activity characteristics, but no study has used a brain-first research strategy to explore that association based on more objective brain imaging data. In this study, we used a fully data-driven approach to discover and validate the association between openness and the resting-state brain network. We collected data of 120 subjects as a discovery sample and 56 subjects as a validation sample. The Neuroticism Extraversion Openness Five-Factor Inventory (NEO-FFI) was used to measure the personality characteristics of all the subjects. Using an exploratory approach based on independent component analysis of resting-state functional magnetic resonance imaging (fMRI) data, we identified a parietal network that consisted of the precuneus and inferior parietal lobe. The inter-subject similarity of the parietal memory network exhibited significant associations with openness trait, and this association was validated using the 56-subject independent sample. This finding connects the openness trait to the characteristics of a neural network and helps to understand the underlying biology of the openness trait." @default.
- W2897672039 created "2018-10-26" @default.
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- W2897672039 date "2018-10-22" @default.
- W2897672039 modified "2023-10-14" @default.
- W2897672039 title "Connecting Openness and the Resting-State Brain Network: A Discover-Validate Approach" @default.
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- W2897672039 doi "https://doi.org/10.3389/fnins.2018.00762" @default.
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- W2897672039 hasPublicationYear "2018" @default.
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