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Testing Brain Structure Predictions from Personality Neurosc | 93212

Journal des neurosciences et de la neuropharmacologie

Abstrait

Testing Brain Structure Predictions from Personality Neuroscience

Alyssa Farkas

The goal of personality neuroscience is to identify links between brain measurements and psychological characteristics. Small sample size and the exclusion of out-of-sample prediction are only two of the reasons that have severely constrained findings yet. We took advantage of the recent availability of a sizable database and the development of precise standards for best practices in neuroimaging analyses of individual differences. The Human Connectome Project database contained 884 young, healthy adults' resting-state functional magnetic resonance imaging (fMRI) data. We used individual functional connectivity matrices to attempt to predict personality qualities from the "Big Five," as measured by the Neuroticism/Extraversion/Openness Five-Factor Inventory exam. We measured how well the neuroimaging data might predict each of the five personality characteristics using a crossvalidated framework and test-retest replication after regressing for possible confounds (such as age, gender, handedness, and fluid intelligence).