Brief segments of neurophysiological activity enable individual differentiation.

ABSTRACT: Large, openly available datasets and current analytic tools promise the emergence of population neuroscience. The considerable diversity in personality traits and behaviour between individuals is reflected in the statistical variability of neural data collected in such repositories. Recent studies with functional magnetic resonance imaging (fMRI) have concluded that patterns of resting-state functional connectivity can both successfully distinguish individual participants within a cohort and predict some individual traits, yielding the notion of an individual's neural fingerprint. Here, we aim to clarify the neurophysiological foundations of individual differentiation from features of the rich and complex dynamics of resting-state brain activity using magnetoencephalography (MEG) in 158 pa

SUBMITTER: da Silva Castanheira J 

PROVIDER: S-EPMC8481307 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature