Deep learning identifies partially overlapping subnetworks in the human social brain.

ABSTRACT: Complex social interplay is a defining property of the human species. In social neuroscience, many experiments have sought to first define and then locate 'perspective taking', 'empathy', and other psychological concepts to specific brain circuits. Seldom, bottom-up studies were conducted to first identify explanatory patterns of brain variation, which are then related to psychological concepts; perhaps due to a lack of large population datasets. In this spirit, we performed a systematic de-construction of social brain morphology into its elementary building blocks, involving ~10,000 UK Biobank participants. We explored coherent representations of structural co-variation at population scale within a recent social brain atlas, by translating autoencoder neural networks from deep learning. T

SUBMITTER: Kiesow H 

PROVIDER: S-EPMC7809473 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature