Functional connectome fingerprinting: Identifying individuals and predicting cognitive functions via autoencoder

Functional network connectivity has been widely acknowledged to characterize brain functions, which can be regarded as “brain fingerprinting” to identify an individual from a pool of subjects. Both common and unique information has been shown to exist in the connectomes across individuals. However,...

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Bibliographic Details
Published in:	Human brain mapping Vol. 42; no. 9; pp. 2691 - 2705
Main Authors:	Cai, Biao, Zhang, Gemeng, Zhang, Aiying, Xiao, Li, Hu, Wenxing, Stephen, Julia M., Wilson, Tony W., Calhoun, Vince D., Wang, Yu‐Ping
Format:	Journal Article
Language:	English
Published:	Hoboken, USA John Wiley & Sons, Inc 15.06.2021
Subjects:	Adult autoencoder network Biological Variation, Individual Brain Brain - diagnostic imaging Brain - physiology Cognition Cognition - physiology Cognitive ability common connectivity patterns Connectome - methods Default Mode Network - diagnostic imaging Default Mode Network - physiology Executive function Fingerprinting functional connectivity Functionals high‐level cognition prediction Humans individual identification Intelligence Machine learning Magnetic Resonance Imaging - methods Nerve Net - diagnostic imaging Nerve Net - physiology Neural networks refined connectomes autoencoder network common connectivity patterns functional connectivity refined connectomes individual identification high-level cognition prediction
ISSN:	1065-9471, 1097-0193, 1097-0193
Online Access:	Get full text
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