Brain fingerprinting and cognitive behavior predicting using functional connectome of high inter-subject variability

•High inter-subject variability for brain fingerprinting and cognitive behavior predicting.•Conditional deep generative network for extracting shared information of inter-subject.•Embed the state information into the conditional deep generative network.•High accuracy based on a large number of subje...

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Bibliographic Details
Published in:	NeuroImage (Orlando, Fla.) Vol. 295; p. 120651
Main Authors:	Lu, Jiayu, Yan, Tianyi, Yang, Lan, Zhang, Xi, Li, Jiaxin, Li, Dandan, Xiang, Jie, Wang, Bin
Format:	Journal Article
Language:	English
Published:	United States Elsevier Inc 15.07.2024 Elsevier Limited Elsevier
Subjects:	Accuracy Adult Biomarkers Brain Brain - diagnostic imaging Brain - physiology Cognition & reasoning Cognition - physiology Cognitive behavior predicting Conditional variational autoencoder network Connectome - methods Datasets Embedding Female Fingerprint Fingerprinting Functional connectivity Functional magnetic resonance imaging Humans Individual identification Machine learning Magnetic resonance imaging Magnetic Resonance Imaging - methods Male Nerve Net - diagnostic imaging Nerve Net - physiology Neural networks Neuroimaging Functional connectivity Cognitive behavior predicting Fingerprint Individual identification Conditional variational autoencoder network
ISSN:	1053-8119, 1095-9572, 1095-9572
Online Access:	Get full text
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