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

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
Main Authors: Cai, B. (Author), Calhoun, V.D (Author), Hu, W. (Author), Stephen, J.M (Author), Wang, Y.-P (Author), Wilson, T.W (Author), Xiao, L. (Author), Zhang, A. (Author), Zhang, G. (Author)
Format: Article
Language:English
Published: John Wiley and Sons Inc 2021
Subjects:
adult
Adult
article
association cortex
autoencoder
autoencoder network
biological variation
Biological Variation, Individual
brain
Brain
cognition
Cognition
common connectivity patterns
comprehension
connectome
Connectome
default mode network
Default Mode Network
diagnostic imaging
executive function
female
functional connectivity
high-level cognition prediction
human
human experiment
Humans
individual identification
intelligence
language
Magnetic Resonance Imaging
male
nerve cell network
Nerve Net
nuclear magnetic resonance imaging
physiology
prediction
procedures
refined connectomes
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Internet

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