Dynamic functional connectivity analysis with temporal convolutional network for attention deficit/hyperactivity disorder identification

Dynamic functional connectivity analysis with temporal convolutional network for attention deficit/hyperactivity disorder identification

IntroductionDynamic functional connectivity (dFC), which can capture the abnormality of brain activity over time in resting-state functional magnetic resonance imaging (rs-fMRI) data, has a natural advantage in revealing the abnormal mechanism of brain activity in patients with Attention Deficit/Hyp...

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Bibliographic Details
Main Authors: Mingliang Wang, Lingyao Zhu, Xizhi Li, Yong Pan, Long Li
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-12-01
Series:Frontiers in Neuroscience
Subjects:
functional connectivity
temporal dependence
dynamics characteristics
attention deficit/hyperactivity disorder
temporal convolutional network
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2023.1322967/full

Internet

https://www.frontiersin.org/articles/10.3389/fnins.2023.1322967/full

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