Identification of Temporal Transition of Functional States Using Recurrent Neural Networks from Functional MRI

Pages: 232 - 239
Published: Jan 1, 2018
Abstract
Dynamic functional connectivity analysis provides valuable information for understanding brain functional activity underlying different cognitive processes. Besides sliding window based approaches, a variety of methods have been developed to automatically split the entire functional MRI scan into segments by detecting change points of functional signals to facilitate better characterization of temporally dynamic functional connectivity patterns....
Paper Details
Title
Identification of Temporal Transition of Functional States Using Recurrent Neural Networks from Functional MRI
Published Date
Jan 1, 2018
Pages
232 - 239
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