A Deep Learning Model for Data-Driven Discovery of Functional Connectivity

A Deep Learning Model for Data-Driven Discovery of Functional Connectivity

Functional connectivity (FC) studies have demonstrated the overarching value of studying the brain and its disorders through the undirected weighted graph of functional magnetic resonance imaging (fMRI) correlation matrix. However, most of the work with the FC depends on the way the connectivity is...

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Bibliographic Details
Main Authors: Usman Mahmood, Zening Fu, Vince D. Calhoun, Sergey Plis
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Algorithms
Subjects:
functional connectivity
deep learning
schizophrenia
Online Access:https://www.mdpi.com/1999-4893/14/3/75

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