A 5D approach to study spatio-temporal dynamism of resting-state brain networks in schizophrenia-Reference-Cited by-同舟云学术

A 5D approach to study spatio-temporal dynamism of resting-state brain networks in schizophrenia

Published:2022-07-11 Issue: Volume: Page:
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Container-title:2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
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Author:

Kazemivash B.¹,Calhoun V.D.²

Affiliation:

1. Georgia State University,Department of Computer Science,Atlanta,GA,30332

2. Georgia State University, Georgia Institute of Technology, and Emory University,Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS),Atlanta,GA,30303

Funder

National Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9870821/9870822/09871362.pdf?arnumber=9871362

Reference13 articles.

1. Multi-spatial scale dynamic interactions between functional sources reveal sex-specific changes in schizophrenia

2. NeuroMark: An automated and adaptive ICA based pipeline to identify reproducible fMRI markers of brain disorders;du;NeuroImage Clinical,2020

3. BPARC: A novel spatio-temporal (4D) data-driven brain parcellation scheme based on deep residual networks

4. A novel 5D brain parcellation approach based on spatio-temporal encoding of resting fMRI data from deep residual learning

5. The Chronnectome: Time-Varying Connectivity Networks as the Next Frontier in fMRI Data Discovery

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