A joint network optimization framework to predict clinical severity from resting state functional MRI data-Reference-Cited by-同舟云学术

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A joint network optimization framework to predict clinical severity from resting state functional MRI data

Published:2020-02 Issue: Volume:206 Page:116314
ISSN:1053-8119
Container-title:NeuroImage
language:en
Short-container-title:NeuroImage

Author:

D’Souza N.S.,Nebel M.B.,Wymbs N.,Mostofsky S.H.,Venkataraman A.

Funder

National Science Foundation

CAREER

National Institute of Mental Health

National Institute of Neurological Disorders and Stroke

Autism Speaks

Publisher

Elsevier BV

Subject

Cognitive Neuroscience,Neurology

Reference55 articles.

1. Hierarchical organization of functional connectivity in the mouse brain: a complex network approach;Bardella,2016

2. Small-world brain networks;Bassett;The Neuroscientist,2006

3. A component based noise correction method (CompCor) for BOLD and perfusion based fMRI;Behzadi;Neuroimage,2007

4. Assessing autistic traits: cross-cultural validation of the social responsiveness scale (SRS);Bolte;Autism Res.,2008

5. Complex brain networks: graph theoretical analysis of structural and functional systems;Bullmore;Nat. Rev. Neurosci.,2009

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