A framework for linking resting-state chronnectome/genome features in schizophrenia: A pilot study-Reference-Cited by-同舟云学术

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A framework for linking resting-state chronnectome/genome features in schizophrenia: A pilot study

Published:2019-01 Issue: Volume:184 Page:843-854
ISSN:1053-8119
Container-title:NeuroImage
language:en
Short-container-title:NeuroImage

Author:

Rashid Barnaly,Chen Jiayu,Rashid Ishtiaque,Damaraju Eswar,Liu Jingyu,Miller Robyn,Agcaoglu Oktay,van Erp Theo G.M.,Lim Kelvin O.,Turner Jessica A.,Mathalon Daniel H.,Ford Judith M.,Voyvodic James,Mueller Bryon A.,Belger Aysenil,McEwen Sarah,Potkin Steven G.,Preda Adrian,Bustillo Juan R.,Pearlson Godfrey D.,Calhoun Vince D.

Funder

National Institutes of Health (NIH)

Department of Veterans Affairs

National Science Foundation

Publisher

Elsevier BV

Subject

Cognitive Neuroscience,Neurology

Reference96 articles.

1. The chronnectome: evaluating replicability of dynamic connectivity patterns in 7500 resting fMRI datasets;Abrol,2016

2. Replicability of time-varying connectivity patterns in large resting state fMRI samples;Abrol;Neuroimage,2017

3. EEG signatures of dynamic functional network connectivity states;Allen;Brain Topogr.,2018

4. Tracking whole-brain connectivity dynamics in the resting state;Allen;Cerebr. Cortex,2014

5. Resting-state functional connectivity alterations in the default network of schizophrenia patients with persistent auditory verbal hallucinations;Alonso-Solís;Schizophr. Res.,2015

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