Dynamic changes of spatial functional network connectivity in healthy individuals and schizophrenia patients using independent vector analysis
Authors:
- 1 April 2014
- journal article
- research article
- Published by Elsevier in NeuroImage
- Vol. 90, 196-206
Abstract
No abstract availableKeywords
Funding Information
- NSF (NSF-IIS 1017718, NSF-CCF 1117056)
This publication has 47 references indexed in Scilit:
- Dynamic functional connectivity: Promise, issues, and interpretationsNeuroImage, 2013
- Capturing inter-subject variability with group independent component analysis of fMRI data: A simulation studyNeuroImage, 2012
- Altered resting state complexity in schizophreniaNeuroImage, 2012
- Time–frequency dynamics of resting-state brain connectivity measured with fMRINeuroImage, 2010
- A method for evaluating dynamic functional network connectivity and task-modulation: application to schizophreniaMagnetic Resonance Materials in Physics, Biology and Medicine, 2010
- Dysconnection in Schizophrenia: From Abnormal Synaptic Plasticity to Failures of Self-monitoringSchizophrenia Bulletin, 2009
- Functional connectivity of default mode network components: Correlation, anticorrelation, and causalityHuman Brain Mapping, 2009
- Modulation of temporally coherent brain networks estimated using ICA at rest and during cognitive tasksHuman Brain Mapping, 2008
- A method for functional network connectivity among spatially independent resting-state components in schizophreniaNeuroImage, 2008
- Temporal lobe and “default” hemodynamic brain modes discriminate between schizophrenia and bipolar disorderHuman Brain Mapping, 2007