Multivariate dynamical systems-based estimation of causal brain interactions in fMRI: Group-level validation using benchmark data, neurophysiological models and human connectome project data
- 1 August 2016
- journal article
- research article
- Published by Elsevier in Journal of Neuroscience Methods
- Vol. 268, 142-153
Abstract
No abstract availableKeywords
Funding Information
- National Institutes of Health (1K25HD074652, NS071221)
- Li Ka Shing Foundation
This publication has 72 references indexed in Scilit:
- The Virtual Brain: a simulator of primate brain network dynamicsFrontiers in Neuroinformatics, 2013
- Multivariate dynamical systems models for estimating causal interactions in fMRINeuroImage, 2011
- Instantaneous and causal connectivity in resting state brain networks derived from functional MRI dataNeuroImage, 2011
- Identification and validation of effective connectivity networks in functional magnetic resonance imaging using switching linear dynamic systemsNeuroImage, 2010
- Effect of hemodynamic variability on Granger causality analysis of fMRINeuroImage, 2010
- Saliency, switching, attention and control: a network model of insula functionBrain Structure and Function, 2010
- Ten simple rules for dynamic causal modelingNeuroImage, 2010
- Object familiarity modulates effective connectivity during haptic shape perceptionNeuroImage, 2009
- Mapping and correction of vascular hemodynamic latency in the BOLD signalNeuroImage, 2008
- Effective connectivity during haptic perception: A study using Granger causality analysis of functional magnetic resonance imaging dataNeuroImage, 2008