Bayesian vector autoregressive model for multi-subject effective connectivity inference using multi-modal neuroimaging data

Author:

Chiang Sharon1,Guindani Michele2,Yeh Hsiang J.3,Haneef Zulfi4,Stern John M.3,Vannucci Marina1

Affiliation:

1. Department of Statistics; Rice University; Houston Texas

2. Department of Biostatistics; The University of Texas MD Anderson Cancer Center; Houston Texas

3. Department of Neurology; University of California Los Angeles; Los Angeles California

4. Department of Neurology; Baylor College of Medicine; Houston Texas

Publisher

Wiley

Subject

Neurology (clinical),Neurology,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology,Anatomy

Reference98 articles.

1. Dynamics of activity and connectivity in physiological neuronal networks;Aertsen;Nonlinear Dyn Neuron Netw,1991

2. Bayesian analysis of binary and polychotomous response data;Albert;J Am Stat Assoc,1993

3. A baseline for the multivariate comparison of resting-state networks;Allen;Front Syst Neurosci,2011

4. Disruption of large-scale brain systems in advanced aging;Andrews-Hanna;Neuron,2007

5. Hierarchical Modeling and Analysis for Spatial Data

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