Construct validation of a DCM for resting state fMRI

NeuroImage

Volumn 106, Issue , 2015, Pages 1-14

  Razi, Adeel ^a,b   Kahan, Joshua ^c   Rees, Geraint ^a,d   Friston, Karl J ^a  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

^b NED UNIVERSITY OF ENGINEERING AND TECHNOLOGY   (Pakistan)

^c UNIVERSITY COLLEGE LONDON   (United Kingdom)

^d UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

Bayesian; Dynamic causal modelling; Effective connectivity; FMRI; Functional connectivity; Graph; Network discovery; Resting state

Indexed keywords

ARTICLE; CAUSAL MODELING; CONSTRUCT VALIDITY; DEFAULT MODE NETWORK; DYNAMIC CAUSAL MODELING; FACE VALIDITY; FUNCTIONAL MAGNETIC RESONANCE IMAGING; MEASUREMENT ACCURACY; MONTE CARLO METHOD; RESTING STATE NETWORK; STOCHASTIC MODEL; ALGORITHM; BRAIN; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; CONNECTOME; EVALUATION STUDY; HUMAN; MARKOV CHAIN; NERVE CELL NETWORK; NUCLEAR MAGNETIC RESONANCE IMAGING; PHYSIOLOGY; PROCEDURES; REPRODUCIBILITY; REST; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL; VALIDATION STUDY;

ALGORITHMS; BRAIN; COMPUTER SIMULATION; CONNECTOME; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MODELS, STATISTICAL; NERVE NET; REPRODUCIBILITY OF RESULTS; REST; SENSITIVITY AND SPECIFICITY; STOCHASTIC PROCESSES;

EID: 84912122971     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2014.11.027     Document Type: Article

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