Network discovery with DCM

NeuroImage

Volumn 56, Issue 3, 2011, Pages 1202-1221

  Friston, Karl J ^a   Li, Baojuan ^a,c   Daunizeau, Jean ^a,b   Stephan, Klaas E ^a,b  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

^b UNIVERSITY OF ZURICH   (Switzerland)

^c NATIONAL UNIVERSITY OF DEFENSE TECHNOLOGY   (China)

Author keywords

Bayesian; Connectivity; Dynamic Causal Modelling; FMRI; Generalised Filtering; Neuronal; Random differential equations; Resting state; Stochastic

Indexed keywords

ARTICLE; BAYES THEOREM; BRAIN FUNCTION; BRAIN REGION; CONTROLLED STUDY; DYNAMIC CAUSAL MODELLING; EVOKED CORTICAL RESPONSE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; NERVE CELL NETWORK; PRIORITY JOURNAL; PROBABILITY; STATISTICAL MODEL; TASK PERFORMANCE; THEORETICAL MODEL; TIME SERIES ANALYSIS;

ALGORITHMS; BAYES THEOREM; BRAIN MAPPING; CAUSALITY; COMPUTER SIMULATION; HEMODYNAMICS; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MODELS, NEUROLOGICAL; MODELS, STATISTICAL; MOTION PERCEPTION; NERVE NET; NORMAL DISTRIBUTION; STOCHASTIC PROCESSES; VISUAL PERCEPTION;

EID: 79955473472     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2010.12.039     Document Type: Article

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