Stochastic dynamic causal modelling of fMRI data: Should we care about neural noise?

NeuroImage

Volumn 62, Issue 1, 2012, Pages 464-481

  Daunizeau, J ^a,b,c   Stephan, K E ^a,b   Friston, K J ^a  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

^b UNIVERSITY OF ZURICH   (Switzerland)

^c INSTITUT DU CERVEAU ET DE LA MOELLE ÉPINIÈRE   (France)

Author keywords

DCM; FMRI; Network; Neural noise; Nonlinear; State dependent coupling; State space; System identification

Indexed keywords

ABSENCE; ARTICLE; BRAIN REGION; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; MONTE CARLO METHOD; NERVE CELL; NEUROIMAGING; PRIORITY JOURNAL; SENSORY STIMULATION; SIMULATION; STOCHASTIC MODEL;

BRAIN MAPPING; COMPUTER SIMULATION; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MODELS, NEUROLOGICAL; MODELS, STATISTICAL; NERVE NET; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SIGNAL-TO-NOISE RATIO; STOCHASTIC PROCESSES;

EID: 84861668681     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2012.04.061     Document Type: Article

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