Physiologically informed dynamic causal modeling of fMRI data

NeuroImage

Volumn 122, Issue , 2015, Pages 355-372

  Havlicek, Martin ^a,c   Roebroeck, Alard ^a   Friston, Karl ^b   Gardumi, Anna ^a   Ivanov, Dimo ^a   Uludag, Kamil ^a  

^a MAASTRICHT UNIVERSITY   (Netherlands)

^b UNIVERSITY COLLEGE LONDON   (United Kingdom)

^c NONE   (Netherlands)

Author keywords

BOLD signal; Dynamic causal modeling (DCM); Excitation inhibition; Feedforward neurovascular coupling; Hemodynamic model; Post stimulus undershoot

Indexed keywords

ADAPTIVE TWO STATE CONNECTIVITY MODEL; ARTICLE; BIOPHYSICS; BIOTRANSFORMATION; BOLD SIGNAL; BRAIN BLOOD FLOW; CONCEPTUAL FRAMEWORK; CONTROLLED STUDY; DEOXYGENATION; DYNAMIC CAUSAL MODEL; ELECTRIC POTENTIAL; ELECTROPHYSIOLOGY; FUNCTIONAL MAGNETIC RESONANCE IMAGING; FUNCTIONAL NEUROIMAGING; GABAERGIC TRANSMISSION; HEMODYNAMICS; HUMAN; HUMAN EXPERIMENT; IMAGE ANALYSIS; IMAGE PROCESSING; MATHEMATICAL MODEL; NEGATIVE FEEDBACK; NONHUMAN; NORMAL HUMAN; PHENOMENOLOGY; PRIORITY JOURNAL; SIMULATION; SINGLE STATE CONNECTIVITY MODEL; SYNAPTIC TRANSMISSION; BAYES THEOREM; BIOLOGICAL MODEL; BRAIN; BRAIN MAPPING; COMPUTER SIMULATION; NERVE CELL; NEUROVASCULAR COUPLING; NUCLEAR MAGNETIC RESONANCE IMAGING; PHYSIOLOGY; PROCEDURES; SIGNAL PROCESSING;

BAYES THEOREM; BRAIN; BRAIN MAPPING; COMPUTER SIMULATION; HEMODYNAMICS; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MODELS, NEUROLOGICAL; NEURONS; NEUROVASCULAR COUPLING; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 84940421813     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2015.07.078     Document Type: Article

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