A hemodynamic model for layered BOLD signals

NeuroImage

Volumn 125, Issue , 2016, Pages 556-570

  Heinzle, Jakob ^a   Koopmans, Peter J ^b   den Ouden, Hanneke E M ^c   Raman, Sudhir ^a   Stephan, Klaas Enno ^a,d,e  

^a UNIVERSITY OF ZURICH   (Switzerland)

^b UNIVERSITY OF OXFORD   (United Kingdom)

^c RADBOUD UNIVERSITY   (Netherlands)

^d UNIVERSITY COLLEGE LONDON   (United Kingdom)

^e MAX PLANCK INSTITUTE FOR NEUROLOGICAL RESEARCH   (Germany)

Author keywords

Bayesian model comparison; Cortical layers; Dynamic causal modeling; FMRI; Predictive coding

Indexed keywords

DEOXYHEMOGLOBIN; OXYGEN;

ARTICLE; BAYES THEOREM; BOLD SIGNAL; BRAIN BLOOD FLOW; BRAIN BLOOD VOLUME; CONTRAST TO NOISE RATIO; FEASIBILITY STUDY; FUNCTIONAL MAGNETIC RESONANCE IMAGING; FUNCTIONAL NEUROIMAGING; HEMODYNAMICS; HUMAN; INTERMETHOD COMPARISON; MATHEMATICAL MODEL; MOTOR CORTEX; NERVE CELL NETWORK; NONHUMAN; PRIORITY JOURNAL; QUALITATIVE ANALYSIS; SIGNAL NOISE RATIO; VALIDATION PROCESS; VISUAL CORTEX; ALGORITHM; BIOLOGICAL MODEL; BLOOD; BRAIN; BRAIN MAPPING; IMAGE PROCESSING; NUCLEAR MAGNETIC RESONANCE IMAGING; PHYSIOLOGY; PROCEDURES; THEORETICAL MODEL; VASCULARIZATION;

ALGORITHMS; BRAIN; BRAIN MAPPING; HEMODYNAMICS; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MODELS, NEUROLOGICAL; MODELS, THEORETICAL; OXYGEN;

EID: 84946200391     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2015.10.025     Document Type: Article

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