Bayesian comparison of neurovascular coupling models using EEG-fmRI

PLoS Computational Biology

Volumn 7, Issue 6, 2011, Pages

  Rosa, Maria J ^a   Kilner, James M ^a   Penny, Will D ^a  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN; ELECTROENCEPHALOGRAPHY; FUNCTIONAL NEUROIMAGING; MAGNETIC RESONANCE IMAGING; NEURONS;

BAYESIAN; BLOOD OXYGENATION LEVEL DEPENDENT; BLOOD OXYGENATION LEVEL DEPENDENT SIGNALS; COUPLING MECHANISM; FIRING RATES; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN BRAIN; NEURO-VASCULAR COUPLING; NEURONAL ACTIVITIES; NEURONAL FIRINGS;

BAYESIAN NETWORKS;

ARTICLE; BAYES THEOREM; BOLD SIGNAL; COMPARATIVE STUDY; CONTROLLED STUDY; ELECTROENCEPHALOGRAM; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; MALE; MATHEMATICAL MODEL; NERVE CONDUCTION; NERVE STIMULATION; NEUROIMAGING; PREDICTION; SPIKE WAVE; SYNAPTIC POTENTIAL; TASK PERFORMANCE; VISUAL CORTEX; VISUAL STIMULATION; ACTION POTENTIAL; ADULT; BIOLOGICAL MODEL; ELECTROENCEPHALOGRAPHY; HISTOLOGY; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; OXIMETRY; PHOTOSTIMULATION; PHYSIOLOGY; SIGNAL PROCESSING; SYNAPSE;

ACTION POTENTIALS; ADULT; BAYES THEOREM; ELECTROENCEPHALOGRAPHY; HUMANS; MAGNETIC RESONANCE IMAGING; MALE; MODELS, CARDIOVASCULAR; MODELS, NEUROLOGICAL; OXIMETRY; PHOTIC STIMULATION; SIGNAL PROCESSING, COMPUTER-ASSISTED; SYNAPSES; VISUAL CORTEX;

EID: 79959826364     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1002070     Document Type: Article

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