Hidden Markov multiple event sequence models: A paradigm for the spatio-temporal analysis of fMRI data

Medical Image Analysis

Volumn 11, Issue 1, 2007, Pages 1-20

  Faisan, S ^a,b   Thoraval, L ^a   Armspach, J P ^b   Heitz, F ^a  

^a UNIVERSITÉ DE STRASBOURG   (France)

^b Faculty of Medicine   (France)

Author keywords

Brain mapping; Data fusion; Functional MRI; Hidden Markov models; Multidimensional signal processing

Indexed keywords

BRAIN; HEMODYNAMICS; MAGNETIC RESONANCE IMAGING; MARKOV PROCESSES; MATHEMATICAL MODELS; SIGNAL PROCESSING; STATISTICAL METHODS;

BRAIN MAPPING; HEMODYNAMIC RESPONSE FUNCTION; HIDDEN MARKOV MULTIPLE EVENT SEQUENCE MODELS; MULTIDIMENSIONAL SIGNAL PROCESSING; STATISTICAL PARAMETRIC MAPPING;

MEDICAL IMAGING;

ADULT; ARTICLE; ATTENTION; AUDITORY STIMULATION; BRAIN FUNCTION; BRAIN MAPPING; BRAIN REGION; CONTROLLED STUDY; EVENT RELATED POTENTIAL; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HEMODYNAMICS; HIDDEN MARKOV MODEL; HUMAN; HUMAN EXPERIMENT; IMAGE ANALYSIS; IMAGE PROCESSING; MATHEMATICAL ANALYSIS; NORMAL HUMAN; PRIORITY JOURNAL; PROBABILITY; SIGNAL PROCESSING; STIMULUS RESPONSE; TASK PERFORMANCE;

ADOLESCENT; ADULT; ALGORITHMS; ARTIFICIAL INTELLIGENCE; BRAIN; COMPUTER SIMULATION; EVOKED POTENTIALS, AUDITORY; FEMALE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; MALE; MARKOV CHAINS; MODELS, NEUROLOGICAL; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; PHANTOMS, IMAGING; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 33846811576     PISSN: 13618415     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.media.2006.09.003     Document Type: Article

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