A semi-parametric model of the hemodynamic response for multi-subject fMRI data

NeuroImage

Volumn 75, Issue , 2013, Pages 136-145

  Zhang, Tingting ^a   Li, Fan ^b   Beckes, Lane ^a   Coan, James A ^a  

^a UNIVERSITY OF VIRGINIA   (United States)

^b Duke University   (United States)

Author keywords

FMRI; GLM; Hemodynamic response function; Multi subject; Regularization; Smoothing; Spline

Indexed keywords

ADULT; ALGORITHM; ARTICLE; BRAIN FUNCTION; BRAIN RADIOGRAPHY; BRAIN REGION; BRAIN VOXEL; CONTROLLED STUDY; EMOTION; FEMALE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HEMODYNAMICS; HUMAN; HUMAN EXPERIMENT; INTERMETHOD COMPARISON; LATENT PERIOD; MALE; MATHEMATICAL MODEL; MODEL; NEUROIMAGING; NORMAL HUMAN; PRIORITY JOURNAL; SEMIPARAMETRIC MODEL; SIMULATION;

ALGORITHMS; BRAIN; BRAIN MAPPING; HEMODYNAMICS; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; LINEAR MODELS; MAGNETIC RESONANCE IMAGING; MODELS, NEUROLOGICAL;

EID: 84875785088     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2013.02.048     Document Type: Article

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