A least angle regression method for fMRI activation detection in phase-encoded experimental designs

NeuroImage

Volumn 52, Issue 4, 2010, Pages 1390-1400

  Li, Xingfeng ^a,b   Coyle, Damien ^a   Maguire, Liam ^a   McGinnity, Thomas M ^a   Watson, David R ^a   Benali, Habib ^b  

^a UNIVERSITY OF ULSTER   (United Kingdom)

^b SORBONNE UNIVERSITÉ   (France)

Author keywords

Brain activation detection; Fast orthogonal search; FMRI time series; Least angle regression; Model selection

Indexed keywords

ADULT; ALGORITHM; ARTICLE; EXPERIMENTAL DESIGN; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HEMODYNAMICS; HUMAN; LINEAR REGRESSION ANALYSIS; NEUROIMAGING; PRIORITY JOURNAL; REGRESSION ANALYSIS; STATISTICAL MODEL;

ALGORITHMS; BRAIN; BRAIN MAPPING; DATA INTERPRETATION, STATISTICAL; EVOKED POTENTIALS; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INFORMATION STORAGE AND RETRIEVAL; MAGNETIC RESONANCE IMAGING; REGRESSION ANALYSIS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 77954958641     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2010.05.017     Document Type: Article

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