Deconvolving BOLD activation in event-related designs for multivoxel pattern classification analyses

NeuroImage

Volumn 59, Issue 3, 2012, Pages 2636-2643

  Mumford, Jeanette A ^a   Turner, Benjamin O ^b   Ashby, F Gregory ^b   Poldrack, Russell A ^a  

^a UNIVERSITY OF TEXAS AT AUSTIN   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Beta series estimation; Classification analysis; Functional magnetic resonance imaging; MVPA; Rapid event related design

Indexed keywords

ACCURACY; ARTICLE; BOLD SIGNAL; CONTROLLED STUDY; DATA ANALYSIS; EVENT RELATED DESIGN; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; HUMAN EXPERIMENT; IMAGE ANALYSIS; MULTIVOXEL PATTERN ANALYSIS; NERVOUS SYSTEM PARAMETERS; NORMAL HUMAN; PRIORITY JOURNAL; PROCESS OPTIMIZATION; SIGNAL NOISE RATIO; SIMULATION; STATISTICAL MODEL; STIMULUS RESPONSE;

COGNITION; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; EVOKED POTENTIALS; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; LINEAR MODELS; LOGISTIC MODELS; MAGNETIC RESONANCE IMAGING; MODELS, NEUROLOGICAL; OXYGEN; PSYCHOMOTOR PERFORMANCE; READING; REGRESSION ANALYSIS; REPRODUCIBILITY OF RESULTS; SIGNAL-TO-NOISE RATIO;

EID: 84855430105     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2011.08.076     Document Type: Article

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