Testing for spatial heterogeneity in functional MRI using the multivariate general linear model

IEEE Transactions on Medical Imaging

Volumn 30, Issue 6, 2011, Pages 1293-1302

  Leech, Robert ^a   Leech, Dennis ^b  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

^b UNIVERSITY OF WARWICK   (United Kingdom)

Author keywords

Functional magnetic resonance imaging (fMRI); general linear model; multivoxel pattern analysis; spatial heterogeneity

Indexed keywords

ALZHEIMER'S DISEASE; DATA SETS; FMRI DATA; FMRI-ANALYSIS; FUNCTIONAL MAGNETIC RESONANCE IMAGING; FUNCTIONAL MRI; GENERAL LINEAR MODEL; GENERAL LINEAR MODELS; MACHINE-LEARNING; MULTIVARIATE MODELS; MULTIVOXEL PATTERN ANALYSIS; NEURAL SIGNALS; PATTERN CLASSIFIER; SPATIAL HETEROGENEITY; SPATIAL PATTERNS; STATISTICAL MEASURES; TEMPORAL FLUCTUATION; UNIVARIATE;

MAXIMUM LIKELIHOOD ESTIMATION; RESONANCE; SPATIAL DISTRIBUTION; STATISTICAL TESTS;

MAGNETIC RESONANCE IMAGING;

ADULT; ARTICLE; BIOLOGICAL MODEL; BRAIN; BRAIN MAPPING; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; EVOKED RESPONSE; HUMAN; MALE; METHODOLOGY; MULTIVARIATE ANALYSIS; NUCLEAR MAGNETIC RESONANCE IMAGING; PHYSIOLOGY; STATISTICAL MODEL;

ADULT; BRAIN; BRAIN MAPPING; COMPUTER SIMULATION; EVOKED POTENTIALS; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; LINEAR MODELS; MAGNETIC RESONANCE IMAGING; MALE; MODELS, NEUROLOGICAL; MULTIVARIATE ANALYSIS;

EID: 79957979600     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2011.2114361     Document Type: Article

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