The problem of low variance voxels in statistical parametric mapping; a new hat avoids a 'haircut'

NeuroImage

Volumn 59, Issue 3, 2012, Pages 2131-2141

  Ridgway, Gerard R ^a   Litvak, Vladimir ^a   Flandin, Guillaume ^a   Friston, Karl J ^a   Penny, Will D ^a  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

EEG; Low variance; MEG; Source reconstruction; SPM; VBM

Indexed keywords

ARTICLE; BRAIN ATROPHY; DEMENTIA; FUNCTIONAL MAGNETIC RESONANCE IMAGING; GRAY MATTER; HUMAN; IMAGE ANALYSIS; MAGNETOENCEPHALOGRAPHY; POSTERIOR CINGULATE; PRECUNEUS; PRIORITY JOURNAL; SIGNAL NOISE RATIO; SIMULATION; STATISTICAL ANALYSIS; STATISTICAL PARAMETRIC MAPPING; STATISTICAL SIGNIFICANCE; TEMPORAL LOBE; THEORY; VOXEL BASED MORPHOMETRY; WHITE MATTER;

ALGORITHMS; BRAIN; BRAIN MAPPING; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; ELECTROENCEPHALOGRAPHY; HEAD; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MAGNETOENCEPHALOGRAPHY; MODELS, STATISTICAL; POSITRON-EMISSION TOMOGRAPHY; SIGNAL-TO-NOISE RATIO; SOFTWARE;

EID: 84855456950     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2011.10.027     Document Type: Article

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