ICA-AROMA: A robust ICA-based strategy for removing motion artifacts from fMRI data

NeuroImage

Volumn 112, Issue , 2015, Pages 267-277

  Pruim, Raimon H R ^a,b   Mennes, Maarten ^a,b   van Rooij, Daan ^b,c   Llera, Alberto ^b   Buitelaar, Jan K ^a,b,d   Beckmann, Christian F ^a,b,e  

^a RADBOUD UNIVERSITY   (Netherlands)

^b RADBOUD UNIVERSITY NIJMEGEN   (Netherlands)

^c UNIVERSITY MEDICAL CENTER GRONINGEN   (Netherlands)

^d RADBOUD UNIVERSITY MEDICAL CENTER   (Netherlands)

^e UNIVERSITY OF OXFORD   (United Kingdom)

Author keywords

Artifact; Connectivity; Functional MRI; Independent component analysis; Motion; Resting state

Indexed keywords

ALGORITHM; ARTIFACT; ARTIFICIAL INTELLIGENCE; CEREBROSPINAL FLUID; HUMAN; IMAGE PROCESSING; MOTION; NUCLEAR MAGNETIC RESONANCE IMAGING; PHYSIOLOGY; PRINCIPAL COMPONENT ANALYSIS; PROCEDURES; REPRODUCIBILITY; REST; STATISTICS AND NUMERICAL DATA;

ALGORITHMS; ARTIFACTS; ARTIFICIAL INTELLIGENCE; CEREBROSPINAL FLUID; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MOTION; PRINCIPAL COMPONENT ANALYSIS; REPRODUCIBILITY OF RESULTS; REST;

EID: 84933042676     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2015.02.064     Document Type: Article

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