A wavelet method for modeling and despiking motion artifacts from resting-state fMRI time series

NeuroImage

Volumn 95, Issue , 2014, Pages 287-304

  Patel, Ameera X ^a   Kundu, Prantik ^a,b   Rubinov, Mikail ^a,c   Jones, P Simon ^a   Vértes, Petra E ^a   Ersche, Karen D ^a   Suckling, John ^a   Bullmore, Edward T ^a  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^b NATIONAL INSTITUTES OF HEALTH   (United States)

^c CHURCHILL COLLEGE   (United Kingdom)

Author keywords

Artifact; Connectivity; Despike; FMRI; Motion; Non stationary; Resting state; Spike; Wavelet

Indexed keywords

CENTRAL STIMULANT AGENT;

ADULT; ALGORITHM; ARTICLE; ARTIFACT; CHILD; CLINICAL ARTICLE; COHORT ANALYSIS; DRUG DEPENDENCE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HEAD MOVEMENT; HUMAN; IMAGE PROCESSING; NUCLEAR MAGNETIC RESONANCE SCANNER; PRIORITY JOURNAL; SPIKE; BRAIN MAPPING; FEMALE; MALE; MOTION; NUCLEAR MAGNETIC RESONANCE IMAGING; PROCEDURES;

ADULT; ARTIFACTS; BRAIN MAPPING; CHILD; FEMALE; HEAD MOVEMENTS; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; MOTION;

EID: 84901302803     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2014.03.012     Document Type: Article

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