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

• DOI: 10.1016/j.neuroimage.2014.03.012
• Publication Date: 2014-03-23T08:33:54Z
• Authors: Ameera X. Patel; Prantik Kundu; Mikail Rubinov; P. Simon Jones; Petra E. Vértes; Karen D. Ersche; John Suckling; Edward T. Bullmore
• Keywords: Despike; Adult; Male; 0301 basic medicine; Connectivity; Brain Mapping; Non-stationary; Cognitive Neuroscience; fMRI; Spike; Magnetic Resonance Imaging; Article; Resting-state; Motion; 03 medical and health sciences; Neurology; Head Movements; Artifact; Image Processing, Computer-Assisted; Humans; Female; Artifacts; Child; Wavelet

The impact of in-scanner head movement on functional magnetic resonance imaging (fMRI) signals has long been established as undesirable. These effects have traditionally corrected by methods such linear regression parameters. However, a number recent independent studies demonstrated that these techniques are insufficient to remove motion confounds, and even small movements can spuriously bias estimates connectivity. Here we propose new data-driven, spatially-adaptive, wavelet-based method for identifying, modeling, removing non-stationary events in fMRI time series, caused movement, without the need data scrubbing. This involves addition just one extra step, Wavelet Despike, standard pre-processing pipelines. With this method, demonstrate robust removal range different artifacts motion-related biases including distance-dependent connectivity artifacts, at group single-subject level, using previously published diagnostic measures. Despike is able accommodate substantial spatial temporal heterogeneity consequently high low frequency from may be linearly or non-linearly related physical movements. Our analysis three cohorts resting-state data, two high-motion datasets: dataset children (N=22) adults with stimulant drug dependence (N=40). We conclude there real risk but generally manageable, effective series denoising strategies designed attenuate synchronized signal transients induced abrupt Despiking software described article freely available download www.brainwavelet.org.