Journal
NEUROIMAGE
Volume 64, Issue -, Pages 240-256Publisher
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.neuroimage.2012.08.052
Keywords
Motion; Artifact; fMRI; Connectivity; Development; Adolescence; Network; Connectome; Resting-state
Funding
- National Institute of Mental Health [RC2MH089983, RC2MH089924]
- NIMH [T32 MH019112, MH085096]
- APIRE
- Brain & Behavior Research Foundation through the Marc Rapport Family Investigator Grant
- Brain & Behavior Research Foundation through the Sidney R. Baer, Jr. Foundation
- Human Brain Project [R01-MH074457-01A1]
- Helmholtz Initiative on Systems Biology (Human Brain Model)
- NATIONAL INSTITUTE OF MENTAL HEALTH [K23MH085096, K23MH098130, R01MH074457, T32MH019112, RC2MH089983, RC2MH089924] Funding Source: NIH RePORTER
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Several recent reports in large, independent samples have demonstrated the influence of motion artifact on resting-state functional connectivity MRI (rsfc-MRI). Standard rsfc-MRI preprocessing typically includes regression of confounding signals and band-pass filtering. However, substantial heterogeneity exists in how these techniques are implemented across studies, and no prior study has examined the effect of differing approaches for the control of motion-induced artifacts. To better understand how in-scanner head motion affects rsfc-MRI data, we describe the spatial, temporal, and spectral characteristics of motion artifacts in a sample of 348 adolescents. Analyses utilize a novel approach for describing head motion on a voxelwise basis. Next, we systematically evaluate the efficacy of a range of confound regression and filtering techniques for the control of motion-induced artifacts. Results reveal that the effectiveness of preprocessing procedures on the control of motion is heterogeneous, and that improved preprocessing provides a substantial benefit beyond typical procedures. These results demonstrate that the effect of motion on rsfc-MRI can be substantially attenuated through improved preprocessing procedures, but not completely removed. (C) 2012 Elsevier Inc. All rights reserved.
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