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A comprehensive assessment of regional variation in the impact of head micromovements on functional connectomics
Yan, Chao-Gan1,2,3; Cheung, Brian2; Kelly, Clare3; Colcombe, Stan1; Craddock, R. Cameron2,4; Di Martino, Adriana3; Li, Qingyang2; Zuo, Xi-Nian5; Castellanos, F. Xavier1,3; Milham, Michael P.1,2
2013-08-01
Source PublicationNEUROIMAGE
SubtypeArticle
Volume76Issue:1Pages:183-201
AbstractFunctional connectomics is one of the most rapidly expanding areas of neuroimaging research. Yet, concerns remain regarding the use of resting-state fMRI (R-fMRI) to characterize inter-individual variation in the functional connectome. In particular, recent findings that "micro" head movements can introduce artifactual inter-individual and group-related differences in R-fMRI metrics have raised concerns. Here, we first build on prior demonstrations of regional variation in the magnitude of framewise displacements associated with a given head movement, by providing a comprehensive voxel-based examination of the impact of motion on the BOLD signal (i.e., motion-BOLD relationships). Positive motion-BOLD relationships were detected in primary and supplementary motor areas, particularly in low motion datasets. Negative motion-BOLD relationships were most prominent in prefrontal regions, and expanded throughout the brain in high motion datasets (e.g., children). Scrubbing of volumes with FD > 0.2 effectively removed negative but not positive correlations; these findings suggest that positive relationships may reflect neural origins of motion while negative relationships are likely to originate from motion artifact. We also examined the ability of motion correction strategies to eliminate artifactual differences related to motion among individuals and between groups for a broad array of voxel-wise R-fMRI metrics. Residual relationships between motion and the examined R-fMRI metrics remained for all correction approaches, underscoring the need to covary motion effects at the group-level. Notably, global signal regression reduced relationships between motion and inter-individual differences in correlation-based R-fMRI metrics; Z-standardization (mean-centering and variance normalization) of subject-level maps for R-fMRI metrics prior to group-level analyses demonstrated similar advantages. Finally, our test-retest (TRT) analyses revealed significant motion effects on TRT reliability for R-fMRI metrics. Generally, motion compromised reliability of R-fMRI metrics, with the exception of those based on frequency characteristics particularly, amplitude of low frequency fluctuations (ALFF). The implications of our findings for decision-making regarding the assessment and correction of motion are discussed, as are insights into potential differences among volume-based metrics of motion. (C) 2013 Elsevier Inc. All rights reserved.
KeywordHead motion correction Resting-state fMRI Voxel-wise movement Test retest reliability Functional connectomics
Indexed BySCI
Language英语
WOS Research AreaNeurosciences & Neurology ; Radiology, Nuclear Medicine & Medical Imaging
WOS SubjectNeurosciences ; Neuroimaging ; Radiology, Nuclear Medicine & Medical Imaging
WOS IDWOS:000319090300019
WOS HeadingsScience & Technology ; Life Sciences & Biomedicine
WOS KeywordPROSPECTIVE MOTION CORRECTION ; FMRI TIME-SERIES ; INDEPENDENT COMPONENT ANALYSIS ; RESTING-STATE FMRI ; HUMAN BRAIN ; CONNECTIVITY MRI ; GLOBAL SIGNAL ; NOISE CORRECTION ; NETWORKS ; REGRESSION
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Document Type期刊论文
Identifierhttp://ir.psych.ac.cn/handle/311026/10844
Collection中国科学院行为科学重点实验室
Affiliation1.Nathan S Kline Inst Psychiat Res, Orangeburg, NY USA
2.Ctr Dev Brain, Child Mind Inst, New York, NY 10022 USA
3.NYU, Phyllis Green & Randolph Cowen Inst Pediat Neuros, Ctr Child Study, New York, NY USA
4.Virginia Tech Carillon Res Inst, Roanoke, VA USA
5.Chinese Acad Sci, Inst Psychol, Magnet Resonance Imaging Res Ctr, Key Lab Behav Sci,Lab Funct Connectome & Dev, Beijing 100101, Peoples R China
Recommended Citation
GB/T 7714
Yan, Chao-Gan,Cheung, Brian,Kelly, Clare,et al. A comprehensive assessment of regional variation in the impact of head micromovements on functional connectomics[J]. NEUROIMAGE,2013,76(1):183-201.
APA Yan, Chao-Gan.,Cheung, Brian.,Kelly, Clare.,Colcombe, Stan.,Craddock, R. Cameron.,...&Milham, Michael P..(2013).A comprehensive assessment of regional variation in the impact of head micromovements on functional connectomics.NEUROIMAGE,76(1),183-201.
MLA Yan, Chao-Gan,et al."A comprehensive assessment of regional variation in the impact of head micromovements on functional connectomics".NEUROIMAGE 76.1(2013):183-201.
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