A comprehensive assessment of regional variation in the impact of head micromovements on functional connectomics

	A comprehensive assessment of regional variation in the impact of head micromovements on functional connectomics
	Yan, Chao-Gan1,2,3 ; Cheung, Brian 2; Kelly, Clare 3; Colcombe, Stan 1; Craddock, R. Cameron 2,4; Di Martino, Adriana 3; Li, Qingyang 2; Zuo, Xi-Nian5 ; Castellanos, F. Xavier 1,3; Milham, Michael P.1,2
摘要	Functional 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.
关键词	Head motion correction Resting-state fMRI Voxel-wise movement Test retest reliability Functional connectomics
	2013-08-01
语种	英语
发表期刊	NEUROIMAGE
卷号	76 期号:1 页码:183-201
期刊论文类型	Article
收录类别	SCI
WOS关键词	PROSPECTIVE MOTION CORRECTION ; FMRI TIME-SERIES ; INDEPENDENT COMPONENT ANALYSIS ; RESTING-STATE FMRI ; HUMAN BRAIN ; CONNECTIVITY MRI ; GLOBAL SIGNAL ; NOISE CORRECTION ; NETWORKS ; REGRESSION
WOS标题词	Science & Technology ; Life Sciences & Biomedicine
WOS研究方向	Neurosciences & Neurology ; Radiology, Nuclear Medicine & Medical Imaging
WOS类目	Neurosciences ; Neuroimaging ; Radiology, Nuclear Medicine & Medical Imaging
WOS记录号	WOS:000319090300019
引用统计	被引频次：1166[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.psych.ac.cn/handle/311026/10844
专题	中国科学院行为科学重点实验室
作者单位	1.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
推荐引用方式 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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