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Recent progress and outstanding issues in motion correction in resting state fMRI.静息态功能磁共振成像中运动校正的最新进展与突出问题
Neuroimage. 2015 Jan 15;105:536-51. doi: 10.1016/j.neuroimage.2014.10.044. Epub 2014 Oct 24.
2
Individual differences in impulsivity predict head motion during magnetic resonance imaging.冲动性的个体差异可预测磁共振成像期间的头部运动。
PLoS One. 2014 Aug 22;9(8):e104989. doi: 10.1371/journal.pone.0104989. eCollection 2014.
3
Heritability of head motion during resting state functional MRI in 462 healthy twins.462名健康双胞胎静息态功能磁共振成像期间头部运动的遗传度
Neuroimage. 2014 Nov 15;102 Pt 2(0 2):424-34. doi: 10.1016/j.neuroimage.2014.08.010. Epub 2014 Aug 13.
4
Neurobiological basis of head motion in brain imaging.脑成像中头部运动的神经生物学基础。
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Appetite. 2014 Jul;78:63-7. doi: 10.1016/j.appet.2014.02.013. Epub 2014 Mar 17.
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Influence of age, sex and genetic factors on the human brain.年龄、性别和遗传因素对人脑的影响。
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Genetic basis of neurocognitive decline and reduced white-matter integrity in normal human brain aging.正常人大脑衰老中神经认知能力下降和白质完整性降低的遗传基础。
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The WU-Minn Human Connectome Project: an overview.《WU-Minn 人类连接组计划:概述》。
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An improved framework for confound regression and filtering for control of motion artifact in the preprocessing of resting-state functional connectivity data.一种改进的框架,用于在静息态功能连接数据预处理中进行混杂回归和滤波,以控制运动伪影。
Neuroimage. 2013 Jan 1;64:240-56. doi: 10.1016/j.neuroimage.2012.08.052. Epub 2012 Aug 25.

共享的遗传因素影响 MRI 期间的头部运动和体重指数。

Shared Genetic Factors Influence Head Motion During MRI and Body Mass Index.

机构信息

Department of Psychiatry, Yale University School of Medicine, 300 George Street, New Haven, CT 06511, USA.

Department of Psychology , Stanford University, Jordan Hall Building 01-420, 450 Serra Mall, Stanford, CA 94305, USA.

出版信息

Cereb Cortex. 2017 Dec 1;27(12):5539-5546. doi: 10.1093/cercor/bhw321.

DOI:10.1093/cercor/bhw321
PMID:27744290
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6075600/
Abstract

Head movements are typically viewed as a nuisance to functional magnetic resonance imaging (fMRI) analysis, and are particularly problematic for resting state fMRI. However, there is growing evidence that head motion is a behavioral trait with neural and genetic underpinnings. Using data from a large randomly ascertained extended pedigree sample of Mexican Americans (n = 689), we modeled the genetic structure of head motion during resting state fMRI and its relation to 48 other demographic and behavioral phenotypes. A replication analysis was performed using data from the Human Connectome Project, which uses an extended twin design (n = 864). In both samples, head motion was significantly heritable (h2 = 0.313 and 0.427, respectively), and phenotypically correlated with numerous traits. The most strongly replicated relationship was between head motion and body mass index, which showed evidence of shared genetic influences in both data sets. These results highlight the need to view head motion in fMRI as a complex neurobehavioral trait correlated with a number of other demographic and behavioral phenotypes. Given this, when examining individual differences in functional connectivity, the confounding of head motion with other traits of interest needs to be taken into consideration alongside the critical important of addressing head motion artifacts.

摘要

头部运动通常被视为功能磁共振成像(fMRI)分析的干扰因素,特别是对静息态 fMRI 而言。然而,越来越多的证据表明,头部运动是一种具有神经和遗传基础的行为特征。本研究使用来自墨西哥裔美国人大型随机确定的扩展家系样本(n = 689)的数据,对静息态 fMRI 期间头部运动的遗传结构及其与其他 48 个人口统计学和行为表型的关系进行建模。使用人类连接组计划的数据(n = 864)进行了重复分析,该计划采用了扩展的双胞胎设计。在两个样本中,头部运动均具有显著的遗传性(h2 = 0.313 和 0.427),并且与许多表型相关。相关性最强的是头部运动与体重指数之间的关系,这表明在两个数据集之间存在共享遗传影响的证据。这些结果强调需要将 fMRI 中的头部运动视为与许多其他人口统计学和行为表型相关的复杂神经行为特征。考虑到这一点,在检查功能连接的个体差异时,需要考虑头部运动与其他感兴趣的特征的混杂因素,同时还需要解决头部运动伪影的重要问题。