Head Motion and Correction Methods in Resting-state Functional MRI.
Head Motion and Correction Methods in Resting-state Functional MRI.
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DOI：
10.2463/mrms.rev.2015-0060
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发表时间：
2016
期刊：
影响因子：
--
通讯作者：
Takeda T
中科院分区：
文献类型：
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作者：
Goto M;Abe O;Miyati T;Yamasue H;Gomi T;Takeda T
静息状态功能磁共振成像(RS-fMRI)用于研究静息状态下脑功能的连通性。然而，人体生理运动的噪声是与这项技术相关的一个尚未解决的问题。在先前通过RS-fMRI发现对照组和患者组头部运动的差异导致组内静息状态网络差异的意外结果之后，我们回顾了由受试者运动，特别是头部运动引起的人体生理噪声对RS-fMRI检测的静息功能连通性的影响。本研究的目的是回顾RS-fMRI的头部运动伪影，个体和患者群体头部运动的差异，以及RS-fMRI的头部运动伪影的矫正方法。许多报告描述了用于RS-fMRI运动校正的新方法[例如，擦洗、区域位移相互作用(RDI)]，其中许多方法已经成功地减少了这种负面影响。然而，这些已发表的技术中的任何一个都不能完全排除头部运动的影响。因此，在进行RS-fMRI研究时，参与者的头部运动应该用测量技术来量化(例如，帧移位)。开发一种更有效的校正方法将提高RS-fMRI分析的准确性。
Resting-state functional magnetic resonance imaging (RS-fMRI) is used to investigate brain functional connectivity at rest. However, noise from human physiological motion is an unresolved problem associated with this technique. Following the unexpected previous result that group differences in head motion between control and patient groups caused group differences in the resting-state network with RS-fMRI, we reviewed the effects of human physiological noise caused by subject motion, especially motion of the head, on functional connectivity at rest detected with RS-fMRI. The aim of the present study was to review head motion artifact with RS-fMRI, individual and patient population differences in head motion, and correction methods for head motion artifact with RS-fMRI. Numerous reports have described new methods [e.g., scrubbing, regional displacement interaction (RDI)] for motion correction on RS-fMRI, many of which have been successful in reducing this negative influence. However, the influence of head motion could not be entirely excluded by any of these published techniques. Therefore, in performing RS-fMRI studies, head motion of the participants should be quantified with measurement technique (e.g., framewise displacement). Development of a more effective correction method would improve the accuracy of RS-fMRI analysis.