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运动对抑制控制中神经变化的影响:一项基于功能磁共振成像研究的ALE元分析

Effects of Exercise on Neural Changes in Inhibitory Control: An ALE Meta-Analysis of fMRI Studies.

作者信息

Wu Jinlong, Xiao Wen, Yip Joanne, Peng Li, Zheng Kangyong, Takyi Bentil Obed, Ren Zhanbing

机构信息

School of Physical Education, Shenzhen University, Shenzhen, China.

Institute of Textiles and Clothing, The Hong Kong Polytechnic University, Hong Kong, China.

出版信息

Front Hum Neurosci. 2022 Jun 24;16:891095. doi: 10.3389/fnhum.2022.891095. eCollection 2022.

Abstract

It is widely known that exercise improves inhibitory control; however, the mechanisms behind the cognitive improvement remain unclear. This study analyzes the extant literature on the neuronal effects of exercise on inhibitory control functions. We searched four online databases (Pubmed, Scopus, PsycINFO, and Web of Science) for relevant peer-reviewed studies to identify eligible studies published before September 1, 2021. Among the 4,090 candidate studies identified, 14 meet the inclusion criteria, and the results of 397 participants in these 14 studies are subsequently analyzed. We quantify the neural effects on the entire brain by using GingerALE software and identify 10 clusters of exercise-induced neuronal with either increases/decreases in the superior temporal gyrus (BA 22), precuneus (BA 7), superior frontal gyrus (BA 10), cuneus (BA 19), precuneus (BA 19), caudate, posterior cingulate (BA 19), middle temporal gyrus (B 37), parahippocampal gyrus (BA 30), precentral gyrus (BA 6). Meta-analytic coactivation map (MACM) showed that multiple functional networks overlap with brain regions with activation likelihood estimation (ALE) results. We propose the effect of exercise on neural activity is related to inhibitory control in the extended frontoparietal, default mode network (DMN), visual network, and other pathways. These results provide preliminary evidence of the neural effects of exercise on inhibitory control.

摘要

众所周知,运动可改善抑制控制能力;然而,认知改善背后的机制仍不清楚。本研究分析了关于运动对抑制控制功能的神经元效应的现有文献。我们在四个在线数据库(PubMed、Scopus、PsycINFO和Web of Science)中搜索了相关的同行评审研究,以确定2021年9月1日前发表的符合条件的研究。在确定的4090项候选研究中,14项符合纳入标准,随后对这14项研究中397名参与者的结果进行了分析。我们使用GingerALE软件量化对整个大脑的神经效应,并确定了10组运动诱导的神经元群,这些神经元群在颞上回(BA 22)、楔前叶(BA 7)、额上回(BA 10)、楔叶(BA 19)、楔前叶(BA 19)、尾状核、后扣带回(BA 19)、颞中回(B 37)、海马旁回(BA 30)、中央前回(BA 6)中出现增加或减少。元分析共激活图(MACM)显示,多个功能网络与激活可能性估计(ALE)结果的脑区重叠。我们提出,运动对神经活动的影响与扩展的额顶叶、默认模式网络(DMN)、视觉网络和其他通路中的抑制控制有关。这些结果为运动对抑制控制的神经效应提供了初步证据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a306/9265250/354169fe25e6/fnhum-16-891095-g0001.jpg

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