Suppr超能文献

在 4 周的运动技能学习过程中,运动系统的静息态网络会发生变化。

Changes occur in resting state network of motor system during 4 weeks of motor skill learning.

机构信息

Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center, Houston, TX 77054, USA.

出版信息

Neuroimage. 2011 Sep 1;58(1):226-33. doi: 10.1016/j.neuroimage.2011.06.014. Epub 2011 Jun 15.

Abstract

We tested whether the resting state functional connectivity of the motor system changed during 4 weeks of motor skill learning using functional magnetic resonance imaging (fMRI). Ten healthy volunteers learned to produce a sequential finger movement by daily practice of the task over a 4 week period. Changes in the resting state motor network were examined before training (Week 0), two weeks after the onset of training (Week 2), and immediately at the end of the training (Week 4). The resting state motor system was analyzed using group independent component analysis (ICA). Statistical Parametric Mapping (SPM) second-level analysis was conducted on independent z-maps generated by the group ICA. Three regions, namely right postcentral gyrus, and bilateral supramarginal gyri were found to be sensitive to the training duration. Specifically, the strength of resting state functional connectivity in the right postcentral gyrus and right supramarginal gyrus increased from Week 0 to Week 2, during which the behavioral performance improved significantly, and decreased from Week 2 to Week 4, during which there was no more significant improvement in behavioral performance. The strength of resting state functional connectivity in left supramarginal gyrus increased throughout the training. These results confirm changes in the resting state network during slow-learning stage of motor skill learning, and support the premise that the resting state networks play a role in improving performance.

摘要

我们使用功能磁共振成像(fMRI)来测试在 4 周的运动技能学习过程中,运动系统的静息状态功能连接是否发生变化。10 名健康志愿者在 4 周的时间内通过每天练习该任务来学习产生顺序手指运动。在训练前(第 0 周)、训练开始两周后(第 2 周)和训练结束时(第 4 周)检查静息状态运动网络的变化。使用组独立成分分析(ICA)分析静息状态运动系统。对组 ICA 生成的独立 z 映射进行统计参数映射(SPM)二级分析。发现三个区域,即右侧中央后回和双侧缘上回,对训练持续时间敏感。具体来说,右侧中央后回和右侧缘上回的静息状态功能连接强度从第 0 周增加到第 2 周,在此期间行为表现显著提高,而从第 2 周增加到第 4 周,行为表现没有进一步显著提高。左侧缘上回的静息状态功能连接强度在整个训练过程中增加。这些结果证实了运动技能学习慢学习阶段静息状态网络的变化,并支持了静息状态网络在提高表现中发挥作用的前提。

相似文献

2

引用本文的文献

8
Network-based statistics distinguish anomic and Broca's aphasia.基于网络的统计数据区分了命名性失语症和布罗卡失语症。
Brain Struct Funct. 2024 Dec;229(9):2237-2253. doi: 10.1007/s00429-023-02738-4. Epub 2023 Dec 30.

本文引用的文献

4
Right parietal dominance in spatial egocentric discrimination.右侧顶叶在空间自我中心辨别中的优势。
Neuroimage. 2011 Mar 15;55(2):635-43. doi: 10.1016/j.neuroimage.2010.12.011. Epub 2010 Dec 13.
6
Clinical applications of resting state functional connectivity.静息态功能连接的临床应用。
Front Syst Neurosci. 2010 Jun 17;4:19. doi: 10.3389/fnsys.2010.00019. eCollection 2010.
8
Group ICA of resting-state data: a comparison.基于静息态数据的组独立成分分析:比较研究
MAGMA. 2010 Dec;23(5-6):317-25. doi: 10.1007/s10334-010-0212-0. Epub 2010 Jun 3.
9
Exploring the brain network: a review on resting-state fMRI functional connectivity.探索大脑网络:静息态 fMRI 功能连接的综述。
Eur Neuropsychopharmacol. 2010 Aug;20(8):519-34. doi: 10.1016/j.euroneuro.2010.03.008. Epub 2010 May 14.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验