An fMRI study on the generalization of motor learning after brain actuated supernumerary robot training.

IF 3.6 1区 心理学 Q1 EDUCATION & EDUCATIONAL RESEARCH
Yuan Liu, Shuaifei Huang, Weiguo Xu, Zhuang Wang, Dong Ming
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Abstract

Generalization is central to motor learning. However, few studies are on the learning generalization of BCI-actuated supernumerary robotic finger (BCI-SRF) for human-machine interaction training, and no studies have explored its longitudinal neuroplasticity mechanisms. Here, 20 healthy right-handed participants were recruited and randomly assigned to BCI-SRF group or inborn finger group (Finger) for 4-week training and measured by novel SRF-finger opposition sequences and multimodal MRI. After training, the BCI-SRF group showed 350% times compared to the Finger group in the improvement of sequence opposition accuracy before and after training, and accompanied by significant functional connectivity increases in the sensorimotor region and prefrontal cortex, as well as in the intra- and inter-hemisphere of the sensorimotor network. Moreover, Granger Causality Analysis identified causal effect main transfer within the sensorimotor cortex-cerebellar-thalamus loop and frontal-parietal loop. The findings suggest that BCI-SRF training enhances motor sequence learning ability by influencing the functional reorganization of sensorimotor network.

关于脑驱动编外机器人训练后运动学习泛化的 fMRI 研究。
泛化是运动学习的核心。然而,关于脑机接口驱动的多余机械手指(BCI-SRF)在人机交互训练中的学习泛化研究很少,也没有研究探讨其纵向神经可塑性机制。本研究招募20名健康右撇子参与者,随机分为BCI-SRF组和先天手指组(finger)进行为期4周的训练,并通过新型srf -手指对立序列和多模态MRI进行测量。训练后,BCI-SRF组在训练前后序列对位准确性的提高是Finger组的350%,并伴有感觉运动区和前额叶皮层以及感觉运动网络半球内和半球间功能连通性的显著增加。此外,格兰杰因果分析发现,因果效应主要在感觉运动皮层-小脑-丘脑回路和额-顶叶回路内转移。研究结果表明,BCI-SRF训练通过影响感觉运动网络的功能重组来增强运动序列学习能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
5.40
自引率
7.10%
发文量
29
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