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

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.

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Publication Details

Journal
npj Science of Learning
Published
2024-12-30
DOI
https://doi.org/10.1038/s41539-024-00294-y
Citations
5
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
1.71

Funders

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article

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

Shuaifei Huang, Dong Ming, Yuan Liu, Zhuang Wang et al.
5 citations
npj Science of Learning
EEG and Brain-Computer Interfaces
1.71
article

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

Shuaifei Huang, Dong Ming, Yuan Liu, Zhuang Wang, Weiguo Xu
article en
5 citations

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.

npj Science of LearningVol. 9(1)
Tianjin University (CN), Human Computer Interaction (Switzerland) (CH), Tianjin Hospital (CN), Tianjin Medical University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Tianjin City, State Key Laboratory of Mechanical System and Vibration, National Key Research and Development Program of China
Openalex Percentile: Top 15%
EEG and Brain-Computer Interfaces
1.71
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