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

NPJ Sci Learn

Academy of Medical Engineering and Translational Medicine (AMT), Tianjin University, Tianjin, China.

Published: December 2024

AI Article Synopsis

  • Generalization is key in motor learning, yet research on BCI-actuated supernumerary robotic fingers (BCI-SRF) and their long-term neuroplastic effects is limited.
  • In a study with 20 right-handed participants, the BCI-SRF group showed a 350% improvement in finger opposition accuracy compared to the traditional finger group after 4 weeks of training.
  • This improvement was linked to increased functional connectivity in brain regions involved in motor control, suggesting that BCI-SRF training may enhance motor learning by reorganizing the sensorimotor network.

Article 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.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11685389PMC
http://dx.doi.org/10.1038/s41539-024-00294-yDOI Listing

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