Evidence map›Paper›PMID 39738213›Full record

ArticleNPJ science of learning2024

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

Yuan Liu, Shuaifei Huang, Weiguo Xu, Zhuang Wang, Dong Ming

Abstract read
In one paragraph

Article in NPJ science of learning, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Yuan Liu *Academy of Medical Engineering and Translational Medicine (AMT), Tianjin University, Tianjin, China. ryanliu@tju.edu.cn.ORCID http://orcid.org/0000-0002-9703-7357
Shuaifei Huang *Academy of Medical Engineering and Translational Medicine (AMT), Tianjin University, Tianjin, China.
Weiguo XuTianjin Hospital, Tianjin University, Tianjin, China.
Zhuang WangAcademy of Medical Engineering and Translational Medicine (AMT), Tianjin University, Tianjin, China.
Dong MingAcademy of Medical Engineering and Translational Medicine (AMT), Tianjin University, Tianjin, China. richardming@tju.edu.cn.

Funding

National Natural Science Foundation of China (National Science Foundation of China) 62273251National Natural Science Foundation of China (National Science Foundation of China) 81925020Natural Science Foundation of Tianjin City (Natural Science Foundation of Tianjin) 21JCYBJC00520State Key Laboratory of Mechanical System and Vibration MSV202418
6 · The paper itself

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.

Identifiers

PMID39738213
PMCPMC11685389

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.