Evidence map›Paper›PMID 40078333›Full record

ArticleFrontiers in neuroergonomics2025

Construction and evaluation of a finger motor feedback system to improve finger dexterity.

Shingo Takahashi, Noriko Sakurai, Yuki Kuroiwa, Daishi Takahashi, Naoki Kodama

Abstract read
In one paragraph

Article in Frontiers in neuroergonomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Shingo TakahashiDepartment of Healthcare Informatics, Faculty of Health and Welfare, Takasaki University of Health and Welfare, Gunma, Japan.
Noriko SakuraiDepartment of Radiological Technology, Faculty of Medical Technology, Niigata University of Health and Welfare, Niigata, Japan.
Yuki KuroiwaDepartment of Healthcare Informatics, Faculty of Health and Welfare, Takasaki University of Health and Welfare, Gunma, Japan.
Daishi TakahashiDepartment of Healthcare Informatics, Faculty of Health and Welfare, Takasaki University of Health and Welfare, Gunma, Japan.
Naoki KodamaDepartment of Radiological Technology, Faculty of Medical Technology, Niigata University of Health and Welfare, Niigata, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Recently, a link has been established between cognitive function and hand dexterity in older adults. Declines in cognitive function have been shown to impair performance in finger tapping movements. Research suggest that hand training can improve dexterity, executive function, and cognitive function over time. This underscores the need for effective methods to improve hand and finger dexterity. Method: In this study, we introduced a new hand training system that provides real-time feedback on finger movements during tapping tasks. We examined the system's impact on the finger dexterity of 32 healthy young participants by using a magnetic sensor finger tapping device (UB-2). During the finger tapping task, the participants performed opening and closing movements either in-phase or anti-phase on both left and right hands for 15 s. They were instructed to tap as quickly as possible. The number of taps, left-right balance, and other relevant data were measured using the UB-2 device. Results: In terms of the number of tapping, a significant difference was found between 64.4 without feedback and 68.1 with feedback for the simultaneous opening and closing movements in the dominant hand. In the alternating open-close movement, the significant difference was 50.3 without feedback and 53.4 with feedback. The results showed that the system significantly improved the number and frequency of taps for both hands. Conclusion: The improved tapping performance with feedback suggests that this system can improve hand dexterity.

Indexed as

cognitive functiondexterityfeedbackfinger tappinghand training method

Identifiers

PMID40078333
PMCPMC11897288

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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.