Evidence map›Paper›PMID 40830555›Full record

ArticleScientific reports2025

Transcranial static magnetic field stimulation over human middle temporal complex reduces spatial accuracy of continuous visuomotor performance.

Ayaka Takami, Takaaki Komiyama, Satoshi Shimegi

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

3 authors.

Ayaka TakamiCenter for Education in Liberal Arts and Sciences, Osaka University, 1-16 Machikaneyama, Toyonaka, Osaka, 560-0043, Japan.
Takaaki KomiyamaCenter for Education in Liberal Arts and Sciences, Osaka University, 1-16 Machikaneyama, Toyonaka, Osaka, 560-0043, Japan.
Satoshi ShimegiCenter for Education in Liberal Arts and Sciences, Osaka University, 1-16 Machikaneyama, Toyonaka, Osaka, 560-0043, Japan. shimegi.satoshi.celas@osaka-u.ac.jp.

Funding

JST SPRING JPMJSP2138KAKENHI JP20H04077KAKENHI JP24K20563
6 · The paper itself

Abstract

The continuous visuomotor (CVM) performance of ball-sport athletes like table tennis players relies heavily on visual motion discriminability in a visual field-dependent manner. This discriminability reflects the cortical excitability of the motion-sensitive human middle temporal complex (hMT +). Therefore, hMT + excitability may play a critical role in determining CVM performance, but direct evidence supporting this relationship remains limited. In this study, we examined whether applying transcranial static magnetic field stimulation (tSMS), which reduces cortical excitability, over hMT + impairs CVM performance in table tennis players. Twenty table tennis players performed a CVM task requiring them to modulate their prehensile force on a force sensor to control a cursor to hit balls moving continuously from right to left on a screen. The task was performed both before (Pre-test) and during (During-test) tSMS application over the left hMT + . Since participants captured the moving target information in the right visual hemifield and processed it in the left hMT + , we hypothesized that reducing hMT + excitability would impair performance. Results showed a significant deterioration in the spatial accuracy of the cursor movements during the During-test compared to the Pre-test. These findings suggest that hMT + excitability is crucial for maintaining the spatial accuracy of CVM performance.

Indexed as

Psychomotor PerformanceTemporal LobeTranscranial Magnetic StimulationAdultFemaleHumansMaleMotion PerceptionVisual FieldsYoung Adult

Identifiers

PMID40830555
PMCPMC12365198

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.