Evidence map›Paper›PMID 42135351›Full record

ArticleScientific reports2026

Role of interpersonal tactile and visual interaction in modulating postural sway and enhancing stability.

Daiju Ikawa, Akito Miura, Kohei Miyata, Kazutoshi Kudo

Abstract read
In one paragraph

Article in Scientific reports, 2026. 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
–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

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

4 authors.

Daiju IkawaDepartment of Occupational Therapy, School of Rehabilitation, Tokyo Professional University of Health Sciences, 2-22-10, Shiohama, Koto, 135-0043, Tokyo, Japan. ikawa-daiju@spu.ac.jp.
Akito MiuraFaculty of Human Sciences, Waseda University, Tokorozawa, Saitama, Japan.
Kohei MiyataCenter for Brain Science, RIKEN, Wako, Saitama, Japan.
Kazutoshi KudoDepartment of Life Sciences, Graduate School of Arts and Sciences, The University of Tokyo, 3-8-1, Komaba, Meguro, 153-8902, Tokyo, Japan. kudo@idaten.c.u-tokyo.ac.jp.

Funding

Japan Society for the Promotion of Science 24K02825 and 25H01237
6 · The paper itself

Abstract

Manual support and interpersonal interaction can enhance postural stability during upright standing, yet it remains unclear how tactile and visual interactions influence the temporal organization of postural control. We used a 2 × 2 factorial design manipulating interpersonal touch (Touch vs. No Touch) and partner visibility (Visible vs. Invisible) while participants stood quietly in pairs. Center-of-pressure velocity time series were analyzed using linear and nonlinear methods, including recurrence quantification analysis (RQA) and detrended fluctuation analysis (DFA). Both tactile interaction and partner visibility were associated with reduced sway magnitude, with no significant interaction between modalities. Nonlinear analyses revealed that tactile interaction was associated with reduced recurrence and lower DFA scaling exponents across timescales, indicating altered temporal organization. Visual coupling influenced recurrence measures and longer-timescale structure but did not significantly affect short-timescale scaling. These findings suggest that tactile and visual interactions contribute additively to sway reduction, yet are associated with distinct patterns of temporal organization in postural control.

Indexed as

Interpersonal RelationsPostural BalanceTouchVisual PerceptionAdultFemaleHumansMaleYoung AdultDetrended fluctuation analysisInterpersonal touchPostural stabilityRecurrence quantification analysisSensory information

Identifiers

PMID42135351
PMCPMC13369885

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.