Evidence map›Paper›PMID 41890974›Full record

ArticleiScience2026

Adaptation-dependent modulation of coordinated muscle activities in human gait adaptation as revealed by tensor decomposition.

Ken Takiyama, Hikaru Yokoyama, Yuki Ishida, Naotsugu Kaneko, Tatsuya Kato, Kei-Ichi Ishikawa, Kimitaka Nakazawa

Abstract read
In one paragraph

Article in iScience, 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

7 authors.

Ken TakiyamaTokyo University of Agriculture and Technology, Department of Electrical Engineering and Computer Science, Nakacho, Koganei, Tokyo, Japan.
Hikaru YokoyamaTokyo University of Agriculture and Technology, Division of Advanced Health Science, Nakacho, Koganei, Tokyo, Japan.
Yuki IshidaTokyo University of Agriculture and Technology, Department of Electrical Engineering and Computer Science, Nakacho, Koganei, Tokyo, Japan.
Naotsugu KanekoThe University of Tokyo, Department of Life Sciences, Graduate School of Arts and Sciences, Tokyo, Japan.
Tatsuya KatoThe University of Tokyo, Department of Life Sciences, Graduate School of Arts and Sciences, Tokyo, Japan.
Kei-Ichi IshikawaThe University of Tokyo, Department of Life Sciences, Graduate School of Arts and Sciences, Tokyo, Japan.
Kimitaka NakazawaThe University of Tokyo, Department of Life Sciences, Graduate School of Arts and Sciences, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extensive research has explored muscle synergies as a strategy for managing motor redundancy and motor adaptation as a process for adjusting to novel environments. However, the relationship between these two fundamental concepts remains unclear. To address this gap, we analyzed muscle activity during split-belt treadmill walking adaptation using tensor decomposition. Our results reveal that two specific synergies-one associated with the fast limb and the other with the slow limb-are strongly recruited at the onset of adaptation and decline over time. The fast-limb synergy is active during single support, whereas the slow-limb synergy is engaged during double support. Additionally, another synergy is modulated during the washout phase. While a subset of synergies shows adaptive changes, most remain stable, maintaining balance between flexibility in gait modification and overall locomotor stability. These findings highlight distinct roles of muscle synergies across limbs and learning phases, offering insights into the neural mechanisms underlying motor adaptation.

Indexed as

neurosciencesensory neuroscience

Identifiers

PMID41890974
PMCPMC13014967

What OpenQuestion holds

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LicenceCC BY-NC
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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.