Evidence map›Paper›PMID 42605918›Full record

ArticleJournal of rehabilitation medicine2026

Clinical factors associated with motor imagery ability in individuals with subacute stroke.

Yuki Fukumoto, Tsubasa Kawasaki, Takanao Shirai, Tomomi Hase, Hinata Chiyo, Hiroyuki Hamada, Katsuya Sakai, Junpei Tanabe, Kota Sawa, Toshiaki Suzuki

Abstract readMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of rehabilitation medicine, 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

10 authors.

Yuki FukumotoGraduate School of Health Sciences, Graduate School of Kansai University of Health Sciences, Osaka, Japan. fukumoto@kansai.ac.jp.
Tsubasa KawasakiDepartment of Physical Therapy, School of Health Sciences, Tokyo International University, Saitama, Japan.
Takanao ShiraiRehabilitation Center, Kiba Hospital, Medical Corporation, Juzankai, Osaka, Japan.
Tomomi HaseRehabilitation Center, Kiba Hospital, Medical Corporation, Juzankai, Osaka, Japan.
Hinata ChiyoRehabilitation Center, Kiba Hospital, Medical Corporation, Juzankai, Osaka, Japan.
Hiroyuki HamadaDepartment of Human and Engineered Environmental Studies, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan.
Katsuya SakaiGraduate School of Human Health Sciences, Tokyo Metropolitan University, Tokyo, Japan.
Junpei TanabeDepartment of Physical Therapy, Hiroshima Cosmopolitan University, Hiroshima, Japan.
Kota SawaDepartment of Physical Therapy, Faculty of Health Sciences, SBC Tokyo Medical University, Chiba, Japan.
Toshiaki SuzukiGraduate School of Health Sciences, Graduate School of Kansai University of Health Sciences, Osaka, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo examine the associations of motor recovery stage, proprioceptive function, and working memory with motor imagery ability in patients with subacute stroke.

designMulticentre cross-sectional study. SUBJECTS/PATIENTS: Forty patients with subacute stroke who had complete data.

methodsMotor imagery ability was assessed using mental chronometry during a Purdue Pegboard task. Associations with motor recovery stage, proprioceptive function, and working memory were examined using correlation and multiple regression analyses. An exploratory linear support vector machine analysis was performed to classify participants into groups with higher and lower motor imagery ability using these variables.

resultsMotor imagery ability was significantly associated with motor recovery stage and proprioceptive function in the correlation analyses. However, these associations were no longer independently significant after adjustment in the multiple regression analysis. A linear support vector machine achieved an area under the curve of 0.716, with an accuracy of 0.700, sensitivity of 0.800, and specificity of 0.600. Permutation testing confirmed that the classification performance was above chance.

conclusionMotor imagery ability may be related to a combination of motor, sensory, and cognitive functions rather than any single functional domain.

Indexed as

ImaginationStrokeStroke RehabilitationAgedCross-Sectional StudiesFemaleHumansMaleMemory, Short-TermMiddle AgedProprioceptionPsychomotor PerformanceRecovery of FunctionSupport Vector Machine

Identifiers

PMID42605918
PMCPMC13491540

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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.