Evidence map›Paper›PMID 42394539›Full record

Observational studyEuropean journal of physical and rehabilitation medicine2026

Functional connectivity between homotopic perisylvian regions correlates with functional status after stroke.

Takamichi Tohyama, Masaki Fukunaga, Yohei Otaka

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In one paragraph

Observational study in European journal of physical and 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.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Takamichi TohyamaDepartment of Rehabilitation Medicine, School of Medicine, Fujita Health University, Toyoake, Japan.
Masaki FukunagaSection of Brain Function Information, National Institute for Physiological Sciences, Okazaki, Japan.
Yohei OtakaDepartment of Rehabilitation Medicine, School of Medicine, Fujita Health University, Toyoake, Japan - otaka119@mac.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGoal setting in stroke rehabilitation requires assessing patients' functional status, which involves both recovery and compensatory processes following stroke, underscoring the importance of identifying valid biomarkers. Functional connectivity measures derived from functional magnetic resonance imaging (fMRI) signals, which reflect underlying biological states, may offer value for characterizing functional status.

aimWe tested whether functional connectivity correlates with functional status and discriminates post-stroke functional independence.

designObservational study.

settingInpatient rehabilitation ward at Fujita Health University Hospital, Japan. POPULATION: Fifty-eight patients with stroke.

methodsResting-state fMRI data were used to compute group-sparse inverse covariance matrices, which were negated to estimate partial correlations representing direct functional connectivity. Correlations between connectivity measures and functional independence measure (FIM) scores were examined. Principal component analysis (PCA) was applied to extract dominant connectivity features from connections associated with functional status. Connectivity-based discriminative performance was evaluated using receiver operating characteristic analysis.

resultsConnectome mapping revealed significant positive correlations between total FIM scores and interhemispheric connectivity in homotopic perisylvian regions, including the insulae, superior temporal sulci and temporoparietal junctions. PCA extracted a major connectivity component whose strength demonstrated within-sample discrimination of functional independence. Lesions were predominantly located in subcortical regions.

conclusionsThe results support a significant association between homotopic functional connectivity within perisylvian, multifunctional regions located at the intersection of lobes and post-stroke daily functioning. Intrinsic interhemispheric functional connectivity, assessed using fMRI, may offer valuable insights into post-stroke functional status. CLINICAL REHABILITATION IMPACT: These findings highlight a promising direction for developing connectivity-based rehabilitation strategies for stroke-related disability.

Indexed as

ConnectomeFunctional StatusRecovery of FunctionStrokeStroke RehabilitationAgedDisability EvaluationFemaleHumansJapanMagnetic Resonance ImagingMaleMiddle Aged

Identifiers

PMID42394539
PMCPMC13411332

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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.