Evidence map›Paper›PMID 41392885›Full record

Observational studyStroke2026

Patterns of Structural Disconnection Driving Proprioceptive Deficits in Chronic Stroke.

Mika Kaeja, Leila Gajiyeva, Yasser Iturria-Medina, Arno Villringer, Bernhard Sehm, Christopher J Steele

Abstract readObservational Study
In one paragraph

Observational study in Stroke, 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

6 authors.

Mika KaejaNeural Architecture, Behaviour and Connectivity Laboratory, Department of Psychology, Center for Studies in Behavioral Neurobiology and School of Health, Concordia University, Montreal, QC, Canada (M.K., C.J.S.).ORCID 0009-0007-5026-218X
Leila GajiyevaDepartment of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany (L.G., A.V., B.S., C.J.S.).
Yasser Iturria-MedinaDepartment of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada (Y.I.-M.).ORCID 0000-0002-9345-0347
Arno VillringerDepartment of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany (L.G., A.V., B.S., C.J.S.).ORCID 0000-0003-2604-2404
Bernhard SehmDepartment of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany (L.G., A.V., B.S., C.J.S.).ORCID 0000-0001-7195-0095
Christopher J SteeleNeural Architecture, Behaviour and Connectivity Laboratory, Department of Psychology, Center for Studies in Behavioral Neurobiology and School of Health, Concordia University, Montreal, QC, Canada (M.K., C.J.S.).ORCID 0000-0003-1656-7928

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStroke is a leading cause of death and disability, with proprioceptive impairments affecting up to 64% of survivors. These impairments hinder sensorimotor recovery, significantly impacting poststroke quality of life. Proprioception depends on an integrated brain network but remains underexplored due to limitations in clinical assessments, hindering links between stroke-related damage and functional deficits. We combined quantitative proprioceptive measurements (arm position matching task) with connectome-based lesion-symptom mapping to identify white matter (WM) disconnection patterns underlying proprioceptive deficits in chronic sensorimotor stroke while controlling for motor impairment.

methodsIn this single-center observational study (Leipzig, Germany, 2015-2018), we investigated relationships between WM disconnection and proprioceptive deficits in chronic stroke survivors with paretic arm function using connectome-based lesion-symptom mapping and kinematic assessments. Lesions were manually delineated, and proprioception was quantified using the arm position matching task on the KINARM Exoskeleton. Patient-specific voxelwise WM disconnection maps were generated using the tractography-based lesion assessment standard, quantifying disconnection relative to a healthy WM connectome (n=1001; women=556; age=22-37 years). Proprioceptive scores were regressed against disconnection maps using voxelwise linear regressions (familywise error-corrected, controlled for age and sex). A secondary analysis included motor performance (visually guided reaching task) as a covariate to isolate proprioceptive-specific effects.

resultsOf 42 patients, 39 had valid arm position matching data, and 38 had valid visually guided reaching data included in the analyses (women=13; age=35-81 years). Arm position matching task scores were significantly associated with WM disconnection (d=0.58-1;

conclusionsWe provide evidence that proprioceptive impairments in chronic stroke may arise from network-wide WM disconnection in key tracts mediating proprioceptive function. Our findings highlight the benefits of connectome-based lesion-symptom mapping for assessing stroke-related proprioceptive deficits and offer a framework for network-informed assessments of functional impairments that could guide targeted therapies poststroke.

Indexed as

ProprioceptionSomatosensory DisordersStrokeWhite MatterAdultAgedChronic DiseaseConnectomeFemaleHumansMaleMiddle AgedYoung Adultconnectomeneuroimagingproprioceptionroboticsstroke

Identifiers

PMID41392885
PMCPMC12928823

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.