Evidence map›Paper›PMID 41235408›Full record

ArticleBrain : a journal of neurology2026

Structural reserve-dependent cortical rerouting of motor control after stroke.

Valerie M Wiemer, Theresa Paul, Lukas Hensel, Matthew Cieslak, Caroline Tscherpel, Christian Grefkes, Scott T Grafton, Gereon R Fink, Lukas J Volz

Abstract read
In one paragraph

Article in Brain : a journal of neurology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
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

9 authors.

Valerie M WiemerFaculty of Medicine, University of Cologne, and Department of Neurology, University Hospital Cologne, Cologne 50937, Germany.
Theresa PaulFaculty of Medicine, University of Cologne, and Department of Neurology, University Hospital Cologne, Cologne 50937, Germany.
Lukas HenselFaculty of Medicine, University of Cologne, and Department of Neurology, University Hospital Cologne, Cologne 50937, Germany.
Matthew CieslakDepartment of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Caroline TscherpelDepartment of Neurology, Goethe University Frankfurt and University Hospital, Frankfurt am Main 60528, Germany.
Christian GrefkesDepartment of Neurology, Goethe University Frankfurt and University Hospital, Frankfurt am Main 60528, Germany.
Scott T GraftonDepartment of Psychological & Brain Sciences, University of California, Santa Barbara, CA 93106, USA.
Gereon R FinkFaculty of Medicine, University of Cologne, and Department of Neurology, University Hospital Cologne, Cologne 50937, Germany.
Lukas J VolzFaculty of Medicine, University of Cologne, and Department of Neurology, University Hospital Cologne, Cologne 50937, Germany.ORCID 0000-0002-0161-654X

Funding

Deutsche Forschungsgemeinschaft 431549029
6 · The paper itself

Abstract

Structural cortico-cortical connectivity is essential for motor recovery after stroke, with undamaged fibre tracts potentially serving as structural reserve for functional reorganization. Yet, the mechanisms by which the structural reserve contributes to changes in functional network configurations to improve post-stroke motor control remain unknown. Here, we assessed structural (diffusion spectrum imaging) and effective (functional MRI-based dynamic causal modelling) connectivity to examine how the structural reserve may guide motor network reorganization of upper limb motor control. Specific features of cortico-cortical structural reserve were associated with distinct patterns of functional network configurations: limited intrahemispheric structural reserve between ipsilesional primary motor cortex and premotor areas was linked to interhemispheric rerouting of motor commands via the contralesional primary motor cortex, particularly when ipsilesional corticospinal tract integrity was low. In contrast, limited interhemispheric structural reserve between ipsilesional primary motor cortex and contralesional premotor areas was related to intrahemispheric rerouting via the ipsilesional premotor cortex, especially in patients with high residual corticospinal tract integrity. Even though both alternative pathways may allow bypassing damaged corticospinal tract fibres originating from the ipsilesional primary motor cortex, we observed a clear behavioural dissociation: in patients who substantially recovered, enhanced intrahemispheric rerouting was indicative of better hand function, reflecting beneficial reorganization. Conversely, interhemispheric rerouting was associated with pronounced motor impairment of the paretic arm and primarily observed in non-substantially recovered patients, in line with task-specific maladaptive reorganization. Our findings emphasize that the motor network's available structural reserve critically shapes functional network reorganization by predetermining whether motor commands are primarily rerouted intra- or interhemispherically with distinct implications for motor recovery. Besides helping to reconcile previous conflicting interpretations on the role of contralesional primary motor cortex, our results underscore that the individual level of structural motor network reserve should be considered for future therapeutic approaches aiming at amplifying motor recovery after stroke.

Indexed as

Motor CortexStrokeDiffusion Magnetic Resonance ImagingFemaleHumansMagnetic Resonance ImagingMaleNeural PathwaysNeuronal PlasticityPyramidal TractsRecovery of Functionfunctional reorganizationmotor control post-strokemotor recoverymultimodal connectivityplasticitystructure–function relationships

Identifiers

PMID41235408
PMCPMC13337246

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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.