Evidence map›Paper›PMID 34346531›Full record

ArticleHuman brain mapping2021

Early motor network connectivity after stroke: An interplay of general reorganization and state-specific compensation.

Theresa Paul, Lukas Hensel, Anne K Rehme, Caroline Tscherpel, Simon B Eickhoff, Gereon R Fink, Christian Grefkes, Lukas J Volz

Open access · goldAbstract read
In one paragraph

Article in Human brain mapping, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
3.1field-weighted citation impact, top 8% of its field
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

21 citing papers in PubMed, 2 syntheses or guidelines pooled it, 33 citations in OpenAlex.

  1. Pooled it
  2. The effects of rTMS on motor recovery after stroke: a systematic review of fMRI studies.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2024
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  10. Corticospinal premotor fibers facilitate complex motor control after stroke.Annals of clinical and translational neurology · 2024
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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

8 authors at 2 institutions in 1 country.

Theresa PaulDepartment of Neurology, University Hospital Cologne, Cologne, Germany.
Lukas HenselDepartment of Neurology, University Hospital Cologne, Cologne, Germany.
Anne K RehmeDepartment of Neurology, University Hospital Cologne, Cologne, Germany.
Caroline TscherpelDepartment of Neurology, University Hospital Cologne, Cologne, Germany.
Simon B EickhoffInstitute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Juelich, Juelich, Germany.
Gereon R FinkDepartment of Neurology, University Hospital Cologne, Cologne, Germany.
Christian GrefkesDepartment of Neurology, University Hospital Cologne, Cologne, Germany.ORCID 0000-0002-1656-720X
Lukas J VolzDepartment of Neurology, University Hospital Cologne, Cologne, Germany.ORCID 0000-0002-0161-654X
Forschungszentrum Jülich · DEUniversity Hospital Cologne · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Motor recovery after stroke relies on functional reorganization of the motor network, which is commonly assessed via functional magnetic resonance imaging (fMRI)-based resting-state functional connectivity (rsFC) or task-related effective connectivity (trEC). Measures of either connectivity mode have been shown to successfully explain motor impairment post-stroke, posing the question whether motor impairment is more closely reflected by rsFC or trEC. Moreover, highly similar changes in ipsilesional and interhemispheric motor network connectivity have been reported for both rsFC and trEC after stroke, suggesting that altered rsFC and trEC may capture similar aspects of information integration in the motor network reflecting principle, state-independent mechanisms of network reorganization rather than state-specific compensation strategies. To address this question, we conducted the first direct comparison of rsFC and trEC in a sample of early subacute stroke patients (n = 26, included on average 7.3 days post-stroke). We found that both rsFC and trEC explained motor impairment across patients, stressing the clinical potential of fMRI-based connectivity. Importantly, intrahemispheric connectivity between ipsilesional M1 and premotor areas depended on the activation state, whereas interhemispheric connectivity between homologs was state-independent. From a mechanistic perspective, our results may thus arise from two distinct aspects of motor network plasticity: task-specific compensation within the ipsilesional hemisphere and a more fundamental form of reorganization between hemispheres.

Indexed as

ConnectomeAgedAged, 80 and overFemaleHumansIschemic StrokeMagnetic Resonance ImagingMaleMiddle AgedMotor CortexNerve NetNeuronal Plasticitybrain network connectivitydynamic causal modeling (DCM)ischemic strokemotor network reorganizationresting-state fMRI

Identifiers

PMID34346531
PMCPMC8519876
OpenAlexW3192854425

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.