Evidence map›Paper›PMID 35274100›Full record

ArticleBrain communications2022

Brain network topology early after stroke relates to recovery.

Paul R Nemati, Winifried Backhaus, Jan Feldheim, Marlene Bönstrup, Bastian Cheng, Götz Thomalla, Christian Gerloff, Robert Schulz

Open access · goldAbstract read
In one paragraph

Article in Brain communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

13 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Multimodal Neural Assessment for Predicting Post-Stroke Dysphagia: Identifying Critical Risk Factors Using Combined Indicators.Medical science monitor : international medical journal of experimental and clinical research · 2025
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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 1 institution in 1 country.

Paul R NematiDepartment of Neurology, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany.
Winifried BackhausDepartment of Neurology, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany.
Jan FeldheimDepartment of Neurology, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany.
Marlene BönstrupDepartment of Neurology, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany.ORCID https://orcid.org/0000-0002-7237-1359
Bastian ChengDepartment of Neurology, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany.ORCID https://orcid.org/0000-0003-2434-1822
Götz ThomallaDepartment of Neurology, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany.ORCID https://orcid.org/0000-0002-4785-1449
Christian GerloffDepartment of Neurology, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany.
Robert SchulzDepartment of Neurology, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany.
Universität Hamburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Analyses of alterations of brain networks have gained an increasing interest in stroke rehabilitation research. Compared with functional networks derived from resting-state analyses, there is limited knowledge of how structural network topology might undergo changes after stroke and, more importantly, if structural network information obtained early after stroke could enhance recovery models to infer later outcomes. The present work re-analysed cross-sectional structural imaging data, obtained within the first 2 weeks, of 45 acute stroke patients (22 females, 24 right-sided strokes, age 68 ± 13 years). Whole-brain tractography was performed to reconstruct structural connectomes and graph-theoretical analyses were employed to quantify global network organization with a focus on parameters of network integration and modular processing. Graph measures were compared between stroke patients and 34 healthy controls (15 females, aged 69 ± 10 years) and they were integrated with four clinical scores of the late subacute stage, covering neurological symptom burden (National Institutes of Health Stroke Scale), global disability (modified Rankin Scale), activity-related disability (Barthel Index) and motor functions (Upper-Extremity Score of the Fugl-Meyer Assessment). The analyses were employed across the complete cohort and, based on clustering analysis, separately within subgroups stratified in mild to moderate (

Indexed as

diffusion MRIgraph theorymotor recoverysevere impairmentstructural connectome

Identifiers

PMID35274100
PMCPMC8905614
OpenAlexW4213389940

What OpenQuestion holds

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LicenceCC BY
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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.