Evidence map›Paper›PMID 38344655›Full record

ArticleBrain communications2024

Post-stroke upper limb recovery is correlated with dynamic resting-state network connectivity.

Chih-Wei Tang, Catharina Zich, Andrew J Quinn, Mark W Woolrich, Shih-Pin Hsu, Chi-Hung Juan, I Hui Lee, Charlotte J Stagg

Open access · goldAbstract read
In one paragraph

Article in Brain communications, 2024. 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
0.4field-weighted citation impact, top 40% 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

3 citing papers in PubMed, 2 citations in OpenAlex.

  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

8 authors at 3 institutions in 2 countries.

Chih-Wei TangInstitute of Brain Science, Brain Research Center, National Yang Ming Chiao Tung University, Taipei City 112, Taiwan.ORCID https://orcid.org/0000-0001-7577-3380
Catharina ZichNuffield Department of Clinical Neurosciences, Wellcome Centre for Integrative Neuroimaging, FMRIB, University of Oxford, Oxford OX3 9DU, UK.
Andrew J QuinnNuffield Department of Clinical Neurosciences, Wellcome Centre for Integrative Neuroimaging, FMRIB, University of Oxford, Oxford OX3 9DU, UK.
Mark W WoolrichNuffield Department of Clinical Neurosciences, Wellcome Centre for Integrative Neuroimaging, FMRIB, University of Oxford, Oxford OX3 9DU, UK.
Shih-Pin HsuInstitute of Brain Science, Brain Research Center, National Yang Ming Chiao Tung University, Taipei City 112, Taiwan.
Chi-Hung JuanInstitute of Cognitive Neuroscience, National Central University, Taoyuan City 320, Taiwan.
I Hui LeeInstitute of Brain Science, Brain Research Center, National Yang Ming Chiao Tung University, Taipei City 112, Taiwan.ORCID https://orcid.org/0000-0002-5344-6685
Charlotte J StaggNuffield Department of Clinical Neurosciences, Wellcome Centre for Integrative Neuroimaging, FMRIB, University of Oxford, Oxford OX3 9DU, UK.ORCID https://orcid.org/0000-0002-5542-5036
University of Oxford · GBNational Yang Ming Chiao Tung University · TWNational Central University · TW

Funding

Wellcome Trust
6 · The paper itself

Abstract

Motor recovery is still limited for people with stroke especially those with greater functional impairments. In order to improve outcome, we need to understand more about the mechanisms underpinning recovery. Task-unbiased, blood flow-independent post-stroke neural activity can be acquired from resting brain electrophysiological recordings and offers substantial promise to investigate physiological mechanisms, but behaviourally relevant features of resting-state sensorimotor network dynamics have not yet been identified. Thirty-seven people with subcortical ischaemic stroke and unilateral hand paresis of any degree were longitudinally evaluated at 3 weeks (early subacute) and 12 weeks (late subacute) after stroke. Resting-state magnetoencephalography and clinical scores of motor function were recorded and compared with matched controls. Magnetoencephalography data were decomposed using a data-driven hidden Markov model into 10 time-varying resting-state networks. People with stroke showed statistically significantly improved Action Research Arm Test and Fugl-Meyer upper extremity scores between 3 weeks and 12 weeks after stroke (both

Indexed as

hidden Markov modelmagnetoencephalographymotor recoverystroke

Identifiers

PMID38344655
PMCPMC10853981
OpenAlexW4391151004

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.