Evidence map›Paper›PMID 37328707›Full record

ArticleBrain topography2023

Electroencephalography-Derived Functional Connectivity in Sensorimotor Networks in Post Stroke Fatigue.

Chi-Hsu Wu, William De Doncker, Annapoorna Kuppuswamy

Open access · hybridAbstract read
In one paragraph

Article in Brain topography, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.8field-weighted citation impact, top 16% 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

4 citing papers in PubMed, 10 citations in OpenAlex.

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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

3 authors at 2 institutions in 1 country.

Chi-Hsu WuInstitute of Neurology, University College London, Box 146, 33 Queen Square, London, WC1N 3BG, England.
William De DonckerInstitute of Neurology, University College London, Box 146, 33 Queen Square, London, WC1N 3BG, England.
Annapoorna KuppuswamyInstitute of Neurology, University College London, Box 146, 33 Queen Square, London, WC1N 3BG, England. a.kuppuswamy@ucl.ac.uk.
National Hospital for Neurology and Neurosurgery · GBUniversity College London · GB

Funding

Wellcome TrustWellcome Trust 202346/Z/16/Z
6 · The paper itself

Abstract

backgroundPoor suppression of anticipated sensory information from muscle contractions is thought to underlie high fatigue. Such diminished task-related sensory attenuation is reflected in resting state connectivity. Here we test the hypothesis 'altered electroencephalography (EEG)-derived functional connectivity in somatosensory network in the beta band, is a signature of fatigue in post-stroke fatigue'.

methodsIn non-depressed, minimally impaired stroke survivors (n = 29), with median disease duration of 5 years, resting state neuronal activity was measured using 64-channel EEG. Graph theory-based network analysis measure of functional connectivity via small-world index (SW) was calculated focusing on right and left motor (Brodmann areas 4, 6, 8, 9, 24 and 32) and sensory (Brodmann areas 1, 2, 3, 5, 7, 40 and 43) networks, in the beta (13-30 Hz) frequency range. Fatigue was measured using Fatigue Severity Scale - FSS (Stroke), with scores of > 4, defined as high fatigue.

resultsResults confirmed the working hypothesis, with high fatigue stroke survivors showing higher small-worldness in the somatosensory networks when compared to low fatigue.

conclusionHigh levels of small-worldness in somatosensory networks indicates altered processing of somesthetic input. Such altered processing would explain high effort perception within the sensory attenuation model of fatigue.

Indexed as

Motor CortexStrokeElectroencephalographyFatigueHumansSomatosensory CortexBeta bandConnectivityElectroencephalographyFatigueSensory networkSmall word indexStroke

Identifiers

PMID37328707
PMCPMC10415526
OpenAlexW4381046723

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.