Evidence map›Paper›PMID 39438994›Full record

ArticleJournal of neuroengineering and rehabilitation2024

Brain-movement relationship during upper-limb functional movements in chronic post-stroke patients.

C O Muller, G Faity, M Muthalib, S Perrey, G Dray, B Xu, J Froger, D Mottet, I Laffont, M Delorme and 1 more

Abstract read
In one paragraph

Article in Journal of neuroengineering and rehabilitation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
–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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
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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

11 authors.

C O MullerEuroMov Digital Health in Motion, Univ Montpellier, IMT Mines Ales, Montpellier, France.
G FaityEuroMov Digital Health in Motion, Univ Montpellier, IMT Mines Ales, Montpellier, France.
M MuthalibEuroMov Digital Health in Motion, Univ Montpellier, IMT Mines Ales, Montpellier, France.
S PerreyEuroMov Digital Health in Motion, Univ Montpellier, IMT Mines Ales, Montpellier, France.
G DrayEuroMov Digital Health in Motion, Univ Montpellier, IMT Mines Ales, Montpellier, France.
B XuEuroMov Digital Health in Motion, Univ Montpellier, IMT Mines Ales, Montpellier, France.
J FrogerEuroMov Digital Health in Motion, Univ Montpellier, IMT Mines Ales, Montpellier, France.
D MottetEuroMov Digital Health in Motion, Univ Montpellier, IMT Mines Ales, Montpellier, France.
I LaffontEuroMov Digital Health in Motion, Univ Montpellier, IMT Mines Ales, Montpellier, France.
M DelormeEuroMov Digital Health in Motion, Univ Montpellier, IMT Mines Ales, Montpellier, France.
K BakhtiEuroMov Digital Health in Motion, Univ Montpellier, IMT Mines Ales, Montpellier, France. k-bakhti@chu-montpellier.fr.

Funding

Direction générale de l'offre de soins (DGOS), French Ministère des Affaires Sociales et de la Santé PHRIP-2018-0731
6 · The paper itself

Abstract

backgroundFollowing a stroke, brain activation reorganisation, movement compensatory strategies, motor performance and their evolution through rehabilitation are matters of importance for clinicians. Two non-invasive neuroimaging methods allow for recording task-related brain activation: functional near-infrared spectroscopy (fNIRS) and electroencephalography (fEEG), respectively based on hemodynamic response and neuronal electrical activity. Their simultaneous measurement during movements could allow a better spatiotemporal mapping of brain activation, and when associated to kinematic parameters could unveil underlying mechanisms of functional upper limb (UL) recovery. This study aims to depict the motor cortical activity patterns using combined fNIRS-fEEG and their relationship to motor performance and strategies during UL functional tasks in chronic post-stroke patients.

methodsTwenty-one healthy old adults and 21 chronic post-stroke patients were recruited and completed two standardised functional tasks of the UL: a paced-reaching task where they had to reach a target in front of them and a circular steering task where they had to displace a target using a hand-held stylus, as fast as possible inside a circular track projected on a computer screen. The activity of the bilateral motor cortices and motor performance were recorded simultaneously utilizing a fNIRS-fEEG and kinematics platform. RESULTS AND

conclusionsKinematic analysis revealed that post-stroke patients performed worse in the circular steering task and used more trunk compensation in both tasks. Brain analysis of bilateral motor cortices revealed that stroke individuals over-activated during the paretic UL reaching task, which was associated with more trunk usage and a higher level of impairment (clinical scores). This work opens up avenues for using such combined methods to better track and understand brain-movement evolution through stroke rehabilitation.

Indexed as

ElectroencephalographyMotor CortexMovementSpectroscopy, Near-InfraredStrokeStroke RehabilitationUpper ExtremityAdultAgedBiomechanical PhenomenaBrainChronic DiseaseFemaleHumansMaleMiddle AgedfEEGfNIRSNeuroplasticityReaching and tracing tasksSensorimotor cortexStrokeUpper limb

Identifiers

PMID39438994
PMCPMC11494975

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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.