Evidence map›Paper›PMID 28229041›Full record

ArticleNeuroImage. Clinical2017

Hemispheric asymmetry in myelin after stroke is related to motor impairment and function.

Bimal Lakhani, Kathryn S Hayward, Lara A Boyd

Abstract read
In one paragraph

Article in NeuroImage. Clinical, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  10. Variability and reproducibility of multi-echoFrontiers in radiology · 2022
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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.

Bimal LakhaniDepartment of Physical Therapy, University of British Columbia, Vancouver, BC V6T 1Z3, Canada.
Kathryn S HaywardDepartment of Physical Therapy, University of British Columbia, Vancouver, BC V6T 1Z3, Canada; Stroke Division, Florey Institute of Neuroscience and Mental Health, University of Melbourne, Melbourne, VIC 3084, Australia; NHMRC Centre of Research Excellence in Stroke Rehabilitation and Brain Recovery, Australia.
Lara A BoydDepartment of Physical Therapy, University of British Columbia, Vancouver, BC V6T 1Z3, Canada.

Funding

CIHR MOP-130269
6 · The paper itself

Abstract

The relationships between impairment, function, arm use and underlying brain structure following stroke remain unclear. Although diffusion weighted imaging is useful in broadly assessing white matter structure, it has limited utility in identifying specific underlying neurobiological components, such as myelin. The purpose of the present study was to explore relationships between myelination and impairment, function and activity in individuals with chronic stroke. Assessments of paretic upper-extremity impairment and function were administered, and 72-hour accelerometer based activity monitoring was conducted on 19 individuals with chronic stroke. Participants completed a magnetic resonance imaging protocol that included a high resolution T

Indexed as

StrokeAccelerometryAgedAged, 80 and overAnalysis of VarianceBrain MappingCerebral CortexFemaleFunctional LateralityHumansImage Processing, Computer-AssistedLinear ModelsMagnetic Resonance ImagingMaleMiddle AgedMotor DisordersAC, Activity CountAccelerometryANCOVA, Analysis of CovarianceAR, Asymmetry RatioBiomarkersCST, Corticospinal TractDTI, Diffusion Tensor ImagingFM, Fugl-MeyerGRASE, Gradient and Spin EchoMANCOVA, Multivariate Analysis of CovarianceMotor controlMR, Magnetic ResonanceMWF, Myelin Water FractionMyelinStrokeUE, Upper ExtremityWhite matterWMFT, Wolf Motor Function Test

Identifiers

PMID28229041
PMCPMC5312556

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.