Evidence map›Paper›PMID 38224539›Full record

ArticleHuman brain mapping2024

The volume and the distribution of premorbid white matter hyperintensities: Impact on post-stroke aphasia.

Veronika Vadinova, A J Sihvonen, F Wee, K L Garden, L Ziraldo, T Roxbury, K O'Brien, D A Copland, K L McMahon, S L E Brownsett

Open access · goldAbstract read
In one paragraph

Article in Human brain mapping, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 12% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. 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

10 authors at 3 institutions in 2 countries.

Veronika VadinovaQueensland Aphasia Research Centre, University of Queensland, Brisbane, Australia.ORCID 0000-0001-7176-1008
A J SihvonenQueensland Aphasia Research Centre, University of Queensland, Brisbane, Australia.ORCID 0000-0002-4501-7338
F WeeQueensland Aphasia Research Centre, University of Queensland, Brisbane, Australia.
K L GardenQueensland Aphasia Research Centre, University of Queensland, Brisbane, Australia.
L ZiraldoQueensland Aphasia Research Centre, University of Queensland, Brisbane, Australia.
T RoxburyQueensland Aphasia Research Centre, University of Queensland, Brisbane, Australia.
K O'BrienQueensland Aphasia Research Centre, University of Queensland, Brisbane, Australia.
D A CoplandQueensland Aphasia Research Centre, University of Queensland, Brisbane, Australia.
K L McMahonSchool of Clinical Sciences, Centre for Biomedical Technologies, Queensland University of Technology, Brisbane, Australia.
S L E BrownsettQueensland Aphasia Research Centre, University of Queensland, Brisbane, Australia.
The University of Queensland · AUQueensland University of Technology · AUUniversity of Helsinki · FI

Funding

Finnish Cultural Foundation 191230Maire Taponen FoundationNational Health and Medical Research Council 1104194National Health and Medical Research Council 1153236Orion Research FoundationSigne and Ane Gyllenberg Foundation
6 · The paper itself

Abstract

White matter hyperintensities (WMH) are a radiological manifestation of progressive white matter integrity loss. The total volume and distribution of WMH within the corpus callosum have been associated with pathological cognitive ageing processes but have not been considered in relation to post-stroke aphasia outcomes. We investigated the contribution of both the total volume of WMH, and the extent of WMH lesion load in the corpus callosum to the recovery of language after first-ever stroke. Behavioural and neuroimaging data from individuals (N = 37) with a left-hemisphere stroke were included at the early subacute stage of recovery. Spoken language comprehension and production abilities were assessed using word and sentence-level tasks. Neuroimaging data was used to derive stroke lesion variables (volume and lesion load to language critical regions) and WMH variables (WMH volume and lesion load to three callosal segments). WMH volume did not predict variance in language measures, when considered together with stroke lesion and demographic variables. However, WMH lesion load in the forceps minor segment of the corpus callosum explained variance in early subacute comprehension abilities (t = -2.59, p = .01) together with corrected stroke lesion volume and socio-demographic variables. Premorbid WMH lesions in the forceps minor were negatively associated with early subacute language comprehension after aphasic stroke. This negative impact of callosal WMH on language is consistent with converging evidence from pathological ageing suggesting that callosal WMH disrupt the neural networks supporting a range of cognitive functions.

Indexed as

AphasiaStrokeWhite MatterAgingCognitionHumansMagnetic Resonance Imagingaphasiacorpus callosumlanguage comprehensionstrokewhite matter hyperintensities

Identifiers

PMID38224539
PMCPMC10789210
OpenAlexW4390887378

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.