Evidence map›Paper›PMID 26521078›Full record

ArticleBrain : a journal of neurology2016

Right hemisphere grey matter structure and language outcomes in chronic left hemisphere stroke.

Shihui Xing, Elizabeth H Lacey, Laura M Skipper-Kallal, Xiong Jiang, Michelle L Harris-Love, Jinsheng Zeng, Peter E Turkeltaub

Open access · bronzeAbstract read
In one paragraph

Article in Brain : a journal of neurology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers.

0numbers the graph read from it
0cells of the map it votes in
73citing papers in PubMed
5.6field-weighted citation impact, top 3% 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

73 citing papers in PubMed, 119 citations in OpenAlex.

  1. Common and unique structural plasticity after left and right hemisphere stroke.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2021
    Trial
  2. Article
  3. The Influence of Contralesional Brain Age Gradients on Chronic Stroke Aphasia Severity and Treatment Response.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  4. Article
  5. Acute-Phase Machine Learning Prediction of 12-Month Aphasia and Discourse Recovery.medRxiv : the preprint server for health sciences · 2026
    Article
  6. Right hemisphere language network plasticity in aphasia.Brain : a journal of neurology · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Right Hemisphere Language Network Plasticity in Aphasia.medRxiv : the preprint server for health sciences · 2025
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article

13 more citing papers are in PubMed but not listed here.

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

7 authors at 5 institutions in 2 countries.

Shihui Xing1 Department of Neurology, Georgetown University Medical Center, Washington, D.C., USA 2 Department of Neurology, First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
Elizabeth H Lacey1 Department of Neurology, Georgetown University Medical Center, Washington, D.C., USA 3 Research Division, MedStar National Rehabilitation Hospital, Washington, D.C., USA.
Laura M Skipper-Kallal1 Department of Neurology, Georgetown University Medical Center, Washington, D.C., USA.
Xiong Jiang4 Department of Neuroscience, Georgetown University Medical Center, Washington, D.C., USA.
Michelle L Harris-Love3 Research Division, MedStar National Rehabilitation Hospital, Washington, D.C., USA 5 Department of Rehabilitation Science, George Mason University, Fairfax, V.A., USA.
Jinsheng Zeng2 Department of Neurology, First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
Peter E Turkeltaub1 Department of Neurology, Georgetown University Medical Center, Washington, D.C., USA 3 Research Division, MedStar National Rehabilitation Hospital, Washington, D.C., USA turkeltp@georgetown.edu.
Georgetown University Medical Center · USMedStar National Rehabilitation Hospital · USGeorgetown University · USSun Yat-sen University · CNThe First Affiliated Hospital, Sun Yat-sen University · CN

Funding

Maternal Morbidity and Mortality: Risk Factors, Early Detection and Personalized InterventionUL1TR001409 · NCATS · GEORGETOWN UNIVERSITY · PI GONDRE-LEWIS, MARJORIE C, MELLMAN, THOMAS A · 2015 to 2024
$37.8M
Georgetown-Howard Universities Center for Clinical and Translational Science (GHUKL2TR000102 · NCATS · GEORGETOWN UNIVERSITY · PI MELLMAN, THOMAS A, VERBALIS, JOSEPH G · 2012 to 2014
$1.7M
NCATS NIH HHS KL2TR000102NCATS NIH HHS UL1 TR001409
6 · The paper itself

Abstract

The neural mechanisms underlying recovery of language after left hemisphere stroke remain elusive. Although older evidence suggested that right hemisphere language homologues compensate for damage in left hemisphere language areas, the current prevailing theory suggests that right hemisphere engagement is ineffective or even maladaptive. Using a novel combination of support vector regression-based lesion-symptom mapping and voxel-based morphometry, we aimed to determine whether local grey matter volume in the right hemisphere independently contributes to aphasia outcomes after chronic left hemisphere stroke. Thirty-two left hemisphere stroke survivors with aphasia underwent language assessment with the Western Aphasia Battery-Revised and tests of other cognitive domains. High-resolution T1-weighted images were obtained in aphasia patients and 30 demographically matched healthy controls. Support vector regression-based multivariate lesion-symptom mapping was used to identify critical language areas in the left hemisphere and then to quantify each stroke survivor's lesion burden in these areas. After controlling for these direct effects of the stroke on language, voxel-based morphometry was then used to determine whether local grey matter volumes in the right hemisphere explained additional variance in language outcomes. In brain areas in which grey matter volumes related to language outcomes, we then compared grey matter volumes in patients and healthy controls to assess post-stroke plasticity. Lesion-symptom mapping showed that specific left hemisphere regions related to different language abilities. After controlling for lesion burden in these areas, lesion size, and demographic factors, grey matter volumes in parts of the right temporoparietal cortex positively related to spontaneous speech, naming, and repetition scores. Examining whether domain general cognitive functions might explain these relationships, partial correlations demonstrated that grey matter volumes in these clusters related to verbal working memory capacity, but not other cognitive functions. Further, grey matter volumes in these areas were greater in stroke survivors than healthy control subjects. To confirm this result, 10 chronic left hemisphere stroke survivors with no history of aphasia were identified. Grey matter volumes in right temporoparietal clusters were greater in stroke survivors with aphasia compared to those without history of aphasia. These findings suggest that the grey matter structure of right hemisphere posterior dorsal stream language homologues independently contributes to language production abilities in chronic left hemisphere stroke, and that these areas may undergo hypertrophy after a stroke causing aphasia.

Indexed as

Functional LateralityAphasiaBrain MappingCase-Control StudiesCerebrumCognitionFemaleGray MatterHumansLanguageLanguage TestsMagnetic Resonance ImagingMaleMiddle AgedRecovery of FunctionStrokeaphasiagrey matteroutcomeright hemispherestrokevoxel-based morphometry

Identifiers

PMID26521078
PMCPMC4990653
OpenAlexW2173882062

What OpenQuestion holds

Textmetadata
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.