Evidence map›Paper›PMID 42088025›Full record

ArticleImaging neuroscience (Cambridge, Mass.)

Independent contributions of language activations in left and right temporal cortex to aphasia outcomes after stroke.

Sarah M Schneck, Deborah F Levy, Jillian L Entrup, Melodie Yen, Dana K Eriksson, Marianne Casilio, Anna V Kasdan, Lily Walljasper, Caitlin F Onuscheck, Larry T Davis and 3 more

Abstract read
In one paragraph

Article in Imaging neuroscience (Cambridge, Mass.). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

2 citing papers in PubMed.

  1. Observational
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Sarah M SchneckDepartment of Hearing and Speech Sciences, Vanderbilt University Medical Center, Nashville, TN, United States.
Deborah F LevyDepartment of Hearing and Speech Sciences, Vanderbilt University Medical Center, Nashville, TN, United States.
Jillian L EntrupDepartment of Hearing and Speech Sciences, Vanderbilt University Medical Center, Nashville, TN, United States.
Melodie YenDepartment of Hearing and Speech Sciences, Vanderbilt University Medical Center, Nashville, TN, United States.
Dana K ErikssonDepartment of Speech, Language, and Hearing Sciences, University of Arizona, Tucson, AZ, United States.
Marianne CasilioDepartment of Hearing and Speech Sciences, Vanderbilt University Medical Center, Nashville, TN, United States.
Anna V KasdanDepartment of Hearing and Speech Sciences, Vanderbilt University Medical Center, Nashville, TN, United States.
Lily WalljasperDepartment of Hearing and Speech Sciences, Vanderbilt University Medical Center, Nashville, TN, United States.
Caitlin F OnuscheckDepartment of Hearing and Speech Sciences, Vanderbilt University Medical Center, Nashville, TN, United States.
Larry T DavisDepartment of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States.
Howard S KirshnerDepartment of Neurology, Vanderbilt University Medical Center, Nashville, TN, United States.
Michael de RiesthalDepartment of Hearing and Speech Sciences, Vanderbilt University Medical Center, Nashville, TN, United States.
Stephen M WilsonSchool of Health and Rehabilitation Sciences, The University of Queensland, St Lucia, QLD, Australia.ORCID https://orcid.org/0000-0001-9884-2852

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recovery from aphasia after stroke has been hypothesized to depend on neuroplasticity in surviving brain regions. Many studies have investigated this process, but progress has been impeded by methodological limitations relating to task performance confounds, contrast validity, and sample sizes. Furthermore, few studies have accounted for the complex relationships that exist between patterns of structural damage, distributed networks of functional activity, and behavioral outcomes. The present cross-sectional study aimed to overcome these critical methodological limitations and to disentangle the relationships between structure, function, and behavior. We recruited 70 individuals with post-stroke aphasia and 45 neurologically normal comparison participants. We used a valid and reliable language mapping fMRI paradigm that adapted dynamically to each participant's task performance, and carried out whole-brain permutation analyses along with hypothesis-driven analyses of individually defined functional regions of interest (ROIs). Multivariable models were constructed that incorporated lesion load estimates derived from machine learning and language activations across multiple brain regions. We found strong evidence that left posterior temporal cortex is the most critical region for language processing in post-stroke aphasia: functional activity in this region was reduced in aphasia, predictive of aphasia outcomes in a whole-brain analysis above and beyond the contribution of lesion load, and remained predictive even above and beyond other functional predictors, with a medium effect size (

Indexed as

aphasianeuroplasticitystroke

Identifiers

PMID42088025
PMCPMC13137568

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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.