Evidence map›Paper›PMID 31756155›Full record

ReviewJournal of speech, language, and hearing research : JSLHR2019

A Taxonomy of Brain-Behavior Relationships After Stroke.

Peter E Turkeltaub

Abstract readReview
In one paragraph

Review in Journal of speech, language, and hearing research : JSLHR, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

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

  1. Pooled it
  2. Pooled it
  3. Observational
  4. Right hemisphere language network plasticity in aphasia.Brain : a journal of neurology · 2026
    Article
  5. Identifying left and right hemispheres using functional connectivity.bioRxiv : the preprint server for biology · 2025
    Article
  6. Article
  7. Article
  8. Right Hemisphere Language Network Plasticity in Aphasia.medRxiv : the preprint server for health sciences · 2025
    Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Recovery from aphasia in the first year after stroke.Brain : a journal of neurology · 2023
    Article
  16. Language and developmental plasticity after perinatal stroke.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  17. Preserved anatomical bypasses predict variance in language functions after stroke.Cortex; a journal devoted to the study of the nervous system and behavior · 2022
    Article
  18. Article
  19. Observational
  20. 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

1 author.

Peter E TurkeltaubDepartment of Neurology, Georgetown University Medical Center, Washington, DC.

Funding

Contributions of spared brain structures and connections to aphasia recoveryR01DC014960 · NIDCD · GEORGETOWN UNIVERSITY · PI TURKELTAUB, PETER ETHAN · 2017 to 2021
$4.0M
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
Research Symposium in Communication Sciences and DisordersR13DC003383 · NIDCD · AMERICAN SPEECH-LANGUAGE-HEARING ASSN · PI MARGARET A. ROGERS · 1997 to 2026
$727k
Cerebellar tDCS: A Novel Treatment for AphasiaR21DC014087 · NIDCD · GEORGETOWN UNIVERSITY · PI STOODLEY, CATHERINE J., TURKELTAUB, PETER ETHAN · 2016 to 2017
$448k
NCATS NIH HHS KL2 TR000102NIDCD NIH HHS R01 DC014960NIDCD NIH HHS R13 DC003383NIDCD NIH HHS R21 DC014087
6 · The paper itself

Abstract

Purpose Understanding the brain basis of language and cognitive outcomes is a major goal of aphasia research. Prior studies have not often considered the many ways that brain features can relate to behavioral outcomes or the mechanisms underlying these relationships. The purpose of this review article is to provide a new framework for understanding the ways that brain features may relate to language and cognitive outcomes from stroke. Method Brain-behavior relationships that may be important for aphasia outcomes are organized into a taxonomy, including features of the lesion and features of brain tissue spared by the lesion. Features of spared brain tissue are categorized into those that change after stroke and those that do not. Features that change are further subdivided, and multiple mechanisms of brain change after stroke are discussed. Results Features of the stroke, including size, location, and white matter damage, relate to many behavioral outcomes and likely account for most of the variance in outcomes. Features of the spared brain tissue that are unchanged by stroke, such as prior ischemic disease in the white matter, contribute to outcomes. Many different neurobiological and behavioral mechanisms may drive changes in the brain after stroke in association with behavioral recovery. Changes primarily driven by neurobiology are likely to occur in brain regions with a systematic relationship to the stroke distribution. Changes primarily driven by behavior are likely to occur in brain networks related to the behavior driving the change. Conclusions Organizing the various hypothesized brain-behavior relationships according to this framework and considering the mechanisms that drive these relationships may help investigators develop specific experimental designs and more complete statistical models to explain language and cognitive abilities after stroke. Eight main recommendations for future research are provided. Presentation Video https://doi.org/10.23641/asha.10257578.

Indexed as

BehaviorAphasiaBrainHumansNeuronal PlasticityRecovery of FunctionStroke

Identifiers

PMID31756155
PMCPMC7203524

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.