Evidence map›Paper›PMID 38401381›Full record

ReviewBrain and language2024

Disentangling neuroplasticity mechanisms in post-stroke language recovery.

Anne Billot, Swathi Kiran

Open access · greenAbstract readReview
In one paragraph

Review in Brain and language, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
6.5field-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

15 citing papers in PubMed, 19 citations in OpenAlex.

  1. Observational
  2. Article
  3. Article
  4. Right hemisphere language network plasticity in aphasia.Brain : a journal of neurology · 2026
    Article
  5. Article
  6. Article
  7. The nonlinear trajectory of post-stroke aphasia recovery.Frontiers in human neuroscience · 2026
    Review
  8. Article
  9. Identifying left and right hemispheres using functional connectivity.bioRxiv : the preprint server for biology · 2025
    Article
  10. Review
  11. Article
  12. Review
  13. Right Hemisphere Language Network Plasticity in Aphasia.medRxiv : the preprint server for health sciences · 2025
    Article
  14. Article
  15. 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

2 authors at 1 institution in 1 country.

Anne BillotCenter for Brain Recovery, Boston University, Boston, USA; Department of Psychology, Center for Brain Science, Harvard University, Cambridge, Massachusetts, USA; Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA.
Swathi KiranCenter for Brain Recovery, Boston University, Boston, USA. Electronic address: kirans@bu.edu.
Boston University · US

Funding

Predicting rehabilitation outcomes in bilingual aphasia using computational modelingU01DC014922 · NIDCD · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI KIRAN, SWATHI, MIIKKULAINEN, RISTO · 2016 to 2020
$3.5M
Functional reorganization of the language and domain-general multiple demand systems in aphasiaR01DC016950 · NIDCD · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI FEDORENKO, EVELINA, KIRAN, SWATHI · 2019 to 2023
$3.2M
Computational modeling of language impairment and control in bilingual individuals with post-stroke aphasia and neurodegenerative disordersR01DC020653 · NIDCD · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI Swathi Kiran, RISTO MIIKKULAINEN · 2023 to 2026
$2.6M
NIDCD NIH HHS R01 DC016950NIDCD NIH HHS R01 DC020653NIDCD NIH HHS U01 DC014922
6 · The paper itself

Abstract

A major objective in post-stroke aphasia research is to gain a deeper understanding of neuroplastic mechanisms that drive language recovery, with the ultimate goal of enhancing treatment outcomes. Subsequent to recent advances in neuroimaging techniques, we now have the ability to examine more closely how neural activity patterns change after a stroke. However, the way these neural activity changes relate to language impairments and language recovery is still debated. The aim of this review is to provide a theoretical framework to better investigate and interpret neuroplasticity mechanisms underlying language recovery in post-stroke aphasia. We detail two sets of neuroplasticity mechanisms observed at the synaptic level that may explain functional neuroimaging findings in post-stroke aphasia recovery at the network level: feedback-based homeostatic plasticity and associative Hebbian plasticity. In conjunction with these plasticity mechanisms, higher-order cognitive control processes dynamically modulate neural activity in other regions to meet communication demands, despite reduced neural resources. This work provides a network-level neurobiological framework for understanding neural changes observed in post-stroke aphasia and can be used to define guidelines for personalized treatment development.

Indexed as

AphasiaStrokeHumansLanguageNeuroimagingNeuronal PlasticityRecovery of FunctionAphasiaControlfMRIHebbian plasticityHomeostatic plasticityNeuroplasticityRecoveryRehabilitationStroke

Identifiers

PMID38401381
PMCPMC10981555
OpenAlexW4392135025

What OpenQuestion holds

Textmetadata
LicenceTDM
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.