Evidence map›Paper›PMID 39883566›Full record

ArticleBrain : a journal of neurology2025

Dynamic reorganization of task-related network interactions in post-stroke aphasia recovery.

Zhizhao Jiang, Philipp Kuhnke, Anika Stockert, Max Wawrzyniak, Ajay Halai, Dorothee Saur, Gesa Hartwigsen

Abstract read
In one paragraph

Article in Brain : a journal of neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

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

  1. Pooled it
  2. Pooled it
  3. Observational
  4. Accelerated brain aging and anterior white matter hyperintensity burden in chronic post-stroke aphasia: a lesion-aware MRI analysis.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
    Article
  5. Review
  6. Article
  7. Article
  8. Right hemisphere language network plasticity in aphasia.Brain : a journal of neurology · 2026
    Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Altered Dynamic Functional Network Connectivity in Post-Stroke Aphasia.Annals of clinical and translational neurology · 2026
    Article
  15. Right Hemisphere Language Network Plasticity in Aphasia.medRxiv : the preprint server for health sciences · 2025
    Article
  16. Article
  17. 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

7 authors.

Zhizhao JiangMax Planck Institute for Human Cognitive and Brain Sciences, 04103 Leipzig, Germany.ORCID 0009-0008-6896-5729
Philipp KuhnkeMax Planck Institute for Human Cognitive and Brain Sciences, 04103 Leipzig, Germany.ORCID 0000-0002-9778-4977
Anika StockertDepartment of Neurology, Leipzig University Medical Center, 04103 Leipzig, Germany.ORCID 0000-0001-5804-2498
Max WawrzyniakDepartment of Neurology, Leipzig University Medical Center, 04103 Leipzig, Germany.ORCID 0000-0002-5089-1214
Ajay HalaiMRC Cognition and Brain Science Unit, University of Cambridge, Cambridge, CB2 7EF, UK.ORCID 0000-0003-1725-7948
Dorothee SaurDepartment of Neurology, Leipzig University Medical Center, 04103 Leipzig, Germany.
Gesa HartwigsenMax Planck Institute for Human Cognitive and Brain Sciences, 04103 Leipzig, Germany.ORCID 0000-0002-8084-1330

Funding

European Research Council ERC-COG-2021-101043747German Research Foundation DFG, HA 6314/4-2German Research Foundation HA 6314/10-1German Research Foundation SA 1723/5-1
6 · The paper itself

Abstract

Post-stroke aphasia is a network disorder characterized by language impairments and aberrant network activation. While patients with post-stroke aphasia recover over time, the dynamics of the underlying changes in the brain remain elusive. Neuroimaging work demonstrated that language recovery is a heterogeneous process, characterized by varying activation levels in several regions of the left-hemispheric language network and the domain-general bilateral multiple-demand network. Crucially, this activation seems to depend on the time elapsed since stroke and the lesion location. Yet, beyond task-related brain activation, the degree and nature of interactions between regions of the language and the multiple-demand network are not well understood. In this longitudinal functional neuroimaging study, we characterized task-related functional interactions between regions of the language and the multiple-demand network during language processing. We hypothesized that interactions between language regions and between language and multiple-demand regions should change over time and depend on lesion location. We compared changes in effective connectivity in patients with left-hemispheric frontal or temporo-parietal stroke (n = 17 per group) and healthy controls (n = 17) with Dynamic Causal Modelling. All patients repeatedly underwent an auditory sentence comprehension paradigm during functional neuroimaging in the acute (≤1 week), subacute (1-2 weeks) and chronic (>6 months) phases after stroke. We found overall increased task-related connectivity from regions of the multiple-demand to the language network across patients, resembling the principal pattern of task-related interactions in controls. Early facilitation from multiple-demand to language regions correlated with later language improvement across both groups. Crucially, recruitment of specific connections from regions of the multiple-demand to language network depended on lesion location and changed over time. In the chronic phase, patients with frontal stroke showed facilitatory modulation from the right dorsolateral prefrontal cortex, while patients with temporo-parietal stroke integrated the supplementary motor area/dorsal anterior cingulate cortex. Besides this across-network reorganization, facilitatory connectivity between regions of the language network emerged in all patients in the subacute phase. Additionally, patients with frontal stroke showed facilitatory influences from the right lesion homologue to the remaining undamaged left inferior frontal cortex in the acute phase. Collectively, we provide first evidence that functional interactions of regions within and across the language and the multiple-demand network facilitate aphasia recovery. The identified dynamic reorganization principles over the time course of recovery may inform the future use of personalized treatment protocols with neurostimulation in aphasia rehabilitation. These protocols should be tailored to the individual lesion location and recovery phase.

Indexed as

AphasiaBrainNerve NetRecovery of FunctionStrokeAdultAgedBrain MappingFemaleHumansLanguageLongitudinal StudiesMagnetic Resonance ImagingMaleMiddle Agedaphasiadynamic causal modellingeffective connectivitylanguagelanguage networkmultiple-demand network

Identifiers

PMID39883566
PMCPMC12493039

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Registered trials

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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.