ArticleScientific reports2021
Predicting language recovery in post-stroke aphasia using behavior and functional MRI.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01927302 (The Center for the Neurobiology of Language Recovery), which is not on this map. Cited by 17 papers, 4 of them syntheses that pooled 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.
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.
The Center for the Neurobiology of Language Recovery (CNLR)
Who cites it
17 citing papers in PubMed, 4 syntheses or guidelines pooled it, 28 citations in OpenAlex.
- Research trends in post-stroke aphasia (2004-2024): a bibliometric and visualized analysis.Frontiers in neurology · 2025Pooled it
- A literature review and meta-analysis of the optimal factors study of repetitive transcranial magnetic stimulation in post-infarction aphasia.European journal of medical research · 2024Pooled it
- Repetitive transcranial magnetic stimulation for post-stroke non-fluent aphasia: a systematic review and meta-analysis of randomized controlled trials.Frontiers in neurology · 2024Pooled it
- Application of diffusion tensor imaging in the diagnosis of post-stroke aphasia: a meta-analysis and systematic review.Frontiers in psychology · 2023Pooled it
- Altered Dynamic Functional Network Connectivity in Post-Stroke Aphasia.Annals of clinical and translational neurology · 2026Article
- Network flexibility facilitates treatment-induced recovery in post-stroke aphasia.Brain communications · 2026Article
- Navigating the Complexity of Bilingual Aphasia: Current Insights and Future Directions.Brain sciences · 2025Review
- Resting-State fMRI and Post-Ischemic Stroke Functional Recovery: Unraveling Causality and Predicting Therapeutic Targets.International journal of molecular sciences · 2025Article
- Cerebello-Cerebral Resting-State Functional Connectivity in Poststroke Aphasia.Brain connectivity · 2025Article
- Changes in ultrasonic vocalizations after unilateral cerebral ischemia in a rat stroke model.Behavioural brain research · 2023Article
- Multimodal Neural and Behavioral Data Predict Response to Rehabilitation in Chronic Poststroke Aphasia.Stroke · 2022Article
- Predictors of Therapy Response in Chronic Aphasia: Building a Foundation for Personalized Aphasia Therapy.Journal of stroke · 2022Review
- Neuroimaging biomarkers of cognitive recovery after ischemic stroke.Frontiers in neurology · 2022Review
- Edge-centric analysis of stroke patients: An alternative approach for biomarkers of lesion recovery.NeuroImage. Clinical · 2022Article
- Combined lesion-deficit and fMRI approaches in single-case studies: Unique contributions to cognitive neuroscience.Current opinion in behavioral sciences · 2021Article
- Neurocognitive Recovery of Sentence Processing in Aphasia.Journal of speech, language, and hearing research : JSLHR · 2019Review
- Effects of non-invasive brain stimulation on spontaneous neural activity in post-stroke aphasia: a protocol for a coordinate-based meta-analysis of fALFF studies.Frontiers in neurologyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 5 institutions in 1 country.
Funding
Abstract
Language outcomes after speech and language therapy in post-stroke aphasia are challenging to predict. This study examines behavioral language measures and resting state fMRI (rsfMRI) as predictors of treatment outcome. Fifty-seven patients with chronic aphasia were recruited and treated for one of three aphasia impairments: anomia, agrammatism, or dysgraphia. Treatment effect was measured by performance on a treatment-specific language measure, assessed before and after three months of language therapy. Each patient also underwent an additional 27 language assessments and a rsfMRI scan at baseline. Patient scans were decomposed into 20 components by group independent component analysis, and the fractional amplitude of low-frequency fluctuations (fALFF) was calculated for each component time series. Post-treatment performance was modelled with elastic net regression, using pre-treatment performance and either behavioral language measures or fALFF imaging predictors. Analysis showed strong performance for behavioral measures in anomia (R
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Registered trials
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.