ArticleAmerican journal of speech-language pathology2019
Progression of Aphasia Severity in the Chronic Stages of Stroke.
Article in American journal of speech-language pathology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.
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Who cites it
36 citing papers in PubMed.
- Predicting Outcomes of Language Rehabilitation: Prognostic Factors for Immediate and Long-Term Outcomes After Aphasia Therapy.Journal of speech, language, and hearing research : JSLHR · 2023Trial
- Trial
- The efficacy of a directed rhythmic-melodic voice training in the treatment of chronic non-fluent aphasia-Behavioral and imaging results.Journal of neurology · 2022Trial
- Intermittent Theta Burst Stimulation (iTBS) for Treatment of Chronic Post-Stroke Aphasia: Results of a Pilot Randomized, Double-Blind, Sham-Controlled Trial.Medical science monitor : international medical journal of experimental and clinical research · 2021Trial
- Article
- Digital Twin Model of Treatment Outcomes in Post-Stroke Aphasia.medRxiv : the preprint server for health sciences · 2026Article
- Right hemisphere atrophy rate associates with naming recovery after left hemisphere ischaemic stroke.Brain communications · 2026Article
- The nonlinear trajectory of post-stroke aphasia recovery.Frontiers in human neuroscience · 2026Review
- The Effect of Age on Post-Stroke Language Outcomes.Journal of aging research · 2026Article
- Article
- Charting the Course of Aphasia Recovery: Factors, Trajectories, and Outcomes.Annual review of linguistics · 2025Article
- Advanced brain aging mediates the relationship between cardiovascular health and aphasia severity in chronic stroke.Aging brain · 2025Article
- Neural Predictors for the Generalization of Semantic and Phonological Treatment to Discourse Performance in Chronic Post-Stroke Aphasia.Neurobiology of language (Cambridge, Mass.) · 2025Article
- TEleRehabilitation foR Aphasia (TERRA) phase II trial design.Contemporary clinical trials communications · 2024Article
- The Aphasia Recovery Cohort, an open-source chronic stroke repository.Scientific data · 2024Article
- Regional brain aging: premature aging of the domain general system predicts aphasia severity.Communications biology · 2024Article
- Predicting Language Function Post-Stroke: A Model-Based Structural Connectivity Approach.Neurorehabilitation and neural repair · 2024Article
- Insights gained over 60 years on factors shaping post-stroke aphasia recovery: A commentary on Vignolo (1964).Cortex; a journal devoted to the study of the nervous system and behavior · 2024Article
- Under pressure: the interplay of hypertension and white matter hyperintensities with cognition in chronic stroke aphasia.Brain communications · 2024Article
- Investigating Aphasia Recovery: Demographic and Clinical Factors.Brain sciences · 2023Article
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Authors and funding
7 authors.
Funding
Abstract
Background and Purpose The severity of aphasic impairment in chronic stroke survivors is typically thought to be stable by 6 months postonset. However, a recent study showed that stroke survivors with aphasia experience language improvement or decline in the chronic phase, years beyond onset. Little is known about why some individuals improve whereas others remain stable or decline. Additionally, no study has tracked changes in aphasia from assessments completed at multiple time points across many years. The current study offers a comprehensive analysis of potential predictive demographic and health information to determine which factors predict dynamic changes in aphasia severity in chronic stroke. Methods Individuals in the chronic stage of a single-event, left-hemisphere ischemic stroke were identified from an archival database and included for study ( N = 39). Participants were included if they had undergone 2 or more standardized language assessments acquired at time points at least 6 months apart, with the 1st assessment at least 6 months postinjury. A linear mixed-effects model was used to determine the impact of treatment and a variety of demographic and health factors on language change. Results Over time, half of the participants improved (51%), whereas approximately a quarter (26%) decreased, and a quarter (23%) remained stable. A greater number of aphasia treatment hours significantly predicted language improvement ( p = .03), whereas older stroke age was associated with long-term decline ( p = .04). Two interactions were found to be significant in predicting improvement in individuals with diabetes: Increased exercise and younger age at stroke were significant in predicting outcomes ( p < .05). Conclusions Factors that significantly influence language recovery in chronic aphasia include stroke age and receiving aphasia treatment. For those with diabetes, increased exercise was shown to improve outcomes. Results from this study offer clinicians greater insight into the influence of patient factors on long-term recovery from stroke aphasia while suggesting a potential adjunct to language therapy: exercise. Supplemental Material https://doi.org/10.23641/asha.7849304.
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