ArticleHuman brain mapping2017
The canonical semantic network supports residual language function in chronic post-stroke aphasia.
Article in Human brain mapping, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 2 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.
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Who cites it
37 citing papers in PubMed, 2 syntheses or guidelines pooled it, 56 citations in OpenAlex.
- The Role of the Right Language Network and the Multiple-Demand Network in Verbal Semantics: Insights From an Activation Likelihood Estimation Meta-Analysis of 561 Functional Neuroimaging Studies.Human brain mapping · 2025Pooled it
- Neural Resources Supporting Language Production vs. Comprehension in Chronic Post-stroke Aphasia: A Meta-Analysis Using Activation Likelihood Estimates.Frontiers in human neuroscience · 2021Pooled it
- Trial
- A Pilot Randomized Controlled Trial of Intermittent Theta Burst Stimulation as Stand-Alone Treatment for Post-Stroke Aphasia: Effects on Language and Verbal Functional Magnetic Resonance Imaging (fMRI).Medical science monitor : international medical journal of experimental and clinical research · 2021Trial
- 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
- Dynamic functional reorganization in post-stroke aphasia: a state-of-the-art fMRI review from disease evolution to intervention.Frontiers in neuroscience · 2026Review
- Dynamic reorganization of task-related network interactions in post-stroke aphasia recovery.Brain : a journal of neurology · 2025Article
- Independent contributions of language activations in left and right temporal cortex to aphasia outcomes after stroke.medRxiv : the preprint server for health sciences · 2025Article
- Lesion and lesion network localization of dysnomia after epilepsy surgery.Brain : a journal of neurology · 2025Article
- Cerebello-Cerebral Resting-State Functional Connectivity in Poststroke Aphasia.Brain connectivity · 2025Article
- A Rose by Any Other Name: Mapping Taxonomic and Thematic Naming Errors Poststroke.Journal of cognitive neuroscience · 2024Article
- The role of language-related functional brain regions and white matter tracts in network plasticity of post-stroke aphasia.Journal of neurology · 2024Review
- Disentangling neuroplasticity mechanisms in post-stroke language recovery.Brain and language · 2024Review
- Bayesian longitudinal tensor response regression for modeling neuroplasticity.Human brain mapping · 2023Article
- Functional Magnetic Resonance Imaging Activation During Unscripted Discourse in People With Poststroke Aphasia.Journal of speech, language, and hearing research : JSLHR · 2023Article
- Semantic network activation facilitates oral word reading in chronic aphasia.Brain and language · 2022Article
- Generalizable predictive modeling of semantic processing ability from functional brain connectivity.Human brain mapping · 2022Article
- Structural Integrity and Functional Neural Activity Associated with Oral Language Function after Stroke.Journal of clinical medicine · 2022Article
- Predictors of Therapy Response in Chronic Aphasia: Building a Foundation for Personalized Aphasia Therapy.Journal of stroke · 2022Review
- Lesion correlates of auditory sentence comprehension deficits in post-stroke aphasia.Neuroimage. Reports · 2022Article
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
Abstract
Current theories of language recovery after stroke are limited by a reliance on small studies. Here, we aimed to test predictions of current theory and resolve inconsistencies regarding right hemispheric contributions to long-term recovery. We first defined the canonical semantic network in 43 healthy controls. Then, in a group of 43 patients with chronic post-stroke aphasia, we tested whether activity in this network predicted performance on measures of semantic comprehension, naming, and fluency while controlling for lesion volume effects. Canonical network activation accounted for 22%-33% of the variance in language test scores. Whole-brain analyses corroborated these findings, and revealed a core set of regions showing positive relationships to all language measures. We next evaluated the relationship between activation magnitudes in left and right hemispheric portions of the network, and characterized how right hemispheric activation related to the extent of left hemispheric damage. Activation magnitudes in each hemispheric network were strongly correlated, but four right frontal regions showed heightened activity in patients with large lesions. Activity in two of these regions (inferior frontal gyrus pars opercularis and supplementary motor area) was associated with better language abilities in patients with larger lesions, but poorer language abilities in patients with smaller lesions. Our results indicate that bilateral language networks support language processing after stroke, and that right hemispheric activations related to extensive left hemispheric damage occur outside of the canonical semantic network and differentially relate to behavior depending on the extent of left hemispheric damage. Hum Brain Mapp 38:1636-1658, 2017. © 2016 Wiley Periodicals, Inc.
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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.