ArticleNeuroImage. Clinical2019
A lesion and connectivity-based hierarchical model of chronic aphasia recovery dissociates patients and healthy controls.
Article in NeuroImage. Clinical, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- 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
- Effective neural connectivity deficits during speech auditory feedback processing in post-stroke aphasia: An fMRI study.Cortex; a journal devoted to the study of the nervous system and behavior · 2025Article
- Article
- Using unsupervised dimensionality reduction to identify lesion patterns predictive of post-stroke aphasia severity.Cortex; a journal devoted to the study of the nervous system and behavior · 2025Article
- Individualized connectomic tACS immediately improves oscillatory network with language facilitation in post-stroke aphasia: a feasibility study of a dysfunctome-based targeting approach.Frontiers in computational neuroscience · 2025Article
- White matter microstructural integrity pre- and post-treatment in individuals with chronic post-stroke aphasia.Brain and language · 2022Article
- Understanding, facilitating and predicting aphasia recovery after rehabilitation.International journal of speech-language pathology · 2022Review
- Understanding Language Reorganization With Neuroimaging: How Language Adapts to Different Focal Lesions and Insights Into Clinical Applications.Frontiers in human neuroscience · 2022Review
- LEX-BADAT: Language EXperience in Bilinguals With and Without Aphasia DATaset.Frontiers in psychology · 2022Article
- Abnormally weak functional connections get stronger in chronic stroke patients who benefit from naming therapy.Brain and language · 2021Article
- Simultaneous Normalization and Compensatory Changes in Right Hemisphere Connectivity during Aphasia Therapy.Brain sciences · 2021Article
- Machine learning-based multimodal prediction of language outcomes in chronic aphasia.Human brain mapping · 2021Article
- Defining Hypoperfusion in Chronic Aphasia: An Individualized Thresholding Approach.Brain sciences · 2021Article
- Investigating Language and Domain-General Processing in Neurotypicals and Individuals With Aphasia - A Functional Near-Infrared Spectroscopy Pilot Study.Frontiers in human neuroscience · 2021Article
- Neuroplasticity in post-stroke aphasia: A systematic review and meta-analysis of functional imaging studies of reorganization of language processing.Neurobiology of language (Cambridge, Mass.) · 2021Article
- The role of microstructural integrity of major language pathways in narrative speech in the first year after stroke.Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association · 2020Article
- Pre-treatment graph measures of a functional semantic network are associated with naming therapy outcomes in chronic aphasia.Brain and language · 2020Article
- Neuroplasticity in Aphasia: A Proposed Framework of Language Recovery.Journal of speech, language, and hearing research : JSLHR · 2019Review
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Traditional models of left hemisphere stroke recovery propose that reactivation of remaining ipsilesional tissue is optimal for language processing whereas reliance on contralesional right hemisphere homologues is less beneficial or possibly maladaptive in the chronic recovery stage. However, neuroimaging evidence for this proposal is mixed. This study aimed to elucidate patterns of effective connectivity in patients with chronic aphasia in light of healthy control connectivity patterns and in relation to damaged tissue within left hemisphere regions of interest and according to performance on a semantic decision task. Using fMRI and dynamic causal modeling, biologically-plausible models within four model families were created to correspond to potential neural recovery patterns, including Family A: Left-lateralized connectivity (i.e., no/minimal damage), Family B: Bilateral anterior-weighted connectivity (i.e., posterior damage), Family C: Bilateral posterior-weighted connectivity (i.e., anterior damage) and Family D: Right-lateralized connectivity (i.e., extensive damage). Controls exhibited a strong preference for left-lateralized network models (Family A) whereas patients demonstrated a split preference for Families A and C. At the level of connections, controls exhibited stronger left intrahemispheric task-modulated connections than did patients. Within the patient group, damage to left superior frontal structures resulted in greater right intrahemispheric connectivity whereas damage to left ventral structures resulted in heightened modulation of left frontal regions. Lesion metrics best predicted accuracy on the fMRI task and aphasia severity whereas left intrahemispheric connectivity predicted fMRI task reaction times. These results are discussed within the context of the hierarchical recovery model of chronic aphasia.
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