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Patients with stroke frequently suffer from aphasia, a disorder of expressive and/or receptive language, that can lead to serious health consequences, including social isolation, depression, reduced quality of life, and increased caregiver burden. Aphasia recovery varies greatly between individuals, and likely relies upon the capacity for neuroplasticity, both at a systems level of reorganized brain networks and a molecular level of neuronal repair and plasticity. The proposed work will evaluate genetic and neural network biological markers of neuroplasticity associated with variability in aphasia, with a future goal to improve prognostics and identify therapeutic targets to reduce the long-term burdens of aphasia.
Full description
Aphasia is an acquired neurologic language disorder that is among the most challenging long-term disabilities for stroke survivors, often leading to social isolation and reduced quality of life. Recovery from aphasia relies on plasticity in residual brain networks. However, neuroplasticity varies substantially across individuals, making the presence, severity, and phenotype of language impairments challenging to predict. A vital step toward post-stroke precision medicine is identifying neuroplasticity-related biological markers that can improve prognostic models and targeted neurorehabilitation therapies for people with aphasia. The proposed research will test the central hypothesis that individual differences in neuroplasticity, measured through genetic polymorphisms and longitudinal neuroimaging connectivity biomarkers, will account for significant variance in post-stroke aphasia recovery. This 5-year project will include three specific aims. Aim 1 is to index spontaneous recovery by determining relationships between genetic biomarkers of plasticity, longitudinal neural network connectivity, and changes in language during sub-acute to chronic stroke recovery. Aim 2 is to identify genetic and MRI biomarkers predictive of chronic post-stroke aphasia severity and phenotypes. Aim 3 is to characterize genetic and MRI biomarkers associated with verbal learning variability in chronic aphasia. These data will support the development of a larger, multi-site R01 study to examine interactions between multiple biomarkers of neuroplasticity that inform longitudinal aphasia prognostics and treatment efficacy.
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90 participants in 1 patient group
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Haley Dresang, PhD
Data sourced from clinicaltrials.gov
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