Official Title: Genetic and MRI Biomarkers of Neuroplasticity Predict Aphasia Recovery and Phenotypes
Status: NOT_YET_RECRUITING
Status Verified Date: 2024-09
Last Known Status: None
Delayed Posting: No
If Stopped, Why?: Not Stopped
Has Expanded Access: False
If Expanded Access, NCT#: N/A
Has Expanded Access, NCT# Status: N/A
Acronym: None
Brief Summary: Patients with stroke frequently suffer from aphasia a disorder of expressive andor 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
Detailed 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