Unknown

Dataset Information

Genetic and Neurophysiological Biomarkers of Neuroplasticity Inform Post-Stroke Language Recovery.


ABSTRACT:

Background

There is high variability in post-stroke aphasia severity and predicting recovery remains imprecise. Standard prognostics do not include neurophysiological indicators or genetic biomarkers of neuroplasticity, which may be critical sources of variability.

Objective

To evaluate whether a common polymorphism (Val66Met) in the gene for brain-derived neurotrophic factor (BDNF) contributes to variability in post-stroke aphasia, and to assess whether BDNF polymorphism interacts with neurophysiological indicators of neuroplasticity (cortical excitability and stimulation-induced neuroplasticity) to improve estimates of aphasia severity.

Methods

Saliva samples and motor-evoked potentials (MEPs) were collected from participants with chronic aphasia subseque

SUBMITTER: Dresang HC 

PROVIDER: S-EPMC9133188 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature