1. Genetic and Neurophysiological Biomarkers of Neuroplasticity Inform Post-Stroke Language Recovery.
- Author
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Dresang HC, Harvey DY, Xie SX, Shah-Basak PP, DeLoretta L, Wurzman R, Parchure SY, Sacchetti D, Faseyitan O, Lohoff FW, and Hamilton RH
- Subjects
- Biomarkers, Brain-Derived Neurotrophic Factor genetics, Humans, Language, Neuronal Plasticity genetics, Transcranial Magnetic Stimulation, Aphasia genetics, Stroke complications, Stroke genetics
- 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 (Val
66 Met) 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 subsequent to left-hemisphere stroke. MEPs were collected prior to continuous theta burst stimulation (cTBS; index for cortical excitability) and 10 minutes following cTBS (index for stimulation-induced neuroplasticity) to the right primary motor cortex. Analyses assessed the extent to which BDNF polymorphism interacted with cortical excitability and stimulation-induced neuroplasticity to predict aphasia severity beyond established predictors., Results: Val66 Val carriers showed less aphasia severity than Val66 Met carriers, after controlling for lesion volume and time post-stroke. Furthermore, Val66 Val carriers showed expected effects of age on aphasia severity, and positive associations between severity and both cortical excitability and stimulation-induced neuroplasticity. In contrast, Val66 Met carriers showed weaker effects of age and negative associations between cortical excitability, stimulation-induced neuroplasticity and aphasia severity., Conclusions: Neurophysiological indicators and genetic biomarkers of neuroplasticity improved aphasia severity predictions. Furthermore, BDNF polymorphism interacted with cortical excitability and stimulation-induced neuroplasticity to improve predictions. These findings provide novel insights into mechanisms of variability in stroke recovery and may improve aphasia prognostics.- Published
- 2022
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