NIH R01 · 2025
Abstract Post-stroke chronic aphasia is a prevalent language processing problem commonly associated with significantly reduced quality of life. Unfortunately, our knowledge of the personalized factors underlying aphasia severity remains incomplete, and only 50% of the variance can be explained by comprehensive models that incorporate lesion characteristics, demographic variables, and cognitive factors. Importantly, age is a predictor of aphasia severity, but this relationship is inconsistent and the interplay between age, age-related brain integrity and aphasia is not well-understood. A better understanding of how aging affects brain integrity and interferes with aphasia would clarify an…
From the public funding record at NIH RePORTER. Describes the funded project, not the reviews below.