Project 3 Stroke is the leading cause of disability in the United States. Speech and language deficits (aphasia) following stroke are common. Yet, some individuals with aphasia experience rapid spontaneous recovery while others are left with persistent deficits. Likewise, rehabilitation appears to help some individuals but not others. Beyond the severity of initial impairments, we have no proven way to predict the extent of recovery one can expect. We suggest that better prognostic measures could help tailor individual treatment. The objective of this proposal is to determine whether the combination of neuroimaging, acute behavior and other biomarkers can improve our ability to map and predict recovery from stroke. First, we will use a new technique to map the anatomy of apraxia of speech, aphasia, a common symptom of left hemisphere injury. Second, we will see if we can predict the effectiveness of treatment provided to patients with chronic aphasia. Third, we will see whether these methods can also predict recovery in acute/subacute patients who receive either rehabilitation or a combined rehabilitation and brain stimulation therapy. Finally, we will explore if this computer-aided prognosis can be fully automated, providing an objective tool to help predict recovery from stroke.

Public Health Relevance

Project 3 Speech and language deficits are common following stroke. We suggest that the combination of behavioral testing, neuroimaging measures and other biomarkers may provide accurate prediction for recovery and the efficacy of treatment.

Agency
National Institute of Health (NIH)
Institute
National Institute on Deafness and Other Communication Disorders (NIDCD)
Type
Specialized Center (P50)
Project #
5P50DC014664-05
Application #
9889939
Study Section
Special Emphasis Panel (ZDC1)
Project Start
Project End
Budget Start
2020-04-01
Budget End
2021-03-31
Support Year
5
Fiscal Year
2020
Total Cost
Indirect Cost
Name
University of South Carolina at Columbia
Department
Type
DUNS #
041387846
City
Columbia
State
SC
Country
United States
Zip Code
29208
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Shahid, Hinna; Sebastian, Rajani; Tippett, Donna C et al. (2018) Regional Brain Dysfunction Associated with Semantic Errors in Comprehension. Semin Speech Lang 39:79-86

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