# Combining behavior, neuroimaging and biomarkers to predict language deficits after stroke

> **NIH NIH P50** · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · 2020 · $162,726

## Abstract

Summary: 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.

## Key facts

- **NIH application ID:** 9889939
- **Project number:** 5P50DC014664-05
- **Recipient organization:** UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA
- **Principal Investigator:** Christopher Rorden
- **Activity code:** P50 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $162,726
- **Award type:** 5
- **Project period:** — → —

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9889939

## Citation

> US National Institutes of Health, RePORTER application 9889939, Combining behavior, neuroimaging and biomarkers to predict language deficits after stroke (5P50DC014664-05). Retrieved via AI Analytics 2026-07-27 from https://api.ai-analytics.org/grant/nih/9889939. Licensed CC0.

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