Aphasia is a common outcome following brain injury and often leads to long-term disability and diminished quality of life. Language production disorders in particular, such as difficulty finding the right word or problems speaking in sentences, are the most common symptoms of aphasia, and significantly hinder communication and social participation. While some people with language production deficits recover well during the first year after injury, others will not, and this discrepancy in outcomes is largely unpredictable. Many factors affect recovery patterns across individuals, one of which is the involvement of different neuroanatomical structures in the resulting impairment and subsequent degree of recovery. Surprisingly, little is known about structural changes in the brain accompanying recovery from language production deficits in aphasia, though preliminary evidence suggests they may be better predictors of recovery than traditionally-used functional change measures. The proposed longitudinal, multimodal neuroimaging study will explore the patterns of recovery in a large group of individuals with aphasia following stroke. By combining a number of novel techniques, we will investigate the contributions of numerous gray and white matter structures to the recovery of language production deficits. Fifty individuals with aphasia will be tested at 1-, 3- and 12-months post stroke on various measures of language production at the word, sentence and discourse level to establish baseline measures of performance and monitor changes across the different stages of recovery. At the same three time points, participants will undergo structural MRI and high angular resolution diffusion imaging (HARDI) to determine lesion site, white matter integrity, and changes in grey and white matter over time. The first main objective of the study is to determine which damaged cortical regions and white matter pathways impede recovery of language production throughout the first year. The second main objective is to measure neuronal changes in gray matter morphometry and white matter integrity that accompany observed behavioral improvement. Evaluating different time periods during the first year post-stroke will enable us to tease out neural indices predicting, impeding, and supporting language recovery at different stages. The proposed project will be the first comprehensive longitudinal study using state-of-the art techniques to examine plasticity within gray matter regions and white matter tracts and their contribution to recovery of different language levels over the course of one full year. In the end, the results of this study will provide important insights into factors contributing to successful recovery of language abilities and enable clinicians to utilize neuroimaging information in prognosis and selection of the most optimal treatments.

Public Health Relevance

Each year roughly 80,000 Americans develop aphasia, or language disorder, as a result of stroke, head injury or other neurologic insults. Most individuals with aphasia have difficulty producing words and sentences which impairs their ability to communicate naturally. Some have an even more severe disorder that prevents them from producing any words at all. Some people recover very well from this disorder, while others do not, and the reason why is unclear. The proposed study will use state-of-the-art brain imaging tools to examine the underlying brain structures important for recovery of language production. We will also focus on the fiber pathways that connect these brain regions to one another, as we have found them to be critical for supporting speech and language functions and expect them to play a key role in recovery, as well. Information resulting from this study will provide clinicians with the information they need to give people with aphasia the most accurate diagnosis, prognosis, and effective treatment to date.

Agency
National Institute of Health (NIH)
Institute
National Institute on Deafness and Other Communication Disorders (NIDCD)
Type
Research Project (R01)
Project #
7R01DC016345-02
Application #
9542316
Study Section
Language and Communication Study Section (LCOM)
Program Officer
Cooper, Judith
Project Start
2017-08-09
Project End
2022-07-31
Budget Start
2018-08-01
Budget End
2019-07-31
Support Year
2
Fiscal Year
2018
Total Cost
Indirect Cost
Name
University of California Berkeley
Department
Psychology
Type
Schools of Arts and Sciences
DUNS #
124726725
City
Berkeley
State
CA
Country
United States
Zip Code
94704
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Dronkers, Nina F; Ivanova, Maria V; Baldo, Juliana V (2017) What Do Language Disorders Reveal about Brain-Language Relationships? From Classic Models to Network Approaches. J Int Neuropsychol Soc 23:741-754