Predicting Rehabilitation Outcomes in Bilingual Aphasia Using Computational Modeling
Status unconfirmed · Not applicable
Conditions studied: Aphasia
In brief
The purpose of this investigation is to implement a computational model that can predict and optimize training and cross-language generalization patterns for bilingual persons with aphasia (BPA). The proposed work will determine the best possible treatment program for each individual patient even before they are rehabilitated. In addition, the computational model allows specification of variables such as age of acquisition, language exposure/proficiency, impairment and their systematic influence on a range of language rehabilitation outcomes.
Key facts
- Study ID
- NCT02916524
- Run by
- Boston University Charles River Campus
- People needed
- 48
- Starts
- 2018-04-20
- Expected to finish
- 2023-07-31
- Last updated by the study team
- 2021-04-19
Who can join
Age: 18 and older, up to 85. Sex: any. Healthy volunteers: not accepted.
You may qualify if…
- Any number of years of education
- Bilingual: speaking both Spanish and English (or Chinese and English) with any degree of language proficiency prior to stroke
- Aphasia secondary to a left-hemisphere stroke (diagnosed by a neurologist on the basis of clinical CT/MRI imaging or medical reports)
- Aphasia resulting from stroke or dementia
- Naming deficits must be present with concurrent lexical/semantic impairment
- Visual and auditory acuity sufficient for all assessment and treatment procedures
- Ability to understand study and follow study procedures for the entire length of the study
You may not qualify if…
- Premorbid history of speech/language disorder
- Proficient in more than just Spanish and English (or Chinese and English)
- Overt, behaviorally noticeable, attentional limitations that interfere with completing the experimental tasks
- Active medical disease that may compromise participation (e.g., cancer undergoing acute treatment, unstable diabetes, renal or hepatic insufficiency, fluctuating systemic immunological disease such as systemic lupus erythematosis, etc.)
- Currently taking medications that are known to exert significant effects on cognitive processes, such as neuroleptics, steroids, anticholinesterase inhibitors, etc.
- Current drug or alcohol use or dependence that would interfere with adherence to study requirements, in the opinion of the principal investigator
- Inability or unwillingness of individual to give written informed consent
- Diagnosed with mental illness other than active depression
- Neurological condition other than that which resulted in aphasia
Where it is running
- San Francisco State University — San Francisco, California, United States (enrolling)
- Boston University Sargent College — Boston, Massachusetts, United States (enrolling)
- Austin Speech Labs — Austin, Texas, United States (enrolling)
Full record on ClinicalTrials.gov
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