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| ID | Type | Description | Link |
|---|---|---|---|
| U01DC014922-01A1 | U.S. NIH Grant/Contract | View source |
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| Name | Class |
|---|---|
| National Institute on Deafness and Other Communication Disorders (NIDCD) | NIH |
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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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Model-based | Experimental | Semantic Feature Analysis training will be provided in the language that was selected by the computational model. |
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| Model-opposite | Active Comparator | Semantic Feature Analysis training will be provided in the language opposite to that which was selected by the computational model. |
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| Sub-Study: Computational Modeling for Bilingual Dementia and Semantic Decline | No Intervention | This is a sub-study aimed at building a computational model to simulate bilingual dementia and semantic decline. |
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Semantic Feature Analysis (SFA) | Behavioral | SFA training entails having the speech-language pathologist (SLP) guide the participant through generation of pertinent semantic features for pictured treatment items (e.g., category membership, physical description, location of item in context, action associated with item). Treatment is applied to a set of items in the context of single-subject, multiple baseline designs so that replication of treatment effects could be evaluated within and across participants. Treatment will be administered two times per week until prescribed accuracy levels were met during treatment probes or a maximum number of treatment sessions was completed. |
| Measure | Description | Time Frame |
|---|---|---|
| Word Retrieval Accuracy in both languages | Accuracy of naming of pictured treated and untreated items in both languages will be assessed in probes conducted separate from treatment. Probes were conducted repeatedly throughout the study, from baseline (prior to treatment) to the end of treatment. All naming responses were scored using as correct or incorrect. A percentage accuracy was calculated for each set of items for every probe session. Baseline probe scores were compared to end of treatment probe scores to obtain individual effect sizes for each sets of items for each participant (i.e., several effect sizes were calculated for each participant). | Through study completion, an average of 10 weeks |
| Measure | Description | Time Frame |
|---|---|---|
| Psycholinguistic assessments of language processing in aphasia (PALPA) in both languages | Reading single words and understanding spoken words | Week 1 and up to 10 weeks |
| Boston Naming Test (BNT) in both languages |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Nishaat Mukadam, MA | Contact | 617-353-2706 | mukadamn@bu.edu |
| Name | Affiliation | Role |
|---|---|---|
| Swathi Kiran, PhD | Boston University | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| San Francisco State University | Recruiting | San Francisco | California | 94132 | United States |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 40571559 | Derived | Russell-Meill M, Carpenter E, Marte MJ, Scimeca M, Penaloza C, Kiran S. Measurement of cross-language and cross-domain generalization following semantic feature-based anomia treatment in bilingual aphasia. Neuropsychol Rehabil. 2026 Apr;36(3):544-570. doi: 10.1080/09602011.2025.2522196. Epub 2025 Jun 26. | |
| 33208330 | Derived | Penaloza C, Dekhtyar M, Scimeca M, Carpenter E, Mukadam N, Kiran S. Predicting treatment outcomes for bilinguals with aphasia using computational modeling: Study protocol for the PROCoM randomised controlled trial. BMJ Open. 2020 Nov 18;10(11):e040495. doi: 10.1136/bmjopen-2020-040495. |
| Label | URL |
|---|---|
| Aphasia Research Laboratory website | View source |
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| ID | Term |
|---|---|
| D001037 | Aphasia |
| D007806 | Language Disorders |
| ID | Term |
|---|---|
| D013064 | Speech Disorders |
| D003147 | Communication Disorders |
| D019954 | Neurobehavioral Manifestations |
| D009461 | Neurologic Manifestations |
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|
Naming pictured items
| Week 1 and up to 10 weeks |
| Bilingual Aphasia Test (BAT) B and C in both languages | Assesses each of the languages of a bilingual or multilingual individual with aphasia | Week 1 and up to 10 weeks |
| Western Aphasia Battery (WAB) in both languages | Assesses the levels of impairment of aphasia | Week 1 and up to 10 weeks |
| Cognitive Linguistic Quick Test (CLQT) in both languages | Assesses the contribution of cognitive deficits to language dysfunction | Week 1 and up to 10 weeks |
| Verbal fluency task (COWAT) in both languages | Assesses general fluency | Week 1 and up to 10 weeks |
| Category fluency task in both languages | Assesses category fluency | Week 1 and up to 10 weeks |
| Communication Effectiveness Index (CETI) for both languages | Determines communication effectiveness by proxy | Week 1 and up to 10 weeks |
| Pyramids and Palm Trees Test (PAPT) 3 pictures version | Assesses semantic processing ability | Week 1 and up to 10 weeks |
| Aphasia Bank | Assesses discourse | Week 1 and up to 10 weeks |
| Boston University Sargent College | Recruiting | Boston | Massachusetts | 02215 | United States |
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| Austin Speech Labs | Recruiting | Austin | Texas | 78757 | United States |
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| D009422 | Nervous System Diseases |
| D012816 | Signs and Symptoms |
| D013568 | Pathological Conditions, Signs and Symptoms |