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NCT02916524: PROCoM

Predicting Rehabilitation Outcomes in Bilingual Aphasia Using Computational Modeling

Status unknown NA Last updated 19 April 2021
What this trial tests

NA trial testing Semantic Feature Analysis (SFA) in Aphasia in 48 participants. Status unknown.

Timeline
20 April 2018
Primary endpoint
31 July 2021
31 July 2023

Quick facts

Lead sponsorBoston University Charles River Campus
PhaseNA
StatusStatus unknown
Study typeINTERVENTIONAL
Allocationrandomized
Designparallel
Maskingdouble
Primary purposetreatment
Enrollment48
Start date20 April 2018
Primary completion31 July 2021
Estimated completion31 July 2023
Sites3 locations across United States

Drugs / interventions tested

Conditions studied

Sponsor

Boston University Charles River Campus

Who can join

Adults 18 to 85, any sex, with Aphasia. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

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.

Publications & conference data

7 peer-reviewed publications reference this trial (live from Europe PMC):

  1. Telerehabilitation for Word Retrieval Deficits in Bilinguals With Aphasia: Effectiveness and Reliability as Compared to In-person Language Therapy.
    Peñaloza C, Scimeca M, Gaona A, Carpenter E, et al · · 2021 · cited 18× · PMID 34093382 · DOI 10.3389/fneur.2021.589330
  2. Predicting treatment outcomes for bilinguals with aphasia using computational modeling: Study protocol for the PROCoM randomised controlled trial.
    Peñaloza C, Dekhtyar M, Scimeca M, Carpenter E, et al · · 2020 · cited 13× · PMID 33208330 · DOI 10.1136/bmjopen-2020-040495
  3. Clinical perspectives and strategies for confronting disparities in social determinants of health for Hispanic bilinguals with aphasia.
    Scimeca M, Abdollahi F, Peñaloza C, Kiran S. · · 2022 · cited 11× · PMID 35688011 · DOI 10.1016/j.jcomdis.2022.106231
  4. Multilevel factors predict treatment response following semantic feature-based intervention in bilingual aphasia.
    Scimeca M, Peñaloza C, Kiran S. · · 2024 · cited 8× · PMID 38586504 · DOI 10.1017/s1366728923000391
  5. Measurement of cross-language and cross-domain generalization following semantic feature-based anomia treatment in bilingual aphasia.
    Russell-Meill M, Carpenter E, Marte MJ, Scimeca M, et al · · 2026 · cited 1× · PMID 40571559 · DOI 10.1080/09602011.2025.2522196
  6. Predicting bilingual aphasia treatment outcomes using digital twins: a double-blind randomized controlled trial.
    Kiran S, Carpenter E, Grasemann U, Scimeca M, et al · · 2026 · PMID 41963587 · DOI 10.1038/s41746-026-02583-9
  7. The evolution of word retrieval errors during semantic feature-based therapy in bilingual aphasia.
    Scimeca M, Peñaloza C, Carpenter E, Marte MJ, et al · · 2025 · PMID 41098414 · DOI 10.1017/s1366728925100370

Verify or expand the search:

Other trials of Semantic Feature Analysis (SFA)

Trials testing the same drug.

Other recruiting trials for Aphasia

Currently open trials in the same condition.

Other Boston University Charles River Campus trials

Trials by the same sponsor.

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Data sources for this page

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