Predicting treatment outcomes for bilinguals with aphasia using computational modeling: Study protocol for the PROCoM randomised controlled trial
Introduction Bilinguals with aphasia (BWA) present varying degrees of lexical access impairment and recovery across their two languages. Because both languages may benefit from therapy, identifying the optimal target language for treatment is a current challenge for research and clinical practice. P...
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BMJ Publishing Group
2020-11-01
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| Series: | BMJ Open |
| Online Access: | https://bmjopen.bmj.com/content/10/11/e040495.full |
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| author | Claudia Peñaloza Maria Dekhtyar Michael Scimeca Erin Carpenter Nishaat Mukadam Swathi Kiran |
| author_facet | Claudia Peñaloza Maria Dekhtyar Michael Scimeca Erin Carpenter Nishaat Mukadam Swathi Kiran |
| author_sort | Claudia Peñaloza |
| collection | DOAJ |
| description | Introduction Bilinguals with aphasia (BWA) present varying degrees of lexical access impairment and recovery across their two languages. Because both languages may benefit from therapy, identifying the optimal target language for treatment is a current challenge for research and clinical practice. Prior research has demonstrated that the BiLex computational model can accurately simulate lexical access in healthy bilinguals, and language impairment and treatment response in bilingual aphasia. Here, we aim to determine whether BiLex can predict treatment outcomes in BWA in the treated and the untreated language and compare these outcome predictions to determine the optimal language for rehabilitation.Methods and analysis The study involves a prospective parallel-group, double-blind, randomised controlled trial. Forty-eight Spanish–English BWA will receive 20 sessions of semantic treatment for lexical retrieval deficits in one of their languages and will complete assessments in both languages prior and after treatment. Participants will be randomly assigned to an experimental group receiving treatment in the optimal language determined by the model or a control group receiving treatment in the language opposite to the model’s recommendation. Primary treatment outcomes include naming probes while secondary treatment outcomes include tests tapping additional language domains. Treatment outcomes will be compared across the two groups using 2×2 mixed effect models for repeated measures Analysis of variance (ANOVA) on metrics of treatment effects commonly employed in rehabilitation studies (ie, effect size and percentage change).Ethics and dissemination All procedures included in this protocol (protocol number 29, issue date: 19 March 2019) were approved by the Boston University Charles River Campus Institutional Review Board at Boston, Massachusetts (reference number: 4492E). The results of this study will be published in peer-reviewed scientific journals and will be presented at national and international conferences.Trial registration number NCT02916524. |
| format | Article |
| id | doaj-art-6995d311f6604e97add67fce1689a94f |
| institution | Kabale University |
| issn | 2044-6055 |
| language | English |
| publishDate | 2020-11-01 |
| publisher | BMJ Publishing Group |
| record_format | Article |
| series | BMJ Open |
| spelling | doaj-art-6995d311f6604e97add67fce1689a94f2024-11-27T20:55:07ZengBMJ Publishing GroupBMJ Open2044-60552020-11-01101110.1136/bmjopen-2020-040495Predicting treatment outcomes for bilinguals with aphasia using computational modeling: Study protocol for the PROCoM randomised controlled trialClaudia Peñaloza0Maria Dekhtyar1Michael Scimeca2Erin Carpenter3Nishaat Mukadam4Swathi Kiran5Aphasia Research Laboratory, Department of Speech, Language and Hearing Sciences, Boston University, Boston, Massachusetts, USAAphasia Research Laboratory, Department of Speech, Language and Hearing Sciences, Boston University, Boston, Massachusetts, USAAphasia Research Laboratory, Department of Speech, Language and Hearing Sciences, Boston University, Boston, Massachusetts, USAAphasia Research Laboratory, Department of Speech, Language and Hearing Sciences, Boston University, Boston, Massachusetts, USAAphasia Research Laboratory, Department of Speech, Language and Hearing Sciences, Boston University, Boston, Massachusetts, USAAphasia Research Laboratory, Department of Speech, Language and Hearing Sciences, Boston University, Boston, Massachusetts, USAIntroduction Bilinguals with aphasia (BWA) present varying degrees of lexical access impairment and recovery across their two languages. Because both languages may benefit from therapy, identifying the optimal target language for treatment is a current challenge for research and clinical practice. Prior research has demonstrated that the BiLex computational model can accurately simulate lexical access in healthy bilinguals, and language impairment and treatment response in bilingual aphasia. Here, we aim to determine whether BiLex can predict treatment outcomes in BWA in the treated and the untreated language and compare these outcome predictions to determine the optimal language for rehabilitation.Methods and analysis The study involves a prospective parallel-group, double-blind, randomised controlled trial. Forty-eight Spanish–English BWA will receive 20 sessions of semantic treatment for lexical retrieval deficits in one of their languages and will complete assessments in both languages prior and after treatment. Participants will be randomly assigned to an experimental group receiving treatment in the optimal language determined by the model or a control group receiving treatment in the language opposite to the model’s recommendation. Primary treatment outcomes include naming probes while secondary treatment outcomes include tests tapping additional language domains. Treatment outcomes will be compared across the two groups using 2×2 mixed effect models for repeated measures Analysis of variance (ANOVA) on metrics of treatment effects commonly employed in rehabilitation studies (ie, effect size and percentage change).Ethics and dissemination All procedures included in this protocol (protocol number 29, issue date: 19 March 2019) were approved by the Boston University Charles River Campus Institutional Review Board at Boston, Massachusetts (reference number: 4492E). The results of this study will be published in peer-reviewed scientific journals and will be presented at national and international conferences.Trial registration number NCT02916524.https://bmjopen.bmj.com/content/10/11/e040495.full |
| spellingShingle | Claudia Peñaloza Maria Dekhtyar Michael Scimeca Erin Carpenter Nishaat Mukadam Swathi Kiran Predicting treatment outcomes for bilinguals with aphasia using computational modeling: Study protocol for the PROCoM randomised controlled trial BMJ Open |
| title | Predicting treatment outcomes for bilinguals with aphasia using computational modeling: Study protocol for the PROCoM randomised controlled trial |
| title_full | Predicting treatment outcomes for bilinguals with aphasia using computational modeling: Study protocol for the PROCoM randomised controlled trial |
| title_fullStr | Predicting treatment outcomes for bilinguals with aphasia using computational modeling: Study protocol for the PROCoM randomised controlled trial |
| title_full_unstemmed | Predicting treatment outcomes for bilinguals with aphasia using computational modeling: Study protocol for the PROCoM randomised controlled trial |
| title_short | Predicting treatment outcomes for bilinguals with aphasia using computational modeling: Study protocol for the PROCoM randomised controlled trial |
| title_sort | predicting treatment outcomes for bilinguals with aphasia using computational modeling study protocol for the procom randomised controlled trial |
| url | https://bmjopen.bmj.com/content/10/11/e040495.full |
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