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Clustering and Switching in Verbal Fluency Across Varying Degrees of Cognitive Control Demands: Evidence From Healthy Bilinguals and Bilingual Patients With Aphasia
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In: Neurobiol Lang (Camb) (2021)
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Predicting language treatment response in bilingual aphasia using neural network-based patient models
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In: Sci Rep (2021)
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Telerehabilitation for Word Retrieval Deficits in Bilinguals With Aphasia: Effectiveness and Reliability as Compared to In-person Language Therapy
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In: Front Neurol (2021)
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Telerehabilitation for word retrieval deficits in bilinguals with aphasia: Effectiveness and reliability as compared to in-person language therapy
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Predicting treatment outcomes for bilinguals with aphasia using computational modeling: Study protocol for the PROCoM randomised controlled trial
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Abstract:
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 .
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Keyword:
Rehabilitation medicine
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URL: http://bmjopen.bmj.com/cgi/content/short/10/11/e040495
https://doi.org/10.1136/bmjopen-2020-040495
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White Matter Hyperintensities Predict Response to Language Treatment in Poststroke Aphasia ...
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supplamental_materials_NNR – Supplemental material for White Matter Hyperintensities Predict Response to Language Treatment in Poststroke Aphasia ...
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supplamental_materials_NNR – Supplemental material for White Matter Hyperintensities Predict Response to Language Treatment in Poststroke Aphasia ...
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White Matter Hyperintensities Predict Response to Language Treatment in Poststroke Aphasia ...
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Predicting treatment outcomes for bilinguals with aphasia using computational modeling: Study protocol for the PROCoM randomised controlled trial
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In: BMJ Open (2020)
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Verbal fluency as a measure of lexical access and cognitive control in bilingual persons with aphasia
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In: Aphasiology (2020)
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BiLex: A computational approach to the effects of age of acquisition and language exposure on bilingual lexical access
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The influence of prestroke proficiency on poststroke lexical-semantic performance in bilingual aphasia
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In: Aphasiology (2019)
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Strength of Temporal White Matter Pathways Predicts Semantic Learning
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Cognitive mechanisms underlying Armoni: A computer-assisted cognitive training programme for individuals with intellectual disabilities
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Novel word acquisition in aphasia: Facing the word-referent ambiguity of natural language learning contexts
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Novel word acquisition in aphasia: Facing the word-referent ambiguity of natural language learning contexts
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Language recovery and evidence of residual deficits after nonthalamic subcortical stroke: A 1 year follow-up study
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