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Dataset Information

Predicting treatment outcomes for bilinguals with aphasia using computational modeling: Study protocol for the PROCoM randomised controlled trial.


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

SUBMITTER: Penaloza C 

PROVIDER: S-EPMC7677370 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature