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Predicting language treatment response in bilingual aphasia using neural network-based patient models
Predicting language therapy outcomes in bilinguals with aphasia (BWA) remains challenging due to the multiple pre- and poststroke factors that determine the deficits and recovery of their two languages. Computational models that simulate language impairment and treatment outcomes in BWA can help pre...
Autores principales: | Grasemann, Uli, Peñaloza, Claudia, Dekhtyar, Maria, Miikkulainen, Risto, Kiran, Swathi |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8131385/ https://www.ncbi.nlm.nih.gov/pubmed/34006902 http://dx.doi.org/10.1038/s41598-021-89443-6 |
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