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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...

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Bibliografiske detaljer
Udgivet i:Sci Rep
Main Authors: Grasemann, Uli, Peñaloza, Claudia, Dekhtyar, Maria, Miikkulainen, Risto, Kiran, Swathi
Format: Artigo
Sprog:Inglês
Udgivet: Nature Publishing Group UK 2021
Fag:
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC8131385/
https://ncbi.nlm.nih.gov/pubmed/34006902
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-021-89443-6
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