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Acquisition of speech accuracy of sentences in children with cochlear implantAdquisición de la precisión del habla de oraciones en niños con implante coclearAcquisition de la précision de la parole chez les enfants porteurs d’implants cochléairesAquisição da precisão da fala de sentenças em crianças com implante coclear
(Pontificia Universidad Católica del Perú, 2020)
Can adding transcranial direct current stimulation (tDCS) to speech and language therapy improve outcomes for adults with aphasia after stroke?
(Wiley, 2019-10)
Clinical Answer:Transcranial direct current stimulation (tDCS) may improve the ability of adults with aphasia after stroke to name objects ("naming nouns") but does not appear to improve their functional communication or ...
Natural speech algorithm applied to baseline interview data can predict which patients will respond to psilocybin for treatment-resistant depression
(Elsevier Science, 2018-04)
Background: Natural speech analytics has seen some improvements over recent years, and this has opened a window for objective and quantitative diagnosis in psychiatry. Here, we used a machine learning algorithm applied to ...
Prediction of psychosis across protocols and risk cohorts using automated language analysis
(Wiley, 2018-02)
Language and speech are the primary source of data for psychiatrists to diagnose and treat mental disorders. In psychosis, the very structure of language can be disturbed, including semantic coherence (e.g., derailment and ...
Cognitive determinants of dysarthria in Parkinsons disease. An automated machine learning approach
(Wiley-liss, div John Wiley & Sons Inc., 2021-08-14)
Background: Dysarthric symptoms in Parkinson's disease vary greatly across cohorts. Abundant research suggests that such heterogeneity could reflect subject-level and task-related cognitive factors. However, the interplay ...
THE ROLE OF NOTICING AND WORKING MEMORY CAPACITY IN L2 ORAL PERFORMANCE
(Universidade Federal do Rio Grande do Sul, 2011)