Reading and lexical-semantic retrieval tasks outperforms single task speech analysis in the screening of Mild Cognitive Impairment and Alzheimer's Disease

Martínez Nicolás, Israel; Martínez Sánchez, Francisco; Ivanova, Olga; García Meilán, Juan José

Publication:
Reading and lexical-semantic retrieval tasks outperforms single task speech analysis in the screening of Mild Cognitive Impairment and Alzheimer's Disease

dc.contributor.author	Martínez Nicolás, Israel
dc.contributor.author	Martínez Sánchez, Francisco
dc.contributor.author	Ivanova, Olga
dc.contributor.author	García Meilán, Juan José
dc.contributor.department	Psicología Básica y Metodología
dc.date.accessioned	2024-02-06T11:38:53Z
dc.date.available	2024-02-06T11:38:53Z
dc.date.issued	2023-07-01
dc.description	©2023. This manuscript version is made available under the CC-BY 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ This document is the Published, version of a Published Work that appeared in final form in Scientific Reports. To access the final edited and published work see https://doi.org/10.1038/s41598-023-36804-y
dc.description.abstract	Age‐related cognitive impairment have increased dramatically in recent years, which has risen the interes in developing screening tools for mild cognitive impairment and Alzheimer’s disease. Speech analysis allows to exploit the behavioral consequences of cognitive deficits on the patient’s vocal performance so that it is possible to identify pathologies affecting speech production such as dementia. Previous studies have further shown that the speech task used determines how the speech parameters are altered. We aim to combine the impairments in several speech production tasks in order to improve the accuracy of screening through speech analysis. The sample consists of 72 participants divided into three equal groups of healthy older adults, people with mild cognitive impairment, or Alzheimer’s disease, matched by age and education. A complete neuropsychological assessment and two voice recordings were performed. The tasks required the participants to read a text, and complete a sentence with semantic information. A stepwise linear discriminant analysis was performed to select speech parameters with discriminative power. The discriminative functions obtained an accuracy of 83.3% in simultaneous classifications of several levels of cognitive impairment. It would therefore be a promising screening tool for dementia.	es
dc.format	application/pdf	es
dc.identifier.citation	Scientific Report, 13, 2023, 9728.
dc.identifier.doi	https://doi.org/10.1038/s41598-023-36804-y
dc.identifier.issn	Electronic: 2045-2322
dc.identifier.uri	http://hdl.handle.net/10201/138735
dc.language	eng	es
dc.publisher	Nature Research	es
dc.relation	Sin financiación externa a la Universidad	es
dc.relation.publisherversion	https://www.nature.com/srep/
dc.rights	info:eu-repo/semantics/openAccess	es
dc.rights	Attribution-NonCommercial-NoDerivatives 4.0 Internacional	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/	*
dc.subject	Speech Analysis	es
dc.subject	Alzheimer disease
dc.subject	Speech
dc.subject	Voice
dc.subject	Reading
dc.title	Reading and lexical-semantic retrieval tasks outperforms single task speech analysis in the screening of Mild Cognitive Impairment and Alzheimer's Disease	es
dc.type	info:eu-repo/semantics/article	es
dspace.entity.type	Publication	es