Francisco Martínez-Sánchez1, Juan José G Meilán2, Juan Carro3, Olga Ivanova4. 1. Psychology Faculty, University of Murcia, Murcia, Spain. 2. Neurosciences Institute of Castile and Leon, Salamanca, Spain. 3. Psychology Faculty, University of Salamanca, Salamanca, Spain. 4. Philology Faculty, University of Extremadura, Cáceres, Spain.
Abstract
BACKGROUND: Speech variations enable us to map the performance of cognitive processes of syntactic, semantic, phonological, and articulatory planning and execution. Speaking is one of the first functions to be affected by neurodegenerative complaints such as Alzheimer's disease (AD), which makes the speech a highly promising biomarker for detecting the illness before the first preclinical symptoms appear. OBJECTIVE: This paper has sought to develop and validate a technological prototype that adopts an automated approach to speech analysis among older people. METHODS: It uses a mathematical algorithm based on certain discriminatory variables to estimate the probability of developing AD. RESULTS AND CONCLUSION: This device may be used at a preclinical stage by non-expert health professionals to determine the likelihood of the onset of AD.
BACKGROUND: Speech variations enable us to map the performance of cognitive processes of syntactic, semantic, phonological, and articulatory planning and execution. Speaking is one of the first functions to be affected by neurodegenerative complaints such as Alzheimer's disease (AD), which makes the speech a highly promising biomarker for detecting the illness before the first preclinical symptoms appear. OBJECTIVE: This paper has sought to develop and validate a technological prototype that adopts an automated approach to speech analysis among older people. METHODS: It uses a mathematical algorithm based on certain discriminatory variables to estimate the probability of developing AD. RESULTS AND CONCLUSION: This device may be used at a preclinical stage by non-expert health professionals to determine the likelihood of the onset of AD.
Authors: Juan J G Meilán; Francisco Martínez-Sánchez; Israel Martínez-Nicolás; Thide E Llorente; Juan Carro Journal: Behav Neurol Date: 2020-04-14 Impact factor: 3.342
Authors: Erin Smith; Eric A Storch; Ipsit Vahia; Stephen T C Wong; Helen Lavretsky; Jeffrey L Cummings; Harris A Eyre Journal: Front Psychiatry Date: 2021-12-23 Impact factor: 4.157
Authors: Carlo Robotti; Giovanni Costantini; Giovanni Saggio; Valerio Cesarini; Anna Calastri; Eugenia Maiorano; Davide Piloni; Tiziano Perrone; Umberto Sabatini; Virginia Valeria Ferretti; Irene Cassaniti; Fausto Baldanti; Andrea Gravina; Ahmed Sakib; Elena Alessi; Matteo Pascucci; Daniele Casali; Zakarya Zarezadeh; Vincenzo Del Zoppo; Antonio Pisani; Marco Benazzo Journal: J Voice Date: 2021-11-26 Impact factor: 2.009