Browsing by Subject "Mild cognitive impairment"
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- PublicationOpen AccessDiscriminating speech traits of Alzheimer’s disease assessed through a corpus of reading task for Spanish language(2021-12-05) Ivanova, Olga; García Meilán, Juan José; Martínez-Sánchez, Francisco; Martínez-Nicolás, Israel; Llorente, Thide; Carcabilla-Gonzalez, Nuria; Psicología Básica y MetodologíaIt is estimated that between 50% and 75% of all cases of dementia are due to Alzheimer’s disease (AD), the most common neurodegenerative disease among World population. However, a long preclinical period of AD makes it difficult to differentiate between people with Mild Cognitive Impairment (MCI) that would progress to dementia from people with MCI that would not. One of the most promising solutions to detect MCI which will evolve to dementia (preAD) comes from the field of automatic speech analysis. Speech is a complex physiological and neurocognitive language-mediated process, which can be significantly altered in pathological aging and exhibit high levels of sensitivity for the diagnosis of neurological diseases. The purpose of this research is to offer a detailed perspective on the speech changes in MCI and mild AD when compared to healthy aging (HA), that would allow to detect pathological processes prior to the clinical expression of AD. Based on our previous research record on speech in HA, MCI and AD, we provide a global review of dementia-related speech traits and propose a reading-based protocol for assessing ongoing neurodegenerative processes in the elderly. We report the results of speech analysis in elderly people with different cognitive profiles, who performed a standardized reading task and were further analyzed for correlations between neurocognitive assessment indicative of cognitive impairment stage (HA, MCI or AD) and acoustic, temporal and prosodic traits in speech. We show that evolution from HA to AD exhibits a steady pattern of speech changes in parallel to the cognitive decline, which consists in significant increase in duration and phonation time, extension of pauses and voice breaks, intensification of variation in syllabic production, and decrease in speech energy and intensity leading to dysphony. In doing so, we prove that a standardized reading task is a very useful type of stimuli for detecting dementia-related speech traits and, in view of this, we discuss the relevance of reading for preclinical automated diagnosis of AD. The main contribution of this paper is a corpus of recordings of the standardized reading task performed by healthy elderly people and people with MCI and AD in Spanish language, and which can be used for further research purposes. In this respect, our work fills an important gap existing in corpora-based studies of speech and language impairments related to progression to dementia.
- PublicationOpen Access¿Hasta dónde llega la precocidad de la tomografía de coherencia óptica en el deterioro cognitivo?(Viguera editores, 2016-07-01) Giménez Castejón, Domingo; Martínez Martínez, María de los LLanos; Dudekova, Mirka; Lajara Blesa, Jerónimo; Gómez Gallego, María; Atención SociosanitariaIntroducción. La enfermedad de Alzheimer (EA) es la primera causa de demencia mundial. Cada vez son más los esfuerzos para lograr una detección temprana del deterioro cognitivo y surgen en el panorama científico entidades diagnósticas como el deterioro cognitivo leve (DCL) y las quejas subjetivas de memoria (QSM). Debido a ello, aparecen numerosos biomarcadores estudiados para conseguir dicho objetivo, entre ellos la tomografía de coherencia óptica. Sujetos y métodos. Se ha realizado un estudio que utiliza la tomografía de coherencia óptica para medir el grosor macular y la capa de fibras nerviosas de la retina en pacientes diagnosticados de EA (n = 36), pacientes con DCL (n = 33), en individuos con QSM (n = 24) y en sujetos control (n = 45). Resultados. Se han encontrado diferencias estadísticamente significativas en cuanto al grosor macular entre todos los grupos estudiados (QSM: 261,8 ± 25,88 μm; DCL: 259,19 ± 22,582 μm; EA leve: 258,53 ± 14,804 μm; EA moderada: 249,32 ± 18,467 μm) y sujetos control (271,96 ± 15,57 μm). Respecto a la capa de fibras nerviosas de la retina, ocurre de igual manera, y la diferencia es estadísticamente significativa frente al grupo control (94,51 ± 9,203 μm) de todos los grupos (QSM: 90,44 ± 9,059 μm; DCL: 89,4 ± 10,421 μm; EA leve: 87,12 ± 10,279 μm; EA moderada: 82,25 ± 10,636 μm). Conclusión. La tomografía de coherencia óptica podría situarse como un futuro biomarcador y una herramienta de apoyo para facilitar el diagnóstico precoz del deterioro cognitivo y de la EA.
- PublicationOpen AccessIs there a specific pattern of attention deficit in mild cognitive impairment with subcortical vascular features? Evidence from the Attention Network Test(2011) Fernández Olivares, Pedro Jesús; Campoy Menéndez, Guillermo; García Santos, Jose María; Antequera Torres, Martirio; García Sevilla, Julia; Castillo Moreno, Manuel Alejandro; Antúnez Almagro, Carmen; Fuentes Melero, Luis José; Psicología Básica y Metodología
- PublicationOpen AccessTen years of research on automatic voice and speech analysis of people with Alzheimer's disease and mild cognitive impairment : a systematic review article(Frontiers Media, 2021-03-23) Martínez-Nicolás, Israel; Llorente, Thide; Martínez-Sánchez, Francisco; García Meilá, Juan José; Psicología Básica y MetodologíaBackground: The field of voice and speech analysis has become increasingly popular over the last 10 years, and articles on its use in detecting neurodegenerative diseases have proliferated. Many studies have identified characteristic speech features that can be used to draw an accurate distinction between healthy aging among older people and those with mild cognitive impairment and Alzheimer’s disease. Speech analysis has been singled out as a cost-effective and reliable method for detecting the presence of both conditions. In this research, a systematic review was conducted to determine these features and their diagnostic accuracy. Methods: Peer-reviewed literature was located across multiple databases, involving studies that apply new procedures of automatic speech analysis to collect behavioral evidence of linguistic impairments along with their diagnostic accuracy on Alzheimer’s disease and mild cognitive impairment. The risk of bias was assessed by using JBI and QUADAS-2 checklists. Results: Thirty-five papers met the inclusion criteria; of these, 11 were descriptive studies that either identified voice features or explored their cognitive correlates, and the rest were diagnostic studies. Overall, the studies were of good quality and presented solid evidence of the usefulness of this technique. The distinctive acoustic and rhythmic features found are gathered. Most studies record a diagnostic accuracy over 88% for Alzheimer’s and 80% for mild cognitive impairment. Conclusion: Automatic speech analysis is a promising tool for diagnosing mild cognitive impairment and Alzheimer’s disease. The reported features seem to be indicators of the cognitive changes in older people. The specific features and the cognitive changes involved could be the subject of further research.
- PublicationRestrictedVoice Markers of Lexical Access in Mild Cognitive Impairment and Alzheimer’s Disease(Bentham Science Publishers, 2018-08-17) García Meilán, Juan José; Martínez-Sánchez, Francisco; Carro, Juan; Cacabilla, Nuria; Ivanova, Olga; Psicología Básica y MetodologíaAbstract: Background: Recent studies have identified the correlation between dementia and certain vocal features, such as voice and speech changes. Vocal features may act as early markers of Alzheimer’s disease (AD). Despite being present in non-pathological senescence and Mild Cognitive Impairment, especially in its amnesic subtype (aMCI), these voice- and speech-related symptoms are the first signs of AD. The purpose of this study is to verify whether these signs are related to deficits in lexical access, which appear early in AD. Method: Anomic deficits in persons with MCI and AD are assessed through tests on verbal memory, denomination by confrontation, and verbal fluency. In addition, an acoustic analysis of speech is conducted in a reading task to identify the acoustic parameters associated with the groups analyzed, and their relation to the degree of anomic impairment observed in each one of them. Results and Conclusions: The results show a direct relationship between the different acoustic parameters present in AD and the verbal fluency tests results.