Literature DB >> 22774422

Acoustic markers associated with impairment in language processing in Alzheimer's Disease.

Juan J G Meilán1, Francisco Martínez-Sánchez, Juan Carro, José A Sánchez, Enrique Pérez.   

Abstract

This study broaches in a novel way the analysis of cognitive impairment characteristic of the early stages of Alzheimer's Disease (AD). Specifically, we attempt to determine the acoustic speech parameters that are sensitive to the onset of the disease, and their association with the language deficit characteristic of AD. Speech analysis was carried out on 21 elderly patients with AD using Praat software, which analyzes the acoustic components of speech. The data obtained were subjected to stepwise regression, using the overall scores obtained in the test as the criterion variable, and the scores on the frequency, amplitude and periodicity variables as predictors of performance. We found that the percentage of voiceless segments explains a significant portion of the variance in the overall scores obtained in the neuropsychological test. This component seems to be related mainly to the patient's ability in phonological fluency. This finding could permit the creation of a diagnostic test for AD through analysis of the acoustic speech parameters at very low cost in terms of both time and resources.

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Year:  2012        PMID: 22774422     DOI: 10.5209/rev_sjop.2012.v15.n2.38859

Source DB:  PubMed          Journal:  Span J Psychol        ISSN: 1138-7416            Impact factor:   1.264


  8 in total

1.  Voice biomarkers as indicators of cognitive changes in middle and later adulthood.

Authors:  Elizabeth Mahon; Margie E Lachman
Journal:  Neurobiol Aging       Date:  2022-07-01       Impact factor: 5.133

2.  Automatic speech analysis for the assessment of patients with predementia and Alzheimer's disease.

Authors:  Alexandra König; Aharon Satt; Alexander Sorin; Ron Hoory; Orith Toledo-Ronen; Alexandre Derreumaux; Valeria Manera; Frans Verhey; Pauline Aalten; Phillipe H Robert; Renaud David
Journal:  Alzheimers Dement (Amst)       Date:  2015-03-29

3.  A Speech Recognition-based Solution for the Automatic Detection of Mild Cognitive Impairment from Spontaneous Speech.

Authors:  Laszlo Toth; Ildiko Hoffmann; Gabor Gosztolya; Veronika Vincze; Greta Szatloczki; Zoltan Banreti; Magdolna Pakaski; Janos Kalman
Journal:  Curr Alzheimer Res       Date:  2018       Impact factor: 3.498

4.  Protocol for a conversation-based analysis study: PREVENT-ED investigates dialogue features that may help predict dementia onset in later life.

Authors:  Sofia de la Fuente Garcia; Craig W Ritchie; Saturnino Luz
Journal:  BMJ Open       Date:  2019-03-27       Impact factor: 2.692

5.  On the selection of non-invasive methods based on speech analysis oriented to automatic Alzheimer disease diagnosis.

Authors:  Karmele López-de-Ipiña; Jesus-Bernardino Alonso; Carlos Manuel Travieso; Jordi Solé-Casals; Harkaitz Egiraun; Marcos Faundez-Zanuy; Aitzol Ezeiza; Nora Barroso; Miriam Ecay-Torres; Pablo Martinez-Lage; Unai Martinez de Lizardui
Journal:  Sensors (Basel)       Date:  2013-05-21       Impact factor: 3.576

6.  Speech signal analysis of alzheimer's diseases in farsi using auditory model system.

Authors:  Maryam Momeni; Mahdiyeh Rahmani
Journal:  Cogn Neurodyn       Date:  2020-10-13       Impact factor: 3.473

Review 7.  Speaking in Alzheimer's Disease, is That an Early Sign? Importance of Changes in Language Abilities in Alzheimer's Disease.

Authors:  Greta Szatloczki; Ildiko Hoffmann; Veronika Vincze; Janos Kalman; Magdolna Pakaski
Journal:  Front Aging Neurosci       Date:  2015-10-20       Impact factor: 5.750

8.  A systematic literature review of automatic Alzheimer's disease detection from speech and language.

Authors:  Ulla Petti; Simon Baker; Anna Korhonen
Journal:  J Am Med Inform Assoc       Date:  2020-11-01       Impact factor: 4.497

  8 in total

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