Literature DB >> 29623841

Changes in Speech Chunking in Reading Aloud is a Marker of Mild Cognitive Impairment and Mild-to-Moderate Alzheimer's Disease.

Celine De Looze1, Finnian Kelly1, Lisa Crosby2, Aisling Vourdanou1, Robert F Coen2, Cathal Walsh2,3, Brian A Lawlor2,4, Richard B Reilly1,4.   

Abstract

BACKGROUND: Speech and Language Impairments, generally attributed to lexico-semantic deficits, have been documented in Mild Cognitive Impairment (MCI) and Alzheimer's disease (AD). This study investigates the temporal organisation of speech (reflective of speech production planning) in reading aloud in relation to cognitive impairment, particularly working memory and attention deficits in MCI and AD. The discriminative ability of temporal features extracted from a newly designed read speech task is also evaluated for the detection of MCI and AD.
METHOD: Sixteen patients with MCI, eighteen patients with mild-to-moderate AD and thirty-six healthy controls (HC) underwent a battery of neuropsychological tests and read a set of sentences varying in cognitive load, probed by manipulating sentence length and syntactic complexity.
RESULTS: Our results show that Mild-to-Moderate AD is associated with a general slowness of speech, attributed to a higher number of speech chunks, silent pauses and dysfluences, and slower speech and articulation rates. Speech chunking in the context of high cognitive-linguistic demand appears to be an informative marker of MCI, specifically related to early deficits in working memory and attention. In addition, Linear Discriminant Analysis shows the ROC AUCs (Areas Under the Receiver Operating Characteristic Curves) of identifying MCI vs. HC, MCI vs. AD and AD vs. HC using these speech characteristics are 0.75, 0.90 and 0.94 respectively.
CONCLUSION: The implementation of connected speech-based technologies in clinical and community settings may provide additional information for the early detection of MCI and AD. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.org.

Entities:  

Keywords:  Speech; detection; markers; planning; timing; working memory.

Mesh:

Year:  2018        PMID: 29623841     DOI: 10.2174/1567205015666180404165017

Source DB:  PubMed          Journal:  Curr Alzheimer Res        ISSN: 1567-2050            Impact factor:   3.498


  5 in total

1.  Inhibitory Control Deficits in Individuals with Amnestic Mild Cognitive Impairment: a Meta-Analysis.

Authors:  Rahel Rabi; Brandon P Vasquez; Claude Alain; Lynn Hasher; Sylvie Belleville; Nicole D Anderson
Journal:  Neuropsychol Rev       Date:  2020-03-12       Impact factor: 7.444

2.  Verbal fluency response times predict incident cognitive impairment.

Authors:  Matthew R Ayers; Justin Bushnell; Sujuan Gao; Frederick Unverzagt; John Del Gaizo; Virginia G Wadley; Richard Kennedy; David Glenn Clark
Journal:  Alzheimers Dement (Amst)       Date:  2022-05-06

3.  Cognitive and Structural Correlates of Conversational Speech Timing in Mild Cognitive Impairment and Mild-to-Moderate Alzheimer's Disease: Relevance for Early Detection Approaches.

Authors:  Céline De Looze; Amir Dehsarvi; Lisa Crosby; Aisling Vourdanou; Robert F Coen; Brian A Lawlor; Richard B Reilly
Journal:  Front Aging Neurosci       Date:  2021-04-27       Impact factor: 5.750

4.  Speech Biomarkers in Rapid Eye Movement Sleep Behavior Disorder and Parkinson Disease.

Authors:  Jan Rusz; Jan Hlavnička; Michal Novotný; Tereza Tykalová; Amelie Pelletier; Jacques Montplaisir; Jean-Francois Gagnon; Petr Dušek; Andrea Galbiati; Sara Marelli; Paul C Timm; Luke N Teigen; Annette Janzen; Mahboubeh Habibi; Ambra Stefani; Evi Holzknecht; Klaus Seppi; Elisa Evangelista; Anna Laura Rassu; Yves Dauvilliers; Birgit Högl; Wolfgang Oertel; Erik K St Louis; Luigi Ferini-Strambi; Evžen Růžička; Ronald B Postuma; Karel Šonka
Journal:  Ann Neurol       Date:  2021-05-07       Impact factor: 10.422

5.  Predicting MCI Status From Multimodal Language Data Using Cascaded Classifiers.

Authors:  Kathleen C Fraser; Kristina Lundholm Fors; Marie Eckerström; Fredrik Öhman; Dimitrios Kokkinakis
Journal:  Front Aging Neurosci       Date:  2019-08-02       Impact factor: 5.750

  5 in total

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