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

Autor:	De Looze C; Trinity Centre for Biomedical Engineering, School of Engineering, Trinity College Dublin, Dublin, Ireland., Dehsarvi A; Trinity Centre for Biomedical Engineering, School of Engineering, Trinity College Dublin, Dublin, Ireland., Crosby L; Mercer's Institute for Successful Ageing, St James's Hospital, Dublin, Ireland., Vourdanou A; Trinity Centre for Biomedical Engineering, School of Engineering, Trinity College Dublin, Dublin, Ireland., Coen RF; Mercer's Institute for Successful Ageing, St James's Hospital, Dublin, Ireland., Lawlor BA; Mercer's Institute for Successful Ageing, St James's Hospital, Dublin, Ireland.; Institute of Neuroscience, School of Medicine, Trinity College Dublin, Dublin, Ireland., Reilly RB; Trinity Centre for Biomedical Engineering, School of Engineering, Trinity College Dublin, Dublin, Ireland.; Institute of Neuroscience, School of Medicine, Trinity College Dublin, Dublin, Ireland.
Jazyk:	angličtina
Zdroj:	Frontiers in aging neuroscience [Front Aging Neurosci] 2021 Apr 27; Vol. 13, pp. 637404. Date of Electronic Publication: 2021 Apr 27 (Print Publication: 2021).
DOI:	10.3389/fnagi.2021.637404
Abstrakt:	Background : Increasing efforts have focused on the establishment of novel biomarkers for the early detection of Alzheimer's disease (AD) and prediction of Mild Cognitive Impairment (MCI)-to-AD conversion. Behavioral changes over the course of healthy ageing, at disease onset and during disease progression, have been recently put forward as promising markers for the detection of MCI and AD. The present study examines whether the temporal characteristics of speech in a collaborative referencing task are associated with cognitive function and the volumes of brain regions involved in speech production and known to be reduced in MCI and AD pathology. We then explore the discriminative ability of the temporal speech measures for the classification of MCI and AD. Method : Individuals with MCI, mild-to-moderate AD and healthy controls (HCs) underwent a structural MRI scan and a battery of neuropsychological tests. They also engaged in a collaborative referencing task with a caregiver. The associations between the conversational speech timing features, cognitive function (domain-specific) and regional brain volumes were examined by means of linear mixed-effect modeling. Genetic programming was used to explore the discriminative ability of the conversational speech features. Results : MCI and mild-to-moderate AD are characterized by a general slowness of speech, attributed to slower speech rate and slower turn-taking in conversational settings. The speech characteristics appear to be reflective of episodic, lexico-semantic, executive functioning and visuospatial deficits and underlying volume reductions in frontal, temporal and cerebellar areas. Conclusion : The implementation of conversational speech timing-based technologies in clinical and community settings may provide additional markers for the early detection of cognitive deficits and structural changes associated with MCI and AD. Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. (Copyright © 2021 De Looze, Dehsarvi, Crosby, Vourdanou, Coen, Lawlor and Reilly.)
Databáze:	MEDLINE
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