AI Article Synopsis

  • Researchers are working on identifying new biomarkers for early Alzheimer's disease detection and predicting the transition from Mild Cognitive Impairment (MCI) to Alzheimer’s.
  • The study examines how speech timing during conversations relates to cognitive function and brain volume reductions in areas affected by MCI and AD.
  • Results show that individuals with MCI and mild-to-moderate AD tend to speak more slowly, which could serve as an indicator for early cognitive decline in clinical and community settings.*

Article Abstract

: 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. : 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. : 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. : 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.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8110716PMC
http://dx.doi.org/10.3389/fnagi.2021.637404DOI Listing

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