Predicting Montreal Cognitive Assessment Scores From Measures of Speech and Language.

J Speech Lang Hear Res

Department of Communication Disorders, University of Canterbury, Christchurch, New Zealand.

Published: June 2020

Purpose This study examined the relationship between measurements derived from spontaneous speech and participants' scores on the Montreal Cognitive Assessment. Method Participants ( = 521) aged between 64 and 97 years completed the cognitive assessment and were prompted to describe an early childhood memory. A range of acoustic and linguistic measures was extracted from the resulting speech sample. A least absolute shrinkage and selection operator approach was used to model the relationship between acoustic, lexical, and demographic information and participants' scores on the cognitive assessment. Results Using the covariance test statistic, four important variables were identified, which, together, explained 16.52% of the variance in participants' cognitive scores. Conclusions The degree to which cognition can be accurately predicted through spontaneously produced speech samples is limited. Statistically significant relationships were found between specific measurements of lexical variation, participants' speaking rate, and their scores on the Montreal Cognitive Assessment.

Download full-text PDF

Source
http://dx.doi.org/10.1044/2020_JSLHR-19-00183DOI Listing

Publication Analysis

Top Keywords

cognitive assessment
20
montreal cognitive
12
participants' scores
8
scores montreal
8
cognitive
6
assessment
5
scores
5
predicting montreal
4
assessment scores
4
scores measures
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!