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Temporal Analysis of Semantic Verbal Fluency Tasks in Persons with Subjective and Mild Cognitive Impairment.

Conference paper
Authors Nicklas Linz
Kristina Lundholm Fors
Hali Lindsay
Marie Eckerström
Jan Alexandersson
Dimitrios Kokkinakis
Published in Sixth Workshop on Computational Linguistics and Clinical Psychology: Reconciling Outcomes. Minneapolis, USA
Publication year 2019
Published at Department of Swedish
Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry
Centre for Ageing and Health (Agecap)
Language en
Links https://www.aclweb.org/anthology/W1...
Subject categories Language Technology (Computational Linguistics)

Abstract

The Semantic Verbal Fluency (SVF) task is a classical neuropsychological assessment where persons are asked to produce words belonging to a semantic category (e.g., animals) in a given time. This paper introduces a novel method of temporal analysis for SVF tasks utilizing time intervals and applies it to a corpus of elderly Swedish subjects (mild cognitive impairment, subjective cognitive impairment and healthy controls). A general decline in word count and lexical frequency over the course of the task is revealed, as well as an increase in word transition times. Persons with subjective cognitive impairment had a higher word count during the last intervals, but produced words of the same lexical frequencies. Persons with MCI had a steeper decline in both word count and lexical frequencies during the third interval. Additional correlations with neuropsychological scores suggest these findings are linked to a person’s overall vocabulary size and processing speed, respectively. Classification results improved when adding the novel features (AUC = 0.72), supporting their diagnostic value.

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