Discourse Measures to Differentiate Between Mild Cognitive Impairment and Healthy Aging

Although subtle discourse declines in people with mild cognitive impairment (MCI) have been reported, heterogeneous measures and tasks among the MCI discourse studies have yielded widely varying outcomes. The present study aimed to first, identify discourse measures that aid the differentiation amon...

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Main Authors: Bo Seon Kim, Yong Bum Kim, HyangHee Kim
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-08-01
Series:Frontiers in Aging Neuroscience
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fnagi.2019.00221/full
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spelling doaj-7e5c6fa14ac74fbca722a68a975ed8b62020-11-24T21:21:52ZengFrontiers Media S.A.Frontiers in Aging Neuroscience1663-43652019-08-011110.3389/fnagi.2019.00221416374Discourse Measures to Differentiate Between Mild Cognitive Impairment and Healthy AgingBo Seon Kim0Yong Bum Kim1HyangHee Kim2HyangHee Kim3Graduate Program in Speech-Language Pathology, Yonsei University, Seoul, South KoreaDepartment of Neurology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, South KoreaGraduate Program in Speech-Language Pathology, Yonsei University, Seoul, South KoreaDepartment and Research Institute of Rehabilitation Medicine, Yonsei University College of Medicine, Seoul, South KoreaAlthough subtle discourse declines in people with mild cognitive impairment (MCI) have been reported, heterogeneous measures and tasks among the MCI discourse studies have yielded widely varying outcomes. The present study aimed to first, identify discourse measures that aid the differentiation among people with amnestic MCI (aMCI), people with non-amnestic MCI (naMCI), and cognitively healthy control (HC) participants, and second, delineate the cognitive functions related to such discourse measures. Three discourse tasks (an episodic narrative, a planning task, and a picture description) were performed by 30 aMCI, 22 naMCI, and 21 HC participants. Samples were analyzed using six categories of 15 measures, namely coherence, cohesion, proposition, grammaticality, lexicality, and fluency. The statistical analyses included (1) a multivariate analysis of variance for group comparison; (2) binary simple logistic regression and receiver operating characteristic curve analysis for differentiation between two groups; (3) binary multiple logistic regression for being diagnosed with naMCI or aMCI with the minimum number of predictors; and (4) Pearson correlation analysis for identifying the cognitive functions associated with the discourse measures. The proportion of cohesive words and propositional density in aMCI participants were worse than those in naMCI participants. Global coherence, the proportion of cohesive words, and the proportion of dysfluencies and pauses in naMCI participants were lower than those in the HC participants. Global and local coherence and the proportion of cohesive words, cohesive ties per utterances, propositional density, and dysfluencies and pauses in aMCI participants were worse than those in the HC participants. The aforementioned measures were demonstrated to be effective predictors for classifying groups by receiver operating characteristic curve analysis. In addition, the proportions of cohesive words and pauses were common discourse measures for differentiation between naMCI and HC participants or between aMCI and HC participants using binary multiple logistic regression. According to the correlation analysis, memory and executive functions are needed for coherent, cohesive, and efficient discourse productions in MCI. The detailed description of discourse performances in this study will aid the characterization of the declined language abilities of MCI participants and also the understanding of the cognitive functions involved in discourse performance in MCI.https://www.frontiersin.org/article/10.3389/fnagi.2019.00221/fullmild cognitive impairmentdiscoursemeasurescognitionlanguage impairment
collection DOAJ
language English
format Article
sources DOAJ
author Bo Seon Kim
Yong Bum Kim
HyangHee Kim
HyangHee Kim
spellingShingle Bo Seon Kim
Yong Bum Kim
HyangHee Kim
HyangHee Kim
Discourse Measures to Differentiate Between Mild Cognitive Impairment and Healthy Aging
Frontiers in Aging Neuroscience
mild cognitive impairment
discourse
measures
cognition
language impairment
author_facet Bo Seon Kim
Yong Bum Kim
HyangHee Kim
HyangHee Kim
author_sort Bo Seon Kim
title Discourse Measures to Differentiate Between Mild Cognitive Impairment and Healthy Aging
title_short Discourse Measures to Differentiate Between Mild Cognitive Impairment and Healthy Aging
title_full Discourse Measures to Differentiate Between Mild Cognitive Impairment and Healthy Aging
title_fullStr Discourse Measures to Differentiate Between Mild Cognitive Impairment and Healthy Aging
title_full_unstemmed Discourse Measures to Differentiate Between Mild Cognitive Impairment and Healthy Aging
title_sort discourse measures to differentiate between mild cognitive impairment and healthy aging
publisher Frontiers Media S.A.
series Frontiers in Aging Neuroscience
issn 1663-4365
publishDate 2019-08-01
description Although subtle discourse declines in people with mild cognitive impairment (MCI) have been reported, heterogeneous measures and tasks among the MCI discourse studies have yielded widely varying outcomes. The present study aimed to first, identify discourse measures that aid the differentiation among people with amnestic MCI (aMCI), people with non-amnestic MCI (naMCI), and cognitively healthy control (HC) participants, and second, delineate the cognitive functions related to such discourse measures. Three discourse tasks (an episodic narrative, a planning task, and a picture description) were performed by 30 aMCI, 22 naMCI, and 21 HC participants. Samples were analyzed using six categories of 15 measures, namely coherence, cohesion, proposition, grammaticality, lexicality, and fluency. The statistical analyses included (1) a multivariate analysis of variance for group comparison; (2) binary simple logistic regression and receiver operating characteristic curve analysis for differentiation between two groups; (3) binary multiple logistic regression for being diagnosed with naMCI or aMCI with the minimum number of predictors; and (4) Pearson correlation analysis for identifying the cognitive functions associated with the discourse measures. The proportion of cohesive words and propositional density in aMCI participants were worse than those in naMCI participants. Global coherence, the proportion of cohesive words, and the proportion of dysfluencies and pauses in naMCI participants were lower than those in the HC participants. Global and local coherence and the proportion of cohesive words, cohesive ties per utterances, propositional density, and dysfluencies and pauses in aMCI participants were worse than those in the HC participants. The aforementioned measures were demonstrated to be effective predictors for classifying groups by receiver operating characteristic curve analysis. In addition, the proportions of cohesive words and pauses were common discourse measures for differentiation between naMCI and HC participants or between aMCI and HC participants using binary multiple logistic regression. According to the correlation analysis, memory and executive functions are needed for coherent, cohesive, and efficient discourse productions in MCI. The detailed description of discourse performances in this study will aid the characterization of the declined language abilities of MCI participants and also the understanding of the cognitive functions involved in discourse performance in MCI.
topic mild cognitive impairment
discourse
measures
cognition
language impairment
url https://www.frontiersin.org/article/10.3389/fnagi.2019.00221/full
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