Clustering and Switching Patterns in Semantic Fluency and Their Relationship to Working Memory in Mild Cognitive Impairment
10.12779/dnd.2019.18.2.47
- Author:
Se Jin OH
1
;
Jee Eun SUNG
;
Su Jin CHOI
;
Jee Hyang JEONG
Author Information
1. Department of Communication Disorders, Ewha Womans University, Seoul, Korea. jeesung@ewha.ac.kr
- Publication Type:Original Article
- Keywords:
Mild Cognitive Impairment;
Semantic Fluency;
Clustering;
Switching;
Working Memory
- MeSH:
Adult;
Aged;
Cluster Analysis;
Cognition;
Executive Function;
Humans;
Linear Models;
Logistic Models;
Memory;
Memory, Short-Term;
Mild Cognitive Impairment;
Semantics
- From:Dementia and Neurocognitive Disorders
2019;18(2):47-61
- CountryRepublic of Korea
- Language:English
-
Abstract:
BACKGROUND AND PURPOSE: Semantic verbal fluency test is a neuropsychological assessment that can sensitively detect neuropathological changes. Considering its multifactorial features tapping various cognitive domains such as semantic memory, executive function, and working memory, it is necessary to examine verbal fluency performance in association with underlying cognitive functions. The objective of the current study was to investigate semantic fluency patterns of people with mild cognitive impairment (MCI) based on clustering and switching and their relationship with working memory. METHODS: Twenty-six individuals with MCI and 23 normal elderly adults participated in this study. A semantic verbal fluency test (animal version) was administered and the performance was analyzed using the following measures: number of correct words, cluster size, and number of switches. Scores of digit forward (DF) and backward span tasks were employed as working memory measures. RESULTS: Analyses of variance revealed significant group differences in the numbers of correct words and switches. Multivariate logistic regression and receiver-operating characteristic analyses showed that the number of switches more sensitively distinguished MCI existence than the number of correct words. Stepwise linear regression analysis showed that DF task and age significantly predicted the number of correct words while only the DF task significantly predicted the number of switches. CONCLUSIONS: Decrement in semantic verbal fluency in MCI seems to be associated with impaired switching abilities. Working memory capacity might serve as the underlying cognitive factor related to decreased verbal fluency in MCI.
