Evidence map›Paper›PMID 31297135›Full record

ArticleDementia and neurocognitive disorders2019

Clustering and Switching Patterns in Semantic Fluency and Their Relationship to Working Memory in Mild Cognitive Impairment.

Se Jin Oh, Jee Eun Sung, Su Jin Choi, Jee Hyang Jeong

Abstract read
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Article in Dementia and neurocognitive disorders, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

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11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Se Jin OhDepartment of Communication Disorders, Ewha Womans University, Seoul, Korea.ORCID https://orcid.org/0000-0002-8103-8216
Jee Eun SungDepartment of Communication Disorders, Ewha Womans University, Seoul, Korea.ORCID https://orcid.org/0000-0002-1734-0058
Su Jin ChoiDepartment of Communication Disorders, Ewha Womans University, Seoul, Korea.ORCID https://orcid.org/0000-0003-1158-5940
Jee Hyang JeongDepartment of Neurology, Ewha Womans University Mokdong Hospital, Ewha Womans University School of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0001-7945-6956

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeSemantic 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.

methodsTwenty-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.

resultsAnalyses 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.

conclusionsDecrement 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.

Indexed as

ClusteringMild Cognitive ImpairmentSemantic FluencySwitchingWorking Memory

Identifiers

PMID31297135
PMCPMC6609534

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.