Effect of education on functional network edge efficiency in Alzheimer’s disease

Abstract We investigated the effect of education on the edge efficiency in resting state functional networks (RSFNs) in amnestic mild cognitive impairment (aMCI) and Alzheimer’s disease dementia (ADD). We collected the data of 57 early aMCI, 141 late aMCI, 173 mild ADD, and 39 moderate-to-severe ADD...

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Autores principales: Yeshin Kim, Sung-Woo Kim, Sang Won Seo, Hyemin Jang, Ko Woon Kim, Soo Hyun Cho, Si Eun Kim, Seung Joo Kim, Jin San Lee, Sung Tae Kim, Duk L. Na, Joon-Kyung Seong, Hee Jin Kim
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Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/29d002e0a0444b04ad52e9f77b9e4590
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spelling oai:doaj.org-article:29d002e0a0444b04ad52e9f77b9e45902021-12-02T15:09:07ZEffect of education on functional network edge efficiency in Alzheimer’s disease10.1038/s41598-021-96361-02045-2322https://doaj.org/article/29d002e0a0444b04ad52e9f77b9e45902021-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-96361-0https://doaj.org/toc/2045-2322Abstract We investigated the effect of education on the edge efficiency in resting state functional networks (RSFNs) in amnestic mild cognitive impairment (aMCI) and Alzheimer’s disease dementia (ADD). We collected the data of 57 early aMCI, 141 late aMCI, 173 mild ADD, and 39 moderate-to-severe ADD patients. We used years of education as a proxy for cognitive reserve. We measured edge efficiency for each edge in RSFNs, and performed simple slope analyses to discover their associations with education level among the four groups. In the late aMCI, a sub-network that had hub nodes in the right middle frontal gyrus and the right posterior cingulate gyrus, showed a positive association between RSFN edge efficiency and education (threshold = 2.5, p = 0.0478). There was no negative effect of education on the RSFN edge efficiency. In the early aMCI, mild ADD, and moderate-to-severe ADD, there were no sub-networks showing positive or negative correlation between education and RSFN edge efficiency. There was a positive effect of higher education on RSFN edge efficiency in the late aMCI, but not in the early aMCI or ADD. This indicates that in late aMCI, those who have higher education level have greater ability to resist collapsed functional network.Yeshin KimSung-Woo KimSang Won SeoHyemin JangKo Woon KimSoo Hyun ChoSi Eun KimSeung Joo KimJin San LeeSung Tae KimDuk L. NaJoon-Kyung SeongHee Jin KimNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-8 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Yeshin Kim
Sung-Woo Kim
Sang Won Seo
Hyemin Jang
Ko Woon Kim
Soo Hyun Cho
Si Eun Kim
Seung Joo Kim
Jin San Lee
Sung Tae Kim
Duk L. Na
Joon-Kyung Seong
Hee Jin Kim
Effect of education on functional network edge efficiency in Alzheimer’s disease
description Abstract We investigated the effect of education on the edge efficiency in resting state functional networks (RSFNs) in amnestic mild cognitive impairment (aMCI) and Alzheimer’s disease dementia (ADD). We collected the data of 57 early aMCI, 141 late aMCI, 173 mild ADD, and 39 moderate-to-severe ADD patients. We used years of education as a proxy for cognitive reserve. We measured edge efficiency for each edge in RSFNs, and performed simple slope analyses to discover their associations with education level among the four groups. In the late aMCI, a sub-network that had hub nodes in the right middle frontal gyrus and the right posterior cingulate gyrus, showed a positive association between RSFN edge efficiency and education (threshold = 2.5, p = 0.0478). There was no negative effect of education on the RSFN edge efficiency. In the early aMCI, mild ADD, and moderate-to-severe ADD, there were no sub-networks showing positive or negative correlation between education and RSFN edge efficiency. There was a positive effect of higher education on RSFN edge efficiency in the late aMCI, but not in the early aMCI or ADD. This indicates that in late aMCI, those who have higher education level have greater ability to resist collapsed functional network.
format article
author Yeshin Kim
Sung-Woo Kim
Sang Won Seo
Hyemin Jang
Ko Woon Kim
Soo Hyun Cho
Si Eun Kim
Seung Joo Kim
Jin San Lee
Sung Tae Kim
Duk L. Na
Joon-Kyung Seong
Hee Jin Kim
author_facet Yeshin Kim
Sung-Woo Kim
Sang Won Seo
Hyemin Jang
Ko Woon Kim
Soo Hyun Cho
Si Eun Kim
Seung Joo Kim
Jin San Lee
Sung Tae Kim
Duk L. Na
Joon-Kyung Seong
Hee Jin Kim
author_sort Yeshin Kim
title Effect of education on functional network edge efficiency in Alzheimer’s disease
title_short Effect of education on functional network edge efficiency in Alzheimer’s disease
title_full Effect of education on functional network edge efficiency in Alzheimer’s disease
title_fullStr Effect of education on functional network edge efficiency in Alzheimer’s disease
title_full_unstemmed Effect of education on functional network edge efficiency in Alzheimer’s disease
title_sort effect of education on functional network edge efficiency in alzheimer’s disease
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/29d002e0a0444b04ad52e9f77b9e4590
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