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Higher education affects accelerated cortical thinning in Alzheimer's disease: a 5-year preliminary longitudinal study

Authors
Cho, HannaJeon, SeunKim, ChangsooYe, Byoung SeokKim, Geon HaNoh, YoungKim, Hee JinYoon, Cindy W.Kim, Yeo JinKim, Jung-HyunPark, Sang EonKim, Sung TaeLee, Jong-MinKang, Sue J.Suh, Mee KyungChin, JuheeNa, Duk L.Kang, Dae RyongSeo, Sang Won
Issue Date
Jan-2015
Publisher
CAMBRIDGE UNIV PRESS
Keywords
education; cortical thickness; Alzheimer' s disease; cognitive reserve theory
Citation
INTERNATIONAL PSYCHOGERIATRICS, v.27, no.1, pp.111 - 120
Indexed
SCIE
SSCI
SCOPUS
Journal Title
INTERNATIONAL PSYCHOGERIATRICS
Volume
27
Number
1
Start Page
111
End Page
120
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/158114
DOI
10.1017/S1041610214001483
ISSN
1041-6102
Abstract
Background: Epidemiological studies have reported that higher education (HE) is associated with a reduced risk of incident Alzheimer's disease (AD). However, after the clinical onset of AD, patients with HE levels show more rapid cognitive decline than patients with lower education (LE) levels. Although education level and cognition have been linked, there have been few longitudinal studies investigating the relationship between education level and cortical decline in patients with AD. The aim of this study was to compare the topography of cortical atrophy longitudinally between AD patients with HE (HE-AD) and AD patients with LE (LE-AD). Methods: We prospectively recruited 36 patients with early-stage AD and 14 normal controls. The patients were classified into two groups according to educational level, 23 HE-AD (>9 years) and 13 LE-AD (<= 9 years). Results: As AD progressed over the 5-year longitudinal follow-ups, the HE-AD showed a significant group-by-time interaction in the right dorsolateral frontal and precuneus, and the left parahippocampal regions compared to the LE-AD. Conclusion: Our study reveals that the preliminary longitudinal effect of HE accelerates cortical atrophy in AD patients over time, which underlines the importance of education level for predicting prognosis.
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