Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 이종민 | - |
dc.date.accessioned | 2019-12-08T20:36:26Z | - |
dc.date.available | 2019-12-08T20:36:26Z | - |
dc.date.issued | 2018-09 | - |
dc.identifier.citation | JOURNAL OF ALZHEIMERS DISEASE, v. 65, no. 4, page. 1237-1246 | en_US |
dc.identifier.issn | 1387-2877 | - |
dc.identifier.issn | 1875-8908 | - |
dc.identifier.uri | https://content.iospress.com/articles/journal-of-alzheimers-disease/jad170537 | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/119936 | - |
dc.description.abstract | Background/Objective: In this study, we investigated a long-term trajectory of brain aging (from the 20 s to over-80) in cognitively normal (CN) individuals. We further determined whether differences in sex, education years, and apolipoprotein E epsilon 4 status affect age-related cortical thinning.Methods: A total of 2,944 CN individuals who underwent high-resolution (3.0-Tesla) magnetic resonance imaging were included in this study. Cortical thickness was measured using a surface-based method. Multiple linear regression analyses were performed to evaluate age-related cortical thinning and related factors.Results: Compared to those in their 20 s/30 s, participants in their 40 s showed thinning primarily in the medial and lateral frontal and inferior parietal regions, and cortical thinning occurred across most of the cortices with increasing age. Notably, the precuneus, inferior temporal and lateral occipital regions were relatively spared until later in life. Male and lower education years were associated with greater cortical thinning with distinct regional specificity.Conclusion: Our findings provide an important clue to understanding the mechanism of age-related cognitive decline and new strategies for preventing the acceleration of pathological brain aging. | en_US |
dc.description.sponsorship | This research was supported by the Brain Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning (2016M3C7A1913844), by the NRF grant funded by the Korean government (2015R1C1A2A01053281), by the NRF grant funded by the Korea government (2017R1A2B2005081), by the Korea Ministry of Environment as the Environmental Health Action Program (2014001360002), by a grant of the Korea Health Technology R&D Project through the Korea Health Industry Development Institute, funded by the Ministry of Health & Welfare, Republic of Korea (HI17C1915) and by a fund (2018-ER6203-00) by Research of Korea Centers for Disease Control and Prevention. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | IOS PRESS | en_US |
dc.subject | Alzheimer's disease | en_US |
dc.subject | cognitive disorders | en_US |
dc.subject | dementia | en_US |
dc.subject | magnetic resonance imaging | en_US |
dc.title | Trajectories of Physiological Brain Aging and Related Factors in People Aged from 20 to over-80 | en_US |
dc.type | Article | en_US |
dc.relation.no | 4 | - |
dc.relation.volume | 65 | - |
dc.identifier.doi | 10.3233/JAD-170537 | - |
dc.relation.page | 1237-1246 | - |
dc.relation.journal | JOURNAL OF ALZHEIMERS DISEASE | - |
dc.contributor.googleauthor | Lee, Jin San | - |
dc.contributor.googleauthor | Kim, Seonwoo | - |
dc.contributor.googleauthor | Yoo, Heejin | - |
dc.contributor.googleauthor | Park, Seongbeom | - |
dc.contributor.googleauthor | Jang, Young Kyoung | - |
dc.contributor.googleauthor | Kim, Hee Jin | - |
dc.contributor.googleauthor | Kim, Ko Woon | - |
dc.contributor.googleauthor | Kim, Yeshin | - |
dc.contributor.googleauthor | Jang, Hyemin | - |
dc.contributor.googleauthor | Lee, Jong-Min | - |
dc.relation.code | 2018008431 | - |
dc.sector.campus | S | - |
dc.sector.daehak | COLLEGE OF ENGINEERING[S] | - |
dc.sector.department | DIVISION OF ELECTRICAL AND BIOMEDICAL ENGINEERING | - |
dc.identifier.pid | ljm | - |
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