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Distinct Brain Regions in Physiological and Pathological Brain Aging

BACKGROUND: Studying structural brain aging is important to understand age-related pathologies, as well as to identify the early manifestations of the Alzheimer’s disease (AD) continuum. In this study, we investigated the long-term trajectory of physiological and pathological brain aging in a large...

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Autores principales: Lee, Jin San, Park, Yu Hyun, Park, Seongbeom, Yoon, Uicheul, Choe, Yeongsim, Cheon, Bo Kyoung, Hahn, Alice, Cho, Soo Hyun, Kim, Seung Joo, Kim, Jun Pyo, Jung, Young Hee, Park, Key-Chung, Kim, Hee Jin, Jang, Hyemin, Na, Duk L., Seo, Sang Won
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6591468/
https://www.ncbi.nlm.nih.gov/pubmed/31275140
http://dx.doi.org/10.3389/fnagi.2019.00147
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author Lee, Jin San
Park, Yu Hyun
Park, Seongbeom
Yoon, Uicheul
Choe, Yeongsim
Cheon, Bo Kyoung
Hahn, Alice
Cho, Soo Hyun
Kim, Seung Joo
Kim, Jun Pyo
Jung, Young Hee
Park, Key-Chung
Kim, Hee Jin
Jang, Hyemin
Na, Duk L.
Seo, Sang Won
author_facet Lee, Jin San
Park, Yu Hyun
Park, Seongbeom
Yoon, Uicheul
Choe, Yeongsim
Cheon, Bo Kyoung
Hahn, Alice
Cho, Soo Hyun
Kim, Seung Joo
Kim, Jun Pyo
Jung, Young Hee
Park, Key-Chung
Kim, Hee Jin
Jang, Hyemin
Na, Duk L.
Seo, Sang Won
author_sort Lee, Jin San
collection PubMed
description BACKGROUND: Studying structural brain aging is important to understand age-related pathologies, as well as to identify the early manifestations of the Alzheimer’s disease (AD) continuum. In this study, we investigated the long-term trajectory of physiological and pathological brain aging in a large number of participants ranging from the 50s to over 80 years of age. OBJECTIVE: To explore the distinct brain regions that distinguish pathological brain aging from physiological brain aging using sophisticated measurements of cortical thickness. METHODS: A total of 2,823 cognitively normal (CN) individuals and 2,675 patients with AD continuum [874 with subjective memory impairment (SMI), 954 with amnestic mild cognitive impairment (aMCI), and 847 with AD dementia] who underwent a high-resolution 3.0-tesla MRI were included in this study. To investigate pathological brain aging, we further classified patients with aMCI and AD according to the severity of cognitive impairment. Cortical thickness was measured using a surface-based method. Multiple linear regression analyses were performed to evaluate age, diagnostic groups, and cortical thickness. RESULTS: Aging extensively affected cortical thickness not only in CN individuals but also in AD continuum patients; however, the precuneus and inferior temporal regions were relatively preserved against age-related cortical thinning. Compared to CN individuals, AD continuum patients including those with SMI showed a decreased cortical thickness in the perisylvian region. However, widespread cortical thinning including the precuneus and inferior temporal regions were found from the late-stage aMCI to the moderate to severe AD. Unlike the other age groups, AD continuum patients aged over 80 years showed prominent cortical thinning in the medial temporal region with relative sparing of the precuneus. CONCLUSION: Our findings suggested that the precuneus and inferior temporal regions are the key regions in distinguishing between physiological and pathological brain aging. Attempts to differentiate age-related pathology from physiological brain aging at a very early stage would be important in terms of establishing new strategies for preventing accelerated pathological brain aging.
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spelling pubmed-65914682019-07-02 Distinct Brain Regions in Physiological and Pathological Brain Aging Lee, Jin San Park, Yu Hyun Park, Seongbeom Yoon, Uicheul Choe, Yeongsim Cheon, Bo Kyoung Hahn, Alice Cho, Soo Hyun Kim, Seung Joo Kim, Jun Pyo Jung, Young Hee Park, Key-Chung Kim, Hee Jin Jang, Hyemin Na, Duk L. Seo, Sang Won Front Aging Neurosci Neuroscience BACKGROUND: Studying structural brain aging is important to understand age-related pathologies, as well as to identify the early manifestations of the Alzheimer’s disease (AD) continuum. In this study, we investigated the long-term trajectory of physiological and pathological brain aging in a large number of participants ranging from the 50s to over 80 years of age. OBJECTIVE: To explore the distinct brain regions that distinguish pathological brain aging from physiological brain aging using sophisticated measurements of cortical thickness. METHODS: A total of 2,823 cognitively normal (CN) individuals and 2,675 patients with AD continuum [874 with subjective memory impairment (SMI), 954 with amnestic mild cognitive impairment (aMCI), and 847 with AD dementia] who underwent a high-resolution 3.0-tesla MRI were included in this study. To investigate pathological brain aging, we further classified patients with aMCI and AD according to the severity of cognitive impairment. Cortical thickness was measured using a surface-based method. Multiple linear regression analyses were performed to evaluate age, diagnostic groups, and cortical thickness. RESULTS: Aging extensively affected cortical thickness not only in CN individuals but also in AD continuum patients; however, the precuneus and inferior temporal regions were relatively preserved against age-related cortical thinning. Compared to CN individuals, AD continuum patients including those with SMI showed a decreased cortical thickness in the perisylvian region. However, widespread cortical thinning including the precuneus and inferior temporal regions were found from the late-stage aMCI to the moderate to severe AD. Unlike the other age groups, AD continuum patients aged over 80 years showed prominent cortical thinning in the medial temporal region with relative sparing of the precuneus. CONCLUSION: Our findings suggested that the precuneus and inferior temporal regions are the key regions in distinguishing between physiological and pathological brain aging. Attempts to differentiate age-related pathology from physiological brain aging at a very early stage would be important in terms of establishing new strategies for preventing accelerated pathological brain aging. Frontiers Media S.A. 2019-06-18 /pmc/articles/PMC6591468/ /pubmed/31275140 http://dx.doi.org/10.3389/fnagi.2019.00147 Text en Copyright © 2019 Lee, Park, Park, Yoon, Choe, Cheon, Hahn, Cho, Kim, Kim, Jung, Park, Kim, Jang, Na and Seo. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Lee, Jin San
Park, Yu Hyun
Park, Seongbeom
Yoon, Uicheul
Choe, Yeongsim
Cheon, Bo Kyoung
Hahn, Alice
Cho, Soo Hyun
Kim, Seung Joo
Kim, Jun Pyo
Jung, Young Hee
Park, Key-Chung
Kim, Hee Jin
Jang, Hyemin
Na, Duk L.
Seo, Sang Won
Distinct Brain Regions in Physiological and Pathological Brain Aging
title Distinct Brain Regions in Physiological and Pathological Brain Aging
title_full Distinct Brain Regions in Physiological and Pathological Brain Aging
title_fullStr Distinct Brain Regions in Physiological and Pathological Brain Aging
title_full_unstemmed Distinct Brain Regions in Physiological and Pathological Brain Aging
title_short Distinct Brain Regions in Physiological and Pathological Brain Aging
title_sort distinct brain regions in physiological and pathological brain aging
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6591468/
https://www.ncbi.nlm.nih.gov/pubmed/31275140
http://dx.doi.org/10.3389/fnagi.2019.00147
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