Distinct Brain Regions in Physiological and Pathological Brain Aging

被引:19
作者
Lee, Jin San [1 ,2 ,3 ]
Park, Yu Hyun [1 ,2 ]
Park, Seongbeom [1 ,2 ]
Yoon, Uicheul [4 ]
Choe, Yeongsim [1 ,2 ]
Cheon, Bo Kyoung [1 ,2 ]
Hahn, Alice [1 ,2 ]
Cho, Soo Hyun [5 ]
Kim, Seung Joo [6 ,7 ]
Kim, Jun Pyo [1 ,2 ]
Jung, Young Hee [1 ,2 ]
Park, Key-Chung [3 ]
Kim, Hee Jin [1 ,2 ]
Jang, Hyemin [1 ,2 ]
Na, Duk L. [1 ,2 ]
Seo, Sang Won [1 ,2 ,8 ,9 ]
机构
[1] Sungkyunkwan Univ, Sch Med, Samsung Med Ctr, Dept Neurol, Seoul, South Korea
[2] Neurosci Ctr, Samsung Med Ctr, Seoul, South Korea
[3] Kyung Hee Univ Hosp, Dept Neurol, Seoul, South Korea
[4] Daegu Catholic Univ, Dept Biomed Engn, Gyongsan, South Korea
[5] Chonnam Natl Univ, Dept Neurol, Med Sch, Gwangju, South Korea
[6] Gyeongsang Natl Univ, Sch Med, Dept Neurol, Chang Won, South Korea
[7] Gyeongsang Natl Univ, Changwon Hosp, Chang Won, South Korea
[8] Samsung Med Ctr, Samsung Alzheimer Res Ctr, Ctr Clin Epidemiol, Seoul, South Korea
[9] Sungkyunkwan Univ, SAIHST, Dept Hlth Sci & Technol Clin Res Design & Evaluat, Seoul, South Korea
基金
新加坡国家研究基金会;
关键词
physiological brain aging; pathological brain aging; cortical thickness; Alzheimer's disease; precuneus; inferior temporal region; MILD COGNITIVE IMPAIRMENT; ALZHEIMERS ASSOCIATION WORKGROUPS; DIAGNOSTIC GUIDELINES; NATIONAL INSTITUTE; CORTICAL THICKNESS; DISEASE; DEMENTIA; ATROPHY; DECLINE; RECOMMENDATIONS;
D O I
10.3389/fnagi.2019.00147
中图分类号
R592 [老年病学]; C [社会科学总论];
学科分类号
03 ; 0303 ; 100203 ;
摘要
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.
引用
收藏
页数:12
相关论文
共 50 条
[41]   A joint ventricle and WMH segmentation from MRI for evaluation of healthy and pathological changes in the aging brain [J].
Atlason, Hans E. ;
Love, Askell ;
Robertsson, Vidar ;
Blitz, Ari M. ;
Sigurdsson, Sigurdur ;
Gudnason, Vilmundur ;
Ellingsen, Lotta M. .
PLOS ONE, 2022, 17 (09)
[42]   Reduced FDG-PET brain metabolism and executive function predict clinical progression in elderly healthy subjects [J].
Ewers, Michael ;
Brendel, Matthias ;
Rizk-Jackson, Angela ;
Rominger, Axel ;
Bartenstein, Peter ;
Schuff, Norbert ;
Weiner, Michael W. .
NEUROIMAGE-CLINICAL, 2014, 4 :45-52
[43]   Level of Amyloid-β (Aβ) Binding Leading to Differential Effects on Resting State Functional Connectivity in Major Brain Networks [J].
Cheung, Eva Y. W. ;
Chau, Anson C. M. ;
Shea, Yat-Fung ;
Chiu, Patrick K. C. ;
Kwan, Joseph S. K. ;
Mak, Henry K. F. .
BIOMEDICINES, 2022, 10 (09)
[44]   Individual Morphological Brain Network Construction Based on Multivariate Euclidean Distances Between Brain Regions [J].
Yu, Kaixin ;
Wang, Xuetong ;
Li, Qiongling ;
Zhang, Xiaohui ;
Li, Xinwei ;
Li, Shuyu .
FRONTIERS IN HUMAN NEUROSCIENCE, 2018, 12
[45]   Mitochondrial quality control in the brain: The physiological and pathological roles [J].
Shen, Xurui ;
Sun, Peixin ;
Zhang, Hao ;
Yang, Hanting .
FRONTIERS IN NEUROSCIENCE, 2022, 16
[46]   Changes in Serine Racemase-Dependent Modulation of NMDA Receptor: Impact on Physiological and Pathological Brain Aging [J].
Billard, Jean-Marie .
FRONTIERS IN MOLECULAR BIOSCIENCES, 2018, 5
[47]   Deep learning-based brain age prediction in normal aging and dementia [J].
Lee, Jeyeon ;
Burkett, Brian J. ;
Min, Hoon-Ki ;
Senjem, Matthew L. ;
Lundt, Emily S. ;
Botha, Hugo ;
Graff-Radford, Jonathan ;
Barnard, Leland R. ;
Gunter, Jeffrey L. ;
Schwarz, Christopher G. ;
Kantarci, Kejal ;
Knopman, David S. ;
Boeve, Bradley F. ;
Lowe, Val J. ;
Petersen, Ronald C. ;
Jack, Clifford R., Jr. ;
Jones, David T. .
NATURE AGING, 2022, 2 (05) :412-+
[48]   Reorganization of brain connectivity across the spectrum of clinical cognitive decline [J].
Dal, Demet Yuksel ;
Yildirim, Zerrin ;
Gurvit, Hakan ;
Kabakcioglu, Alkan ;
Acar, Burak .
NEUROLOGICAL SCIENCES, 2024, 45 (12) :5719-5730
[49]   The good compliance is an opportunity to avoid pathological brain aging [J].
Sidenkova, A. .
EUROPEAN PSYCHIATRY, 2022, 65 :S654-S654
[50]   Expression of regional brain amyloid-β deposition with [18F]Flutemetamol in Centiloid scale -a multi-site study [J].
Bao, Yi-Wen ;
Wang, Zuo-Jun ;
Guo, Li-Li ;
Bai, Gen-Ji ;
Feng, Yun ;
Zhao, Guo-Dong .
NEURORADIOLOGY, 2024, 66 (09) :1537-1551