The Brain Chart of Aging: Machine-learning analytics reveals links between brain aging, white matter disease, amyloid burden, and cognition in the iSTAGING consortium of 10,216 harmonized MR scans

被引：110

作者：

Habes, Mohamad ^{[1
,2
,3
,4
,5
,26
]}

Pomponio, Raymond ^{[1
,26
]}

Shou, Haochang ^{[1
,6
]}

Doshi, Jimit ^{[1
,26
]}

Mamourian, Elizabeth ^{[1
,26
]}

Erus, Guray ^{[1
,26
]}

Nasrallah, Ilya ^{[1
,26
]}

Launer, Lenore J. ^{[7
]}

Rashid, Tanweer ^{[1
,26
]}

Bilgel, Murat ^{[8
]}

Fan, Yong ^{[1
,26
]}

Toledo, Jon B. ^{[9
,10
]}

Yaffe, Kristine ^{[11
,12
,13
]}

Sotiras, Aristeidis ^{[1
,14
]}

Srinivasan, Dhivya ^{[1
,26
]}

Espeland, Mark ^{[15
]}

Masters, Colin ^{[16
]}

Maruff, Paul ^{[16
]}

Fripp, Jurgen ^{[17
]}

Volzk, Henry ^{[18
]}

Johnson, Sterling C. ^{[19
]}

Morris, John C. ^{[20
]}

Albert, Marilyn S. ^{[21
]}

Miller, Michael, I ^{[22
]}

Bryan, R. Nick ^{[23
]}

Grabe, Hans J. ^{[24
,25
]}

Resnick, Susan M. ^{[8
]}

Wolk, David A. ^{[1
,2
,3
]}

Davatzikos, Christos ^{[1
,26
]}

机构：

[1] Univ Penn, Ctr Biomed Image Comp & Analyt, Philadelphia, PA 19104 USA

[2] Univ Penn, Dept Neurol, Philadelphia, PA 19104 USA

[3] Univ Penn, Penn Memory Ctr, Philadelphia, PA 19104 USA

[4] Univ Texas Hlth Sci Ctr San Antonio, Neuroimage Analyt Lab, Glenn Biggs Inst Neurodegenerat Disorders, San Antonio, TX 78229 USA

[5] Univ Texas Hlth Sci Ctr San Antonio, Biggs Inst Neuroimaging Core, Glenn Biggs Inst Neurodegenerat Disorders, San Antonio, TX 78229 USA

[6] Univ Penn, Dept Biostat Epidemiol & Informat, Philadelphia, PA 19104 USA

[7] NIA, Lab Epidemiol & Populat Sci, Bethesda, MD 20892 USA

[8] NIA, Lab Behav Neurosci, Bethesda, MD 20892 USA

[9] Univ Penn, Sch Med, Dept Pathol & Lab Med, Inst Aging,Ctr Neurodegenerat Dis Res, Philadelphia, PA 19104 USA

[10] Houston Methodist Hosp, Stanley Appel Dept Neurol, Houston, TX 77030 USA

[11] Univ Calif San Francisco, Dept Neurol, San Francisco, CA USA

[12] Univ Calif San Francisco, Dept Psychiat, San Francisco, CA USA

[13] Univ Calif San Francisco, Dept Epidemiol & Biostat, San Francisco, CA USA

[14] Washington Univ, Dept Radiol, St Louis, MO USA

[15] Wake Forest Sch Med, Dept Biostat & Data Sci, Winston Salem, NC 27101 USA

[16] Univ Melbourne, Florey Inst Neurosci & Mental Hlth, Melbourne, Vic, Australia

[17] Australian E Hlth Res Ctr CSIRO, CSIRO Hlth & Biosecu Ri Ty, Herston, Qld, Australia

[18] Ernst Moritz Arndt Univ Greifswald, Inst Community Med, Greifswald, Germany

[19] Univ Wisconsin, Wisconsin Alzheimers Inst, Sch Med & Publ Hlth, Madison, WI USA

[20] Washington Univ, Dept Neurol, St Louis, MO 63110 USA

[21] Johns Hopkins Univ, Sch Med, Dept Neurol, Baltimore, MD 21205 USA

[22] Johns Hopkins Univ, Dept Biomed Engn, Baltimore, MD USA

[23] Univ Texas Austin, Dept Diagnost Med, Austin, TX 78712 USA

[24] Ernst Moritz Arndt Univ Greifswald, Dept Psychiat & Psychotherapy, Greifswald, Germany

[25] German Ctr Neurodegenerat Dis DZNE, Greifswald, Germany

[26] Univ Penn, Dept Radiol, Philadelphia, PA 19104 USA

来源：

ALZHEIMERS & DEMENTIA | 2021年 / 17卷 / 01期

关键词：

Alzheimer's disease pathology; beta-amyloid; brain aging; brain signatures; cognitive testing; Dementia; harmonized neuroimaging cohorts; Machine Learning; MRI; Neuroimaging; PET; preclinical Alzheimer's disease; small vessel ischemic disease; tau;

D O I：

10.1002/alz.12178

中图分类号：

R74 [神经病学与精神病学];

学科分类号：

摘要：

IntroductionRelationships between brain atrophy patterns of typical aging and Alzheimer's disease (AD), white matter disease, cognition, and AD neuropathology were investigated via machine learning in a large harmonized magnetic resonance imaging database (11 studies; 10,216 subjects). Methods: Three brain signatures were calculated: Brain-age, AD-like neurodegeneration, and white matter hyperintensities (WMHs). Brain Charts measured and displayed the relationships of these signatures to cognition and molecular biomarkers of AD. Results: WMHs were associated with advanced brain aging, AD-like atrophy, poorer cognition, and AD neuropathology in mild cognitive impairment (MCI)/AD and cognitively normal (CN) subjects. High WMH volume was associated with brain aging and cognitive decline occurring in an approximate to 10-year period in CN subjects. WMHs were associated with doubling the likelihood of amyloid beta (A beta) positivity after age 65. Brain aging, AD-like atrophy, and WMHs were better predictors of cognition than chronological age in MCI/AD. Discussion: A Brain Chart quantifying brain-aging trajectories was established, enabling the systematic evaluation of individuals' brain-aging patterns relative to this large consortium.

引用

页码：89 / 102

页数：14

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