Histopathologic brain age estimation via multiple instance learning.
Title | Histopathologic brain age estimation via multiple instance learning. |
Publication Type | Journal Article |
Year of Publication | 2023 |
Authors | Marx, GA, Kauffman, J, McKenzie, AT, Koenigsberg, DG, McMillan, CT, Morgello, S, Karlovich, E, Insausti, R, Richardson, TE, Walker, JM, White, CL, Babrowicz, BM, Shen, L, McKee, AC, Stein, TD, Farrell, K, Crary, JF |
Corporate Authors | PART Working Group |
Journal | Acta Neuropathol |
Volume | 146 |
Issue | 6 |
Pagination | 785-802 |
Date Published | 2023 Dec |
ISSN | 1432-0533 |
Keywords | Acceleration, Aging, Autopsy, Brain, Child, Preschool, DNA Methylation, Epigenesis, Genetic, Epigenomics, Humans |
Abstract | Understanding age acceleration, the discordance between biological and chronological age, in the brain can reveal mechanistic insights into normal physiology as well as elucidate pathological determinants of age-related functional decline and identify early disease changes in the context of Alzheimer's and other disorders. Histopathological whole slide images provide a wealth of pathologic data on the cellular level that can be leveraged to build deep learning models to assess age acceleration. Here, we used a collection of digitized human post-mortem hippocampal sections to develop a histological brain age estimation model. Our model predicted brain age within a mean absolute error of 5.45 ± 0.22 years, with attention weights corresponding to neuroanatomical regions vulnerable to age-related changes. We found that histopathologic brain age acceleration had significant associations with clinical and pathologic outcomes that were not found with epigenetic based measures. Our results indicate that histopathologic brain age is a powerful, independent metric for understanding factors that contribute to brain aging. |
DOI | 10.1007/s00401-023-02636-3 |
Alternate Journal | Acta Neuropathol |
PubMed ID | 37815677 |
PubMed Central ID | PMC10627911 |
Grant List | R01NS086736 / NS / NINDS NIH HHS / United States U24 MH100931 / MH / NIMH NIH HHS / United States R01 AG062348 / AG / NIA NIH HHS / United States R01AG062348 / AG / NIA NIH HHS / United States R01 NS086736 / NS / NINDS NIH HHS / United States R01 NS095252 / NS / NINDS NIH HHS / United States K01 AG070326 / AG / NIA NIH HHS / United States P30AG066514 / AG / NIA NIH HHS / United States U24MH100931 / MH / NIMH NIH HHS / United States RF1 AG060961 / AG / NIA NIH HHS / United States K01AG070326 / AG / NIA NIH HHS / United States R01AG054008 / NS / NINDS NIH HHS / United States R01NS095252 / NS / NINDS NIH HHS / United States R01 AG054008 / AG / NIA NIH HHS / United States R01AG060961 / AG / NIA NIH HHS / United States P30 AG066514 / AG / NIA NIH HHS / United States |