Application of deep learning to understand resilience to Alzheimer's disease pathology-Reference-Cited by-同舟云学术

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Application of deep learning to understand resilience to Alzheimer's disease pathology

Published:2021-05-19 Issue:6 Volume:31 Page:
ISSN:1015-6305
Container-title:Brain Pathology
language:en
Short-container-title:Brain Pathol.

Author:

Lee Cecilia S.¹^ORCID,Latimer Caitlin S.²,Henriksen Jonathan C.²,Blazes Marian¹,Larson Eric B.³,Crane Paul K.⁴,Keene C. Dirk²,Lee Aaron Y.¹

Affiliation:

1. Department of Ophthalmology University of Washington Seattle WA USA

2. Department of Laboratory Medicine and Pathology University of Washington Seattle WA USA

3. Kaiser Permanente Washington Health Research Institute Seattle WA USA

4. Division of General Internal Medicine Department of Internal Medicine University of Washington Seattle WA USA

Funder

Nancy and Buster Alvord Endowment

Research to Prevent Blindness

National Institutes of Health

Publisher

Wiley

Subject

Clinical Neurology,Pathology and Forensic Medicine,General Neuroscience

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/bpa.12974

Reference45 articles.

1. National Institute on Aging–Alzheimer’s Association guidelines for the neuropathologic assessment of Alzheimer’s disease: a practical approach

2. Ecology of the Aging Human Brain

3. Correlation of Alzheimer Disease Neuropathologic Changes With Cognitive Status: A Review of the Literature

4. Cognitive Resilience to Alzheimer’s Disease Pathology in the Human Brain

5. Exercise Is Associated with Reduced Risk for Incident Dementia among Persons 65 Years of Age and Older

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Association of quantitative histopathology measurements with antemortem medial temporal lobe cortical thickness in the Alzheimer’s disease continuum;Acta Neuropathologica;2024-09-03

2. Gene-expression profiling of individuals resilient to Alzheimer's disease reveals higher expression of genes related to metallothionein and mitochondrial processes and no changes in the unfolded protein response;Acta Neuropathologica Communications;2024-04-25

3. The concept of resilience to Alzheimer’s Disease: current definitions and cellular and molecular mechanisms;Molecular Neurodegeneration;2024-04-08

4. The Spectrum of Alzheimer-Type Pathology in Cognitively Normal Individuals;Journal of Alzheimer's Disease;2023-01-17

5. Frequency of LATE neuropathologic change across the spectrum of Alzheimer’s disease neuropathology: combined data from 13 community-based or population-based autopsy cohorts;Acta Neuropathologica;2022-06-13

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