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Diagnosis of Alzheimer's Disease
Abstract
Early and accurate diagnosis of Alzheimer's disease (AD) has a major impact on the progress of research on dementia. To address the problems involved in diagnosing AD in its earliest stages, the National Institute on Aging, the American Association of Retired Persons, the National Institute of Neurological and Communicative Disorders and Stroke, and the National Institute of Mental Health jointly sponsored a workshop for planning research. The purpose of the meeting was to identify the most important scientific research opportunities and the crucial clinical and technical issues that influence the progress of research on the diagnosis of AD. The 37 participants included some of the most knowledgeable and eminent scientists and physicians actively involved in the study of AD. The participants were divided among six panels representing the disciplines of neurochemistry, neuropathology, neuroradiology, neurology, neuropsychology, and psychiatry. Within each of the panels, participants discussed specific areas of research requiring further
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“This contrasts to the original set of criteria produced in 1985 by the National Institute on Aging, which focused on age-related amyloid plaque density (with silver stains or thioflavin S fluorescent microscopy) without regard to type of plaque [108].”
From The neuropathological diagnosis of Alzheimer's disease (2019) · cites this paper as [108]
In the citing paper
“there have been several changes in neuropathological diagnostic criteria, including the “Khachaturian criteria” of 1985 (27), the “Tierney” criteria of 1988 (28), The Consortium to Establish a Registry for Alzheimer's Disease (CERAD) criteria in 1991 (29), and the National Institute on Aging (NIA)-Reagan criteria in 1997 (30).”
From Accuracy of the Clinical Diagnosis of Alzheimer Disease at National Institute on Aging Alzheimer Disease Centers, 2005–2010 (2012) · cites this paper as [27]
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Role of tau versus TDP‐43 pathology on medial temporal lobe atrophy in aging and Alzheimer's disease
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“…& milestones: Blue: Mid-80s—identification of A β & tau as core proteins in plaques and tangles 170–174 ; 1985—Khachaturian criteria of AD pathology 175 ; 1991—Braak staging of neurofibrillary tangles 16 ; 1991—CERAD criteria 176 ; 1997—NIA-R criteria for the neuropathological diagnosis of AD 177…”
Dementia analysis from functional connectivity network with graph neural networks
Wang, L.-J., Yuan, W., Zeng, L., Xu, J., Mo, Y.-J., Zhao, X.-X., & Peng, L. (2022) · Information Processing & Management · doi:10.1016/j.ipm.2022.102901 · Cited by 20
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Metadata
- Authors
- Khachaturian, Z. S.
- Corresponding author
- Khachaturian, Z. S.
- Venue
- Archives of Neurology
- Publisher
- American Medical Association (AMA)
- Published
- 1985-11-01
- Volume
- 42
- Issue
- 11
- Pages
- 1097-1105
- ISSN
- 0003-9942 (ISSN-L)
- OpenAlex
- W2171405125
- Cited by
- 2,499
- References
- 10
- Citations by year
- 2026: 10 · 2025: 27 · 2024: 26 · 2023: 31 · 2022: 38 · 2021: 46 · 2020: 43 · 2019: 35 · 2018: 29 · 2017: 27 · 2016: 36 · 2015: 27 · 2014: 41 · 2013: 34 · 2012: 41
- FWCI
- 40.91
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Archives of Neurology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Social Sciences › Psychology › Applied Psychology › Psychological Testing and Assessment
- Keywords
- Alzheimer's disease, early diagnosis, dementia, neurochemistry, neuropathology, neuroradiology, neuropsychology
- MeSH terms
- Alzheimer Disease, Humans
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