Cited by 303Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatmentsAging and Gerontology Research

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Early life linguistic ability, late life cognitive function, and neuropathology: findings from the Nun Study

Riley, Kathryn P., Snowdon, David A., Desrosiers, Mark F., Markesbery, William R.·2005·Neurobiology of Aging

DOI 10.1016/j.neurobiolaging.2004.06.019

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Abstract

The relationships between early life variables, cognitive function, and neuropathology were examined in participants in the Nun Study who were between the ages of 75 and 95. Our early life variable was idea density, which is a measure of linguistic ability, derived from autobiographies written at a mean age of 22 years. Six discrete categories of cognitive function, including mild cognitive impairments, were evaluated, using the Consortium to Establish a Registry for Alzheimer's Disease (CERAD) battery of cognitive tests. Neuropathologic data included Braak staging, neurofibrillary tangle and senile plaque counts, brain weight, degree of cerebral atrophy, severity of atherosclerosis, and the presence of brain infarcts. Early-life idea density was significantly related to the categories of late-life cognitive function, including mild cognitive impairments: low idea density was associated with greater impairment. Low idea density also was significantly associated with lower brain weight, higher degree of cerebral atrophy, more severe neurofibrillary pathology, and the likelihood of meeting neuropathologic criteria for Alzheimer's disease.

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“Mini-mental state”
Folstein, M. F., Folstein, S. E., & McHugh, P. R. (1975) · Journal of Psychiatric Research · doi:10.1016/0022-3956(75)90026-6 · Cited by 88,282
Neuropathological stageing of Alzheimer-related changes.
Braak, H., & Braak, E. (1991) · Acta Neuropathologica · doi:10.1007/bf00308809 · Cited by 16,123
Current concepts in mild cognitive impairment
Petersen, R. C., Doody, R., Kurz, A., Mohs, R. C., Morris, J. C., Rabins, P. V., Ritchie, K., Rossor, M., Thal, L., & Winblad, B. (2001) · Archives of Neurology · doi:10.1001/archneur.58.12.1985 · Cited by 4,781
Boston Naming Test
Kaplan, E., Goodglass, H., Weıntraub, S., & Segal, O. (2001) · Medical Entomology and Zoology · Cited by 4,378
A new rating scale for Alzheimer's disease
(1984) · American Journal of Psychiatry · doi:10.1176/ajp.141.11.1356 · Cited by 4,175
The Consortium to Establish a Registry for Alzheimer's Disease (CERAD). Part I. Clinical and neuropsychological assesment of Alzheimer's disease
Moms, J. C., Heyman, A., Mohs, R. C., Hughes, J. P., van Belle, G., Fillenbaum, G., Mellits, E. D., & Clark, C. (1989) · Neurology · doi:10.1212/wnl.39.9.1159 · Cited by 4,130
Consortium to Establish a Registry for Alzheimer's Disease (CERAD)
Fillenbaum, G., & Heyman, A. (2002) · doi:10.1002/0470846410.ch42(iii · Cited by 2,859
Brain Infarction and the Clinical Expression of Alzheimer Disease<subtitle>The Nun Study</subtitle>
Snowdon, D. A. (1997) · JAMA: The Journal of the American Medical Association · doi:10.1001/jama.1997.03540340047031 · Cited by 1,590
Self-citation
Positive emotions in early life and longevity: Findings from the nun study.
Danner, D. D., Snowdon, D. A., & Friesen, W. V. (2001) · Journal of Personality and Social Psychology · doi:10.1037//0022-3514.80.5.804 · Cited by 1,406
Self-citation
Word fluency and brain damage
Borkowski, J. G., Benton, A. L., & Spreen, O. (1967) · Neuropsychologia · doi:10.1016/0028-3932(67)90015-2 · Cited by 1,324

Show all 36 references

Research works printed but not linked: 1

Snowdon, 1997, Brain infarction and the clinical expression of Alzheimer disease: the Nun Study, JAMA, 277, 813, 10.1001/jama.277.10.813 · DOI · Paper page

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Authors: Riley, K. P., Snowdon, D. A., Desrosiers, M. F., & Markesbery, W. R.
Affiliations: University of Kentucky (US)
Corresponding author: Riley, Kathryn P.
ORCID: Snowdon, David A.
Venue: Neurobiology of Aging
Publisher: Elsevier BV
Published: 2005-03
Volume: 26
Issue: 3
Pages: 341-347
ISSN: 0197-4580 (ISSN-L)
DOI: 10.1016/j.neurobiolaging.2004.06.019
OpenAlex: W1980794267
Cited by: 303
References: 36
Citations by year: 2026: 7 · 2025: 13 · 2024: 6 · 2023: 16 · 2022: 11 · 2021: 15 · 2020: 29 · 2019: 15 · 2018: 18 · 2017: 19 · 2016: 13 · 2015: 14 · 2014: 18 · 2013: 13 · 2012: 19
FWCI: 6.22
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: Neurobiology of Aging (publishedVersion)
PubMed (publishedVersion)
Funders: National Institute on Aging (R01AG009862)
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 › Developmental and Educational Psychology › Aging and Gerontology Research
Keywords: idea density, late-life cognitive function, mild cognitive impairment, Alzheimer's disease pathology, neurofibrillary tangles, amyloid plaques, Braak staging, brain atrophy, brain weight, atherosclerosis, cerebral infarction, Nun Study
MeSH terms: Age Factors, Aged, Aged, 80 and over, Aging, Alzheimer Disease, Autopsy, Brain, Cognition, Cognition Disorders, Female, Humans, Language Development, Linguistics, Longitudinal Studies, Neuropsychological Tests, Predictive Value of Tests, Risk Factors, Vocabulary, Writing, Neurofibrillary Tangles

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Early life linguistic ability, late life cognitive function, and neuropathology: findings from the Nun Study

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