The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Hippocampal volume as an index of Alzheimer neuropathology: Findings from the Nun Study
Abstract
OBJECTIVE: To determine whether hippocampal volume is a sensitive and specific indicator of Alzheimer neuropathology, regardless of the presence or absence of cognitive and memory impairment. METHODS: Postmortem MRI scans were obtained for the first 56 participants of the Nun Study who were scanned. The area under receiver operating characteristic curves, sensitivity, specificity, and positive and negative predictive values were used to assess the diagnostic accuracy of hippocampal volume in predicting fulfillment of Alzheimer neuropathologic criteria and differences in Braak staging. RESULTS: Hippocampal volume predicted fulfillment of neuropathologic criteria for AD for all 56 participants (p < 0.001): 24 sisters who were demented (p = 0.036); 32 sisters who remained nondemented (p < 0.001), 8 sisters who remained nondemented but had memory impairment (p < 0.001), and 24 sisters who were intact with regard to memory and cognition at the final examination prior to death (p = 0.003). In individuals who remained nondemented, hippocampal volume was a better indicator of AD neuropathology than a delayed memory measure. Among nondemented sisters, Braak stages III and VI were distinguishable from Braak stages II or lower (p = 0.001). Among cognitively intact individuals, those in Braak stage II could be distinguished from those in stage I or less (p = 0.025). CONCLUSION: Volumetric measures of the hippocampus may be useful in identifying nondemented individuals who satisfy neuropathologic criteria for AD as well as pathologic stages of AD that may be present decades before initial clinical expression.
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Cites
Neuropathological stageing of Alzheimer-related changes.
Braak, H., & Braak, E. (1991) · Acta Neuropathologica · doi:10.1007/bf00308809 · Cited by 16,123
Mild Cognitive Impairment: Clinical Characterization and Outcome
Petersen, R. C., Smith, G. E., Waring, S. C., Ivnik, R. J., Tangalos, E. G., & Kokmen, E. (1999) · Archives of Neurology · doi:10.1001/archneur.56.3.303 · Cited by 8,980
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
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-citationPrediction of AD with MRI-based hippocampal volume in mild cognitive impairment
Jack, C. R., Petersen, R. C., Xu, Y. C., O’Brien, P. C., Smith, G. E., Ivnik, R. J., Boeve, B. F., Waring, S. C., Tangalos, E. G., & Kokmen, E. (1999) · Neurology · doi:10.1212/wnl.52.7.1397 · Cited by 1,404
Katzman, R., Terry, R., DeTeresa, R., Brown, T., Davies, P., Fuld, P., Renbing, X., & Peck, A. (1988) · Annals of Neurology · doi:10.1002/ana.410230206 · Cited by 1,225
Medial temporal atrophy on MRI in normal aging and very mild Alzheimer's disease
Jack, C. R., Petersen, R. C., Xu, Y. C., Waring, S. C., O'Brien, P. C., Tangalos, E. G., Smith, G. E., Ivnik, R. J., & Kokmen, E. (1997) · Neurology · doi:10.1212/wnl.49.3.786 · Cited by 1,128
Welsh, K. A., Butters, N., Mohs, R. C., Beekly, D., Edland, S., Fillenbaum, G., & Heyman, A. (1994) · Neurology · doi:10.1212/wnl.44.4.609 · Cited by 951
Snowdon, D. A. (1996) · JAMA · doi:10.1001/jama.1996.03530310034029 · Cited by 696
Self-citationCrystal, H., Dickson, D., Fuld, P., Masur, D., Scott, R., Mehler, M., Masdeu, J., Kawas, C., Aronson, M., & Wolfson, L. (1988) · Neurology · doi:10.1212/wnl.38.11.1682 · Cited by 586
Cited by
Research criteria for the diagnosis of Alzheimer's disease: revising the NINCDS–ADRDA criteria
Dubois, B., Feldman, H. H., Jacova, C., DeKosky, S. T., Barberger-Gateau, P., Cummings, J., Delacourte, A., Galasko, D., Gauthier, S., Jicha, G., et al. (2007) · The Lancet Neurology · doi:10.1016/s1474-4422(07)70178-3 · Cited by 4,411
Regional Brain Changes in Aging Healthy Adults: General Trends, Individual Differences and Modifiers
Raz, N., Lindenberger, U., Rodrigue, K. M., Kennedy, K. M., Head, D., Williamson, A., Dahle, C., Gerstorf, D., & Acker, J. D. (2005) · Cerebral Cortex · doi:10.1093/cercor/bhi044 · Cited by 2,875
The clinical use of structural MRI in Alzheimer disease
Frisoni, G. B., Fox, N. C., Jack, C. R., Scheltens, P., & Thompson, P. M. (2010) · Nature Reviews Neurology · doi:10.1038/nrneurol.2009.215 · Cited by 2,113
Differential aging of the brain: Patterns, cognitive correlates and modifiers
Raz, N., & Rodrigue, K. M. (2006) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2006.07.001 · Cited by 1,195
Dickerson, B. C., Bakkour, A., Salat, D. H., Feczko, E., Pacheco, J., Greve, D. N., Grodstein, F., Wright, C. I., Blacker, D., Rosas, H. D., et al. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhn113 · Cited by 1,153
Metadata
- Authors
- Gosche, K. M., Mortimer, J. A., Smith, C. D., Markesbery, W. R., & Snowdon, D. A.
- Venue
- Neurology
- Published
- 2002-05-28
- Volume
- 58
- Issue
- 10
- Pages
- 1476-1482
- ISSN
- 0028-3878 (ISSN-L)
- 1526-632X
- OpenAlex
- W2028989537
- Cited by
- 359
- References
- 12
- FWCI
- 9.29
- Type
- journal article
- Language
- en
- Open access
- closed
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