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A meta-analysis of hippocampal atrophy rates in Alzheimer's disease
Abstract
Hippocampal atrophy rates are useful in both diagnosing and tracking Alzheimer's disease (AD). However, cohorts and methods used to determine such rates are heterogeneous, leading to differences in reported annualised rates. We performed a meta-analysis of hippocampal atrophy rates in AD patients and matched controls from studies reported in the peer-reviewed literature. Studies reporting longitudinal volume change in hippocampi in AD subjects together with controls were systematically identified and appraised. All authors were contacted either to confirm the results or to provide missing data. Meta-analysis and meta-regression were then performed on this data. Nine studies were included from seven centres, with data from a total of 595 AD and 212 matched controls. Mean (95% CIs) annualised hippocampal atrophy rates were found to be 4.66% (95% CI 3.92, 5.40) for AD subjects and 1.41% (0.52, 2.30) for controls. The difference between AD and control subject in this rate was 3.33% (1.73, 4.94).
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Reduced hippocampal volume is closely associated with cognitive decline and progression to dementia.
“and reduced HV is closely associated with cognitive decline and progression to dementia [91–93].”
From Association of APOC1 with cortical atrophy during conversion to Alzheimer’s disease (2025) · cites this paper as [92]
Citations
Cites
Rates of hippocampal atrophy correlate with change in clinical status in aging and AD
Jack, C. R., Petersen, R. C., Xu, Y., O’Brien, P. C., Smith, G. E., Ivnik, R. J., Boeve, B. F., Tangalos, E. G., & Kokmen, E. (2000) · Neurology · doi:10.1212/wnl.55.4.484 · Cited by 937
Staging of Alzheimer-Related Cortical Destruction
Braak, H., Braak, E., & Bohl, J. (2008) · European Neurology · doi:10.1159/000116984 · Cited by 836 · cited 2×
“N IH -PA Author M anuscript N IH -PA Author M anuscript entorhinal cortex and hippocampus, to encompass the whole cortex, whereas plaque pathology is largely cortical and increases with disease severity (Braak et al., 1993).”
BackgroundComparison of different MRI brain atrophy rate measures with clinical disease progression in AD
Jack, C. R., Shiung, M. M., Gunter, J. L., O’Brien, P. C., Weigand, S. D., Knopman, D. S., Boeve, B. F., Ivnik, R. J., Smith, G. E., Cha, R. H., et al. (2004) · Neurology · doi:10.1212/01.wnl.0000110315.26026.ef · Cited by 827 · cited 7×
“In addition, loss of tissue volume over time can also be detected in large regions such as the whole brain (Jack et al., 2004) and in smaller temporal areas such as the hippocampus (Jack et al., 2004) and entorhinal cortex (Du et al., 2004).”
BackgroundMethodInfluentialEffects of Aβ immunization (AN1792) on MRI measures of cerebral volume in Alzheimer disease
Fox, N. C., Black, R. S., Gilman, S., Rossor, M. N., Griffith, S. G., Jenkins, L., & Koller, M. (2005) · Neurology · doi:10.1212/01.wnl.0000159743.08996.99 · Cited by 550 · cited 3×
“For the eight papers thus identified (Jack et al., 2003; Wang et al., 2003; Du et al., 2004; Jack et al., 2004; Thompson et al., 2004; Fox et al., 2005; Hashimoto et al., 2005; Barnes et al., 2005), we extended the search by examining reference lists and Web of Science, which yielded no further papers.”
BackgroundMethodSelf-citationKaye, J. A., Swihart, T., Howieson, D., Dame, A., Moore, M. M., Karnos, T., Camicioli, R., Ball, M., Oken, B., & Sexton, G. (1997) · Neurology · doi:10.1212/wnl.48.5.1297 · Cited by 399
Wang, L., Swank, J. S., Glick, I. E., Gado, M. H., Miller, M. I., Morris, J. C., & Csernansky, J. G. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00361-6 · Cited by 263
Hampel, H., Bürger, K., Pruessner, J. C., Zinkowski, R., DeBernardis, J., Kerkman, D., Leinsinger, G., Evans, A. C., Davies, P., Möller, H.-J., et al. (2005) · Archives of Neurology · doi:10.1001/archneur.62.5.770 · Cited by 175 · cited 2×
“, 2004, 2007a), three did not report annualised atrophy rate (Laakso et al., 2000; Krishnan et al., 2003; Hampel et al., 2005) and two included patients with Vascular Dementia (Cardenas et al.”
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Flagged first, then by citations
Research works printed but not linked: 27
- Barnes, 2007, Atrophy rates of the cingulate gyrus and hippocampus in AD and FTLD, Neurobiol. Aging, 28, 20, 10.1016/j.neurobiolaging.2005.11.012 · DOI
- Barnes, 2007, Automatic calculation of hippocampal atrophy rates using a hippocampal template and the boundary shift integral, Neurobiol. Aging, 28, 1657, 10.1016/j.neurobiolaging.2006.07.008 · DOI
- Barnes, 2004, Differentiating AD from aging using semiautomated measurement of hippocampal atrophy rates, Neuroimage, 23, 574, 10.1016/j.neuroimage.2004.06.028 · DOI
- Barnes, 2005, Does Alzheimer's disease affect hippocampal asymmetry? Evidence from a cross-sectional and longitudinal volumetric MRI study, Dement. Geriatr. Cogn. Disord., 19, 338, 10.1159/000084560 · DOI
- Cardenas, 2003, Comparison of methods for measuring longitudinal brain change in cognitive impairment and dementia, Neurobiol. Aging, 24, 537, 10.1016/S0197-4580(02)00130-6 · DOI
- Du, 2004, Higher atrophy rate of entorhinal cortex than hippocampus in AD, Neurology, 62, 422, 10.1212/01.WNL.0000106462.72282.90 · DOI
- Du, 2003, Atrophy rates of entorhinal cortex in AD and normal aging, Neurol., 60, 481, 10.1212/01.WNL.0000044400.11317.EC · DOI
- Fox, 1996, Presymptomatic hippocampal atrophy in Alzheimer's disease: a longitudinal MRI study, Brain, 119, 2001, 10.1093/brain/119.6.2001 · DOI · Paper page
- Hashimoto, 2005, Does donepezil treatment slow the progression of hippocampal atrophy in patients with Alzheimer's disease?, Am. J. Psychiatry, 162, 676, 10.1176/appi.ajp.162.4.676 · DOI
- Haller, 1997, Three-dimensional hippocampal MR morphometry with high-dimensional transformation of a neuroanatomical atlas, Radiology, 202, 504, 10.1148/radiology.202.2.9015081 · DOI
- Hsu, 2002, Comparison of Automated and Manual MRI Volumetry of Hippocampus in Normal Aging and Dementia, J. Magn. Reson. Imaging, 16, 305, 10.1002/jmri.10163 · DOI
- Jack, 1998, Rate of medial temporal lobe atrophy in typical aging and Alzheimer's disease, Neurology, 51, 993, 10.1212/WNL.51.4.993 · DOI · Paper page
- Jack, 2003, MRI as a biomarker of disease progression in a therapeutic trial of milameline for AD, Neurology, 60, 253, 10.1212/01.WNL.0000042480.86872.03 · DOI
- Kaye, 2005, Asynchronous regional brain volume losses in presymptomatic to moderate AD, J. Alzheimers Dis., 8, 51, 10.3233/JAD-2005-8106 · DOI
- Krishnan, 2003, Randomized, placebo-controlled trial of the effects of donepezil on neuronal markers and hippocampal volumes in Alzheimer's disease, Am. J. Psychiatry, 160, 2003, 10.1176/appi.ajp.160.11.2003 · DOI
- Laakso, 2000, Hippocampus in Alzheimer's disease: a 3-year follow-up MRI study, Biol. Psychiatry, 47, 557, 10.1016/S0006-3223(99)00167-5 · DOI
- Moffat, 2000, Longitudinal change in hippocampal volume as a function of apolipoprotein E genotype, Neurol., 55, 134, 10.1212/WNL.55.1.134 · DOI
- Mori, 2002, Accelerated hippocampal atrophy in Alzheimer's disease with apolipoprotein E epsilon4 allele, Ann. Neurol., 51, 209, 10.1002/ana.10093 · DOI
- Morrell, 1998, Likelihood ratio testing of variance components in the linear mixed-effects model using restricted maximum likelihood, Biometrics, 54, 1560, 10.2307/2533680 · DOI
- Mungas, 2005, Longitudinal volumetric MRI change and rate of cognitive decline, Neurology, 65, 565, 10.1212/01.wnl.0000172913.88973.0d · DOI · Paper page
- Ridha, 2006, Tracking atrophy progression in familial Alzheimer's disease: a serial MRI study, Lancet Neurol., 5, 828, 10.1016/S1474-4422(06)70550-6 · DOI · Paper page
- Scahill, 2003, A longitudinal study of brain volume changes in normal aging using serial registered magnetic resonance imaging, Arch. Neurol., 60, 989, 10.1001/archneur.60.7.989 · DOI
- Scheltens, 2002, Structural magnetic resonance imaging in the practical assessment of dementia: beyond exclusion, Lancet Neurol., 1, 13, 10.1016/S1474-4422(02)00002-9 · DOI
- Schott, 2005, Measuring atrophy in Alzheimer disease—a serial MRI study over 6 and 12 months, Neurology, 65, 119, 10.1212/01.wnl.0000167542.89697.0f · DOI
- Silbert, 2003, Changes in premorbid brain volume predict Alzheimer's disease pathology, Neurology, 61, 487, 10.1212/01.WNL.0000079053.77227.14 · DOI
- Small, 1997, Diagnosis and treatment of Alzheimer disease and related disorders. Consensus statement of the American Association for Geriatric Psychiatry, the Alzheimer's Association, and the American Geriatrics Society, JAMA, 278, 1363, 10.1001/jama.278.16.1363 · DOI
- Thompson, 2004, Mapping hippocampal and ventricular change in Alzheimer disease, Neuroimage, 22, 1754, 10.1016/j.neuroimage.2004.03.040 · DOI
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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
Self-citationBrain Imaging in Alzheimer Disease
Johnson, K. A., Fox, N. C., Sperling, R. A., & Klunk, W. E. (2012) · Cold Spring Harbor Perspectives in Medicine · doi:10.1101/cshperspect.a006213 · Cited by 875
Self-citationOne-Year Brain Atrophy Evident in Healthy Aging
Fjell, A. M., Walhovd, K. B., Fennema-Notestine, C., McEvoy, L. K., Hagler, D. J., Holland, D., Brewer, J. B., & Dale, A. M. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.3252-09.2009 · Cited by 692
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Hernández‐Ortega, K., Garcia‐Esparcia, P., Gil, L., Lucas, J. J., & Ferrer, I. (2016) · Brain Pathology · doi:10.1111/bpa.12335 · Cited by 245
Weniger, G., Ruhleder, M., Lange, C., Wolf, S., & Irle, E. (2011) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2010.12.031 · Cited by 204
Niemann, C., Godde, B., & Voelcker-Rehage, C. (2014) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2014.00170 · Cited by 190
Subfields of the hippocampal formation at 7 T MRI: In vivo volumetric assessment
Wisse, L. E. M., Gerritsen, L., Zwanenburg, J. J. M., Kuijf, H. J., Luijten, P. R., Biessels, G. J., & Geerlings, M. I. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.03.023 · Cited by 183
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Self-citationChincarini, A., Sensi, F., Rei, L., Gemme, G., Squarcia, S., Longo, R., Brun, F., Tangaro, S., Bellotti, R., Amoroso, N., et al. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2015.10.065 · Cited by 94
Kleemeyer, M. M., Kühn, S., Prindle, J., Bodammer, N. C., Brechtel, L., Garthe, A., Kempermann, G., Schaefer, S., & Lindenberger, U. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2015.11.026 · Cited by 98
Structural brain correlates of human sleep oscillations
Saletin, J. M., van der Helm, E., & Walker, M. P. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.06.021 · Cited by 93
Hippocampal atrophy rates and CSF biomarkers in elderly APOE 2 normal subjects
Chiang, G. C., Insel, P. S., Tosun, D., Schuff, N., Truran-Sacrey, D., Raptentsetsang, S. T., Jack, C. R., Aisen, P. S., Petersen, R. C., Weiner, M. W., et al. (2010) · Neurology · doi:10.1212/wnl.0b013e3181ffe4d1 · Cited by 94
Quantitative structural MRI for early detection of Alzheimer's disease
McEvoy, L. K., & Brewer, J. B. (2010) · Expert Review of Neurotherapeutics · doi:10.1586/ern.10.162 · Cited by 90
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Powell, T. R., Dima, D., Frangou, S., & Breen, G. (2018) · Neuropsychopharmacology · doi:10.1038/npp.2017.125 · Cited by 78
Borba, E. M., Duarte, J. A., Bristot, G., Scotton, E., Camozzato, A. L., & Chaves, M. L. F. (2016) · Dementia and Geriatric Cognitive Disorders Extra · doi:10.1159/000450601 · Cited by 67
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Kwak, K., Giovanello, K. S., Bozoki, A., Styner, M., & Dayan, E. (2021) · Cell Reports Medicine · doi:10.1016/j.xcrm.2021.100467 · Cited by 47
Association of APOC1 with cortical atrophy during conversion to Alzheimer’s disease
Oh, S., Kim, S., Kim, J. P., Seo, S. W., Park, B.-Y., & Park, H. (2025) · GeroScience · doi:10.1007/s11357-025-01695-6 · Cited by 4
Metadata
- Authors
- Barnes, J., Bartlett, J. W., van de Pol, L. A., Loy, C. T., Scahill, R. I., Frost, C., Thompson, P., & Fox, N. C.
- Venue
- Neurobiology of Aging
- Publisher
- Elsevier BV
- Published
- 2009-11
- Volume
- 30
- Issue
- 11
- Pages
- 1711-1723
- ISSN
- 0197-4580
- Cited by
- 373
- References
- 7
- Language
- en
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