The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
A 10-year follow-up of hippocampal volume on magnetic resonance imaging in early dementia and cognitive decline
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
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 [91]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
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
Silent Brain Infarcts and the Risk of Dementia and Cognitive Decline
Vermeer, S. E., Prins, N. D., den Heijer, T., Hofman, A., Koudstaal, P. J., & Breteler, M. M. B. (2003) · New England Journal of Medicine · doi:10.1056/nejmoa022066 · Cited by 2,313
Self-citationDifferences in the pattern of hippocampal neuronal loss in normal ageing and Alzheimer's disease
West, M. J., Coleman, P. D., Flood, D. G., & Troncoso, J. C. (1994) · The Lancet · doi:10.1016/s0140-6736(94)92338-8 · Cited by 1,267 · cited 2×
“A pathological study suggested differences in neuronal loss within the specific subregions of the hippocampus between normal ageing and Alzheimer’s disease (West et al., 1994).”
BackgroundMedial 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
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
Comparison 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 1×
“In the elderly, rates of hippocampal atrophy on MRI were found to be higher in cases with Alzheimer’s disease and mild cognitive impairment compared with controls (Du et al., 2004; Jack et al., 2004).”
BackgroundIncidence and Risk of Dementia: The Rotterdam study
Ott, A., Breteler, M. M. B., Harskamp, F. V., Stijnen, T., & Hofman, A. (1998) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a009489 · Cited by 455 · cited 3×
“The Rotterdam Study.”
MethodInfluentialSelf-citationWang, 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
Flagged first, then by citations
Research works printed but not linked: 34
- 2008, 40, 1655, 10.1016/j.neuroimage.2008.01.012 · DOI
- Barnes, 2006, Archives of Neurology, 63, 1434, 10.1001/archneur.63.10.1434 · DOI
- 2000, 95, 721
- Braak, 1997, Neurobiology of aging, 18, 351, 10.1016/S0197-4580(97)00056-0 · DOI · Paper page
- BRETELER, 2000, Annals of the New York Academy of Sciences, 903, 457, 10.1111/j.1749-6632.2000.tb06399.x · DOI
- 2008, Radiology, 248, 194, 10.1148/radiol.2481070876 · DOI
- Convit, 1995, Lancet, 345, 266, 10.1016/S0140-6736(95)90265-1 · DOI
- 2008, Brain, 131, 3277, 10.1093/brain/awn278 · DOI · Paper page
- de Leeuw, 1999, Annals of neurology, 46, 827, 10.1002/1531-8249(199912)46:6<827::AID-ANA4>3.0.CO;2-H · DOI
- den Heijer, 2006, Archives of General Psychiatry, 63, 57, 10.1001/archpsyc.63.1.57 · DOI
- 2003, Brain, 126, 170, 10.1093/brain/awg006 · DOI
- Devanand, 2007, Neurology, 68, 828, 10.1212/01.wnl.0000256697.20968.d7 · DOI
- Du, 2001, Journal of Neurology, Neurosurgery & Psychiatry, 71, 441, 10.1136/jnnp.71.4.441 · DOI
- Du, 2004, Neurology, 62, 422, 10.1212/01.WNL.0000106462.72282.90 · DOI
- 1996, A LONGITUDINAL MRI STUDY BRAIN, 119, 2001
- Gosche, 2002, Neurology, 58, 1476, 10.1212/WNL.58.10.1476 · DOI
- Horn, 1996, Dementia, 7, 182
- Ikram, 2008, Neurobiology of aging, 29, 882, 10.1016/j.neurobiolaging.2006.12.012 · DOI
- Jack, 1992, Neurology, 42, 183, 10.1212/WNL.42.1.183 · DOI
- Kril, 2002, Journal of Neurology, Neurosurgery & Psychiatry, 72, 747, 10.1136/jnnp.72.6.747 · DOI
- Laakso, 2000, Biological psychiatry, 47, 557, 10.1016/S0006-3223(99)00167-5 · DOI
- McKhann, 1984, Neurology, 34, 939, 10.1212/WNL.34.7.939 · DOI · Paper page
- Morra, 2009, 45, S3, 10.1016/j.neuroimage.2008.10.043 · DOI
- Mungas, 2005, Neurology, 65, 565, 10.1212/01.wnl.0000172913.88973.0d · DOI · Paper page
- Palmer, 2008, International psychogeriatrics / IPA, 20, 252, 10.1017/S1041610207006564 · DOI
- Palmer, 2008, American Journal of Geriatric Psychiatry, 16, 603, 10.1097/JGP.0b013e3181753a64 · DOI
- 2005, Brain, 128, 2034, 10.1093/brain/awh553 · DOI
- Ridha, 2006, Lancet. Neurology, 5, 828, 10.1016/S1474-4422(06)70550-6 · DOI · Paper page
- Ridha, 2007, Archives of Neurology, 64, 849, 10.1001/archneur.64.6.849 · DOI
- Roman, 1993, Neurology, 43, 250, 10.1212/WNL.43.2.250 · DOI · Paper page
- Ruitenberg, 2001, Neurobiology of aging, 22, 575, 10.1016/S0197-4580(01)00231-7 · DOI · Paper page
- Sonnen, 2008, Lancet. Neurology, 7, 704, 10.1016/S1474-4422(08)70162-5 · DOI
- Thomas, 2008, Journal of magnetic resonance imaging : JMRI, 28, 1266, 10.1002/jmri.21576 · DOI
- van der Lijn, 2008, 43, 708, 10.1016/j.neuroimage.2008.07.058 · DOI
Cited by
Sorted by citations
Advancing research diagnostic criteria for Alzheimer's disease: the IWG-2 criteria
Dubois, B., Feldman, H. H., Jacova, C., Hampel, H., Molinuevo, J. L., Blennow, K., DeKosky, S. T., Gauthier, S., Selkoe, D., Bateman, R., et al. (2014) · The Lancet Neurology · doi:10.1016/s1474-4422(14)70090-0 · Cited by 3,321
Davies, N. M., Kehoe, P. G., Ben-Shlomo, Y., & Martin, R. M. (2011) · Journal of Alzheimer’s Disease · doi:10.3233/jad-2011-110347 · Cited by 212
Cacciaglia, R., Molinuevo, J. L., Falcón, C., Brugulat‐Serrat, A., Sánchez‐Benavides, G., Gramunt, N., Esteller, M., Morán, S., Minguillón, C., Fauria, K., et al. (2018) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2018.01.016 · Cited by 124
Amygdala and hippocampus volumetry and diffusivity in relation to dreaming
De Gennaro, L., Cipolli, C., Cherubini, A., Assogna, F., Cacciari, C., Marzano, C., Curcio, G., Ferrara, M., Caltagirone, C., & Spalletta, G. (2011) · Human Brain Mapping · doi:10.1002/hbm.21120 · Cited by 79
Papma, J. M., den Heijer, T., de Koning, I., Mattace-Raso, F. U., van der Lugt, A., van der Lijn, F., van Swieten, J. C., Koudstaal, P. J., Smits, M., & Prins, N. D. (2013) · NeuroImage: Clinical · doi:10.1016/j.nicl.2012.11.005 · Cited by 48
Self-citationSakurai, R., Ishii, K., Sakuma, N., Yasunaga, M., Suzuki, H., Murayama, Y., Nishi, M., Uchida, H., Shinkai, S., & Fujiwara, Y. (2018) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.4785 · Cited by 37
Soucy, J.-P., Bartha, R., Bocti, C., Borrie, M., Burhan, A. M., Laforce, R., & Rosa-Neto, P. (2013) · Alzheimer's Research & Therapy · doi:10.1186/alzrt199 · Cited by 25
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
- den Heijer, T., van der Lijn, F., Koudstaal, P. J., Hofman, A., van der Lugt, A., Krestin, G. P., Niessen, W. J., & Breteler, M. M. B.
- Venue
- Brain
- Publisher
- Oxford University Press (OUP)
- Published
- 2010-04-01
- Volume
- 133
- Issue
- 4
- Pages
- 1163-1172
- ISSN
- 0006-8950
- 1460-2156
- Cited by
- 227
- References
- 8
- Language
- en
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review