The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Longitudinal CSF and MRI biomarkers improve the diagnosis of mild cognitive impairment
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Citations
Cites
Phases of Aβ-deposition in the human brain and its relevance for the development of AD
Thal, D. R., Rüb, U., Orantes, M., & Braak, H. (2002) · Neurology · doi:10.1212/wnl.58.12.1791 · Cited by 3,490
DeMattos, R. B., Bales, K. R., Cummins, D. J., Dodart, J.-C., Paul, S. M., & Holtzman, D. M. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.151261398 · Cited by 1,298
Correlation Between Elevated Levels of Amyloid β-Peptide in the Brain and Cognitive Decline
Näslund, J. (2000) · JAMA · doi:10.1001/jama.283.12.1571 · Cited by 1,268
Augustinack, J. C., Schneider, A., Mandelkow, E.-M., & Hyman, B. T. (2002) · Acta Neuropathologica · doi:10.1007/s004010100423 · Cited by 998
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
Sunderland, T., Linker, G., Mirza, N., Putnam, K. T., Friedman, D. L., Kimmel, L. H., Bergeson, J., Manetti, G. J., Zimmermann, M., Tang, B., et al. (2003) · JAMA · doi:10.1001/jama.289.16.2094 · Cited by 656
Antemortem MRI findings correlate with hippocampal neuropathology in typical aging and dementia
Jack, C. R., Dickson, D. W., Parisi, J. E., Xu, Y. C., Cha, R. H., O’Brien, P. C., Edland, S. D., Smith, G. E., Boeve, B. F., Tangalos, E. G., et al. (2002) · Neurology · doi:10.1212/wnl.58.5.750 · Cited by 610
Plasma and Cerebrospinal Fluid Levels of Amyloid β Proteins 1-40 and 1-42 in Alzheimer Disease
Mehta, P. D., Pirttilä, T., Mehta, S. P., Sersen, E. A., Aisen, P. S., & Wisniewski, H. M. (2000) · Archives of Neurology · doi:10.1001/archneur.57.1.100 · Cited by 582
Self-citationHippocampal formation glucose metabolism and volume losses in MCI and AD
De Santi, S., de Leon, M. J., Rusinek, H., Convit, A., Tarshish, C. Y., Roche, A., Tsui, W. H., Kandil, E., Boppana, M., Daisley, K., et al. (2001) · Neurobiology of Aging · doi:10.1016/s0197-4580(01)00230-5 · Cited by 548
Self-citationHampel, H., Teipel, S. J., Fuchsberger, T., Andreasen, N., Wiltfang, J., Otto, M., Shen, Y., Dodel, R., Du, Y., Farlow, M., et al. (2004) · Molecular Psychiatry · doi:10.1038/sj.mp.4001473 · Cited by 287
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Cited by
Cerebrospinal fluid biomarker signature in Alzheimer's disease neuroimaging initiative subjects
Shaw, L. M., Vanderstichele, H., Knapik‐Czajka, M., Clark, C. M., Aisen, P. S., Petersen, R. C., Blennow, K., Soares, H., Simon, A., Lewczuk, P., et al. (2009) · Annals of Neurology · doi:10.1002/ana.21610 · Cited by 2,065
Self-citationRevising the definition of Alzheimer's disease: a new lexicon
Dubois, B., Feldman, H. H., Jacova, C., Cummings, J. L., DeKosky, S. T., Barberger-Gateau, P., Delacourte, A., Frisoni, G., Fox, N. C., Galasko, D., et al. (2010) · The Lancet Neurology · doi:10.1016/s1474-4422(10)70223-4 · Cited by 1,869
Self-citationJack, C. R., Lowe, V. J., Weigand, S. D., Wiste, H. J., Senjem, M. L., Knopman, D. S., Shiung, M. M., Gunter, J. L., Boeve, B. F., Kemp, B. J., et al. (2009) · Brain · doi:10.1093/brain/awp062 · Cited by 1,099
Fjell, A. M., McEvoy, L., Holland, D., Dale, A. M., & Walhovd, K. B. (2014) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2014.02.004 · Cited by 799
Multi-Atlas Segmentation with Joint Label Fusion
Wang, H., Suh, J. W., Das, S. R., Pluta, J. B., Craige, C., & Yushkevich, P. A. (2013) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2012.143 · Cited by 796
Metadata
- Authors
- de Leon, M. J., DeSanti, S., Zinkowski, R., Mehta, P. D., Pratico, D., Segal, S., Rusinek, H., Li, J., Tsui, W., Saint Louis, L. A., Clark, C. M., Tarshish, C., Li, Y., Lair, L., Javier, E., Rich, K., Lesbre, P., Mosconi, L., Reisberg, B., Sadowski, M., DeBernadis, J. F., Kerkman, D. J., Hampel, H., Wahlund, L.-O., & Davies, P.
- Venue
- Neurobiology of Aging
- Publisher
- Elsevier BV
- Published
- 2006-03
- Volume
- 27
- Issue
- 3
- Pages
- 394-401
- ISSN
- 0197-4580 (ISSN-L)
- OpenAlex
- W2053935454
- Cited by
- 253
- References
- 14
- FWCI
- 11.55
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
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- CoChat. (2026). Citation check: Longitudinal CSF and MRI biomarkers improve the diagnosis of mild cognitive impairment. https://app.cochat.ai/papers/10.1016/j.neurobiolaging.2005.07.003
- The paper
- de Leon, M. J., DeSanti, S., Zinkowski, R., Mehta, P. D., Pratico, D., Segal, S., Rusinek, H., Li, J., Tsui, W., Saint Louis, L. A., Clark, C. M., Tarshish, C., Li, Y., Lair, L., Javier, E., Rich, K., Lesbre, P., Mosconi, L., Reisberg, B., . . . Davies, P. (2006). Longitudinal CSF and MRI biomarkers improve the diagnosis of mild cognitive impairment. Neurobiology of Aging. https://doi.org/10.1016/j.neurobiolaging.2005.07.003
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
