The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
The prediction of rapid conversion to Alzheimer's disease in mild cognitive impairment using regional cerebral blood flow SPECT
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.
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
Petersen, R. C., Stevens, J. C., Ganguli, M., Tangalos, E. G., Cummings, J. L., & DeKosky, S. T. (2001) · Neurology · doi:10.1212/wnl.56.9.1133 · Cited by 2,065
Metabolic reduction in the posterior cingulate cortex in very early Alzheimer's disease
Minoshima, S., Giordani, B., Berent, S., Frey, K. A., Foster, N. L., & Kuhl, D. E. (1997) · Annals of Neurology · doi:10.1002/ana.410420114 · Cited by 1,802
Prediction 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
Functional brain abnormalities in young adults at genetic risk for late-onset Alzheimer's dementia
Reiman, E. M., Chen, K., Alexander, G. E., Caselli, R. J., Bandy, D., Osborne, D., Saunders, A. M., & Hardy, J. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2635903100 · Cited by 977
Hippocampal 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
Nestor, P. J., Fryer, T. D., Ikeda, M., & Hodges, J. R. (2003) · European Journal of Neuroscience · doi:10.1046/j.1460-9568.2003.02999.x · Cited by 227
Cited by
Cerebral blood flow regulation and neurovascular dysfunction in Alzheimer disease
Kisler, K., Nelson, A. R., Montagne, A., & Zlokovic, B. V. (2017) · Nature Reviews Neuroscience · doi:10.1038/nrn.2017.48 · Cited by 1,243
Review: Cerebral microvascular pathology in ageing and neurodegeneration
Brown, W. R., & Thore, C. R. (2011) · Neuropathology and Applied Neurobiology · doi:10.1111/j.1365-2990.2010.01139.x · Cited by 749
Vascular dysfunction—The disregarded partner of Alzheimer's disease
Sweeney, M. D., Montagne, A., Sagare, A. P., Nation, D. A., Schneider, L. S., Chui, H. C., Harrington, M. G., Pa, J., Law, M., Wang, D. J. J., et al. (2019) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2018.07.222 · Cited by 711
Multimodal techniques for diagnosis and prognosis of Alzheimer's disease
Perrin, R. J., Fagan, A. M., & Holtzman, D. M. (2009) · Nature · doi:10.1038/nature08538 · Cited by 702
Villain, N., Desgranges, B., Viader, F., de la Sayette, V., Mezenge, F., Landeau, B., Baron, J.-C., Eustache, F., & Chetelat, G. (2008) · Journal of Neuroscience · doi:10.1523/jneurosci.1392-08.2008 · Cited by 366
Metadata
- Authors
- Hirao, K., Ohnishi, T., Hirata, Y., Yamashita, F., Mori, T., Moriguchi, Y., Matsuda, H., Nemoto, K., Imabayashi, E., Yamada, M., Iwamoto, T., Arima, K., & Asada, T.
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2005-12
- Volume
- 28
- Issue
- 4
- Pages
- 1014-1021
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W2091990223
- Cited by
- 263
- References
- 6
- FWCI
- 7.52
- Type
- journal article
- Language
- en
- Open access
- closed
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The prediction of rapid conversion to Alzheimer's disease in mild cognitive impairment using regional cerebral blood flow SPECT. https://app.cochat.ai/papers/10.1016/j.neuroimage.2005.06.066
- The paper
- Hirao, K., Ohnishi, T., Hirata, Y., Yamashita, F., Mori, T., Moriguchi, Y., Matsuda, H., Nemoto, K., Imabayashi, E., Yamada, M., Iwamoto, T., Arima, K., & Asada, T. (2005). The prediction of rapid conversion to Alzheimer's disease in mild cognitive impairment using regional cerebral blood flow SPECT. NeuroImage. https://doi.org/10.1016/j.neuroimage.2005.06.066
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.
