The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Temporal Lobe Regions on Magnetic Resonance Imaging Identify Patients With Early Alzheimer's Disease
Abstract
OBJECTIVE: The goal of the study was to examine the volume of selected brain regions in a group of mildly impaired patients with Alzheimer's disease (AD). Five regions were selected for analysis, all of which have been reported to show substantial change in the majority of patients with AD at some time in the course of disease. DESIGN: Case-control study with the experimenter "blinded." SETTING: Hospital-based magnetic resonance imaging center. PARTICIPANTS: Fifteen subjects, eight patients with the diagnosis of probable dementia of the Alzheimer type made in concordance with National Institute of Neurological and Communicative Diseases and Stroke/Alzheimer's Disease and Related Disorders Association criteria and seven age-matched healthy control subjects. RESULTS: Three of the volumetric measures were significantly different between patients with AD and controls: the hippocampus, the temporal horn of the lateral ventricles, and the temporal lobe. Two of the measures did not significantly differentiate patients with AD and controls: the amygdala and the basal forebrain. A discriminant function analysis demonstrated that a linear combination of the volumes of the hippocampus and the temporal horn of the lateral ventricles differentiated 100% of the patients and controls from one another. CONCLUSIONS: The results suggest that the hippocampus and the temporal horn of the lateral ventricles may be useful as antemortem markers of AD in mildly impaired patients.
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
Zola-Morgan, S., Squire, L., & Amaral, D. (1986) · The Journal of Neuroscience · doi:10.1523/jneurosci.06-10-02950.1986 · Cited by 1,997
Perforant pathway changes and the memory impairment of Alzheimer's disease
Hyman, B. T., Van Hoesen, G. W., Kromer, L. J., & Damasio, A. R. (1986) · Annals of Neurology · doi:10.1002/ana.410200406 · Cited by 672
Ball, M. J. (1977) · Acta Neuropathologica · doi:10.1007/bf00692056 · Cited by 639
Morris, J. C., McKeel, D. W., Storandt, M., Rubin, E. H., Price, J. L., Grant, E. A., Ball, M. J., & Berg, L. (1991) · Neurology · doi:10.1212/wnl.41.4.469 · Cited by 473
Quantitative NMR measurements of hippocampal atrophy in Alzheimer's disease
Seab, J. P., Jagust, W. J., Wong, S. T. S., Roos, M. S., Reed, B. R., & Budinger, T. F. (1988) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910080210 · Cited by 364
Cited by
Desikan, R. S., Ségonne, F., Fischl, B., Quinn, B. T., Dickerson, B. C., Blacker, D., Buckner, R. L., Dale, A. M., Maguire, R. P., Hyman, B. T., et al. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.01.021 · Cited by 13,324
Self-citationFischl, B., Salat, D. H., Busa, E., Albert, M., Dieterich, M., Haselgrove, C., van der Kouwe, A., Killiany, R., Kennedy, D., Klaveness, S., et al. (2002) · Neuron · doi:10.1016/s0896-6273(02)00569-x · Cited by 8,610
Self-citationInflammation and Alzheimer’s disease
Akiyama, H. (2000) · Neurobiology of Aging · doi:10.1016/s0197-4580(00)00124-x · Cited by 4,514
Marcus, D. S., Wang, T. H., Parker, J., Csernansky, J. G., Morris, J. C., & Buckner, R. L. (2007) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2007.19.9.1498 · Cited by 2,163
Memory and Executive Function in Aging and AD
Buckner, R. L. (2004) · Neuron · doi:10.1016/j.neuron.2004.09.006 · Cited by 1,508
Metadata
- Authors
- Killiany, R. J., Moss, M. B., Albert, M. S., Sandor, T., Tieman, J., & Jolesz, F.
- Venue
- Archives of Neurology
- Publisher
- American Medical Association (AMA)
- Published
- 1993-09-01
- Volume
- 50
- Issue
- 9
- Pages
- 949-954
- ISSN
- 0003-9942 (ISSN-L)
- OpenAlex
- W2025627647
- Cited by
- 373
- References
- 5
- FWCI
- 12.33
- 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: Temporal Lobe Regions on Magnetic Resonance Imaging Identify Patients With Early Alzheimer's Disease. https://app.cochat.ai/papers/10.1001/archneur.1993.00540090052010
- The paper
- Killiany, R. J., Moss, M. B., Albert, M. S., Sandor, T., Tieman, J., & Jolesz, F. (1993). Temporal Lobe Regions on Magnetic Resonance Imaging Identify Patients With Early Alzheimer's Disease. Archives of Neurology. https://doi.org/10.1001/archneur.1993.00540090052010
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.