The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
In Vivo Evaluation of Brain Iron in Alzheimer Disease Using Magnetic Resonance Imaging
Abstract
BACKGROUND: The basal ganglia contain the highest levels of iron in the brain, and postmortem studies indicate a disruption of iron metabolism in the basal ganglia of patients with Alzheimer disease (AD). Iron can catalyze free radical reactions and may contribute to oxidative damage observed in AD brains. Treatments aimed at reducing oxidative damage have offered novel ways to delay the rate of progression and could possibly defer the onset of AD. Brain iron levels were quantified in vivo using a new magnetic resonance imaging method. METHODS: Thirty-one patients with AD and 68 control subjects participated in this study. A magnetic resonance imaging method was employed that quantifies the iron content of ferritin molecules (ferritin iron) with specificity through the combined use of high and low field-strength magnetic resonance imaging instruments. Three basal ganglia structures (caudate, putamen, and globus pallidus) and one comparison region (frontal lobe white matter) were evaluated. RESULTS: Basal ganglia ferritin iron levels were significantly increased in the caudate (P = .007; effect size, 0.69) and putamen (P = .008; effect size, 0.67) of AD subjects, with a trend toward an increase in the globus pallidus (P = .13). The increased basal ganglia ferritin iron levels were not a generalized phenomenon; white matter ferritin iron levels were unchanged in patients with AD (P = .50). CONCLUSIONS: The data replicate and extend prior results and suggest that basal ganglia ferritin iron levels are increased in AD. Prospective studies are needed to evaluate whether premorbid iron levels are increased in individuals who develop AD.
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
Copper, iron and zinc in Alzheimer's disease senile plaques
Lovell, M. A., Robertson, J. D., Teesdale, W. J., Campbell, J. L., & Markesbery, W. R. (1998) · Journal of the Neurological Sciences · doi:10.1016/s0022-510x(98)00092-6 · Cited by 2,120
Excess brain protein oxidation and enzyme dysfunction in normal aging and in Alzheimer disease.
Smith, C. D., Carney, J. M., Starke-Reed, P. E., Oliver, C. N., Stadtman, E. R., Floyd, R. A., & Markesbery, W. R. (1991) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.88.23.10540 · Cited by 1,296
Oxidative damage to mitochondrial DNA is increased in Alzheimer’s disease
Mecocci, P., MacGarvey, U., & Beal, M. F. (1994) · Annals of Neurology · doi:10.1002/ana.410360510 · Cited by 1,037
Oxidative damage to mitochondrial DNA shows marked age-dependent increases in human brain
Mecocci, P., MacGarvey, U., Kaufman, A. E., Koontz, D., Shoffner, J. M., Wallace, D. C., & Beal, M. F. (1993) · Annals of Neurology · doi:10.1002/ana.410340416 · Cited by 757
Good, P. F., Perl, D. P., Bierer, L. M., & Schmeidler, J. (1992) · Annals of Neurology · doi:10.1002/ana.410310310 · Cited by 476
Autopsy Samples of Alzheimer's Cortex Show Increased Peroxidation In Vitro
Subbarao, K. V., Richardson, J. S., & Ang, L. C. (1990) · Journal of Neurochemistry · doi:10.1111/j.1471-4159.1990.tb08858.x · Cited by 463
Brain iron and ferritin in Parkinson’s and Alzheimer’s diseases
Jellinger, K., Paulus, W., Grundke-Iqbal, I., Riederer, P., & Youdim, M. B. H. (1990) · Journal of Neural Transmission - Parkinson's Disease and Dementia Section · doi:10.1007/bf02252926 · Cited by 445
Transferrin and Iron in Normal, Alzheimer's Disease, and Parkinson's Disease Brain Regions
Loeffler, D. A., Connor, J. R., Juneau, P. L., Snyder, B. S., Kanaley, L., DeMaggio, A. J., Nguyen, H., Brickman, C. M., & LeWitt, P. A. (1995) · Journal of Neurochemistry · doi:10.1046/j.1471-4159.1995.65020710.x · Cited by 334
Connor, J. R., Snyder, B. S., Arosio, P., Loeffler, D. A., & LeWitt, P. (1995) · Journal of Neurochemistry · doi:10.1046/j.1471-4159.1995.65020717.x · Cited by 317 · cited 1×
“This result is consistent with postmortem data suggesting that basal ganglia iron homeostasis may be disrupted in AD as indicated by decreased transferrin-iron ratios,(62) increased ceruloplasmin levels (a protein that can be increased by increased iron levels),(63) mild (5%-15%) increases in iron levels,(21,65) and a…”
Increased basal ganglia iron levels in Huntington disease
Bartzokis, G., Cummings, J., Perlman, S., Hance, D. B., & Mintz, J. (1999) · Archives of Neurology · doi:10.1001/archneur.56.5.569 · Cited by 183
Self-citation
Cited by
Metals in Neurobiology: Probing Their Chemistry and Biology with Molecular Imaging
Que, E. L., Domaille, D. W., & Chang, C. J. (2008) · Chemical Reviews · doi:10.1021/cr078203u · Cited by 2,061
Magnetic resonance fingerprinting
Ma, D., Gulani, V., Seiberlich, N., Liu, K., Sunshine, J. L., Duerk, J. L., & Griswold, M. A. (2013) · Nature · doi:10.1038/nature11971 · Cited by 1,577
Imaging iron stores in the brain using magnetic resonance imaging
Haacke, E. M., Cheng, N. Y. C., House, M. J., Liu, Q., Neelavalli, J., Ogg, R. J., Khan, A., Ayaz, M., Kirsch, W., & Obenaus, A. (2005) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2004.10.001 · Cited by 995
Age-related myelin breakdown: a developmental model of cognitive decline and Alzheimer’s disease
Bartzokis, G. (2004) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2003.03.001 · Cited by 968
Self-citationA guide to assessing cellular senescence in vitro and in vivo
González‐Gualda, E., Baker, A. G., Fruk, L., & Muñoz‐Espín, D. (2021) · The FEBS Journal · doi:10.1111/febs.15570 · Cited by 645
Metadata
- Authors
- Bartzokis, G., Sultzer, D., Cummings, J., Holt, L. E., Hance, D. B., Henderson, V. W., & Mintz, J.
- Venue
- Archives of General Psychiatry
- Publisher
- American Medical Association (AMA)
- Published
- 2000-01-01
- Volume
- 57
- Issue
- 1
- Pages
- 47
- ISSN
- 0003-990X (ISSN-L)
- OpenAlex
- W2101855054
- Cited by
- 235
- References
- 10
- FWCI
- 4.19
- 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: In Vivo Evaluation of Brain Iron in Alzheimer Disease Using Magnetic Resonance Imaging. https://app.cochat.ai/papers/10.1001/archpsyc.57.1.47
- The paper
- Bartzokis, G., Sultzer, D., Cummings, J., Holt, L. E., Hance, D. B., Henderson, V. W., & Mintz, J. (2000). In Vivo Evaluation of Brain Iron in Alzheimer Disease Using Magnetic Resonance Imaging. Archives of General Psychiatry. https://doi.org/10.1001/archpsyc.57.1.47
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.