The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Impact of diabetes on cognitive function and brain structure
Open accessAbstract
Both type 1 and type 2 diabetes have been associated with reduced performance on multiple domains of cognitive function and with structural abnormalities in the brain. With an aging population and a growing epidemic of diabetes, central nervous system–related complications of diabetes are expected to rise and could have challenging future public health implications. In this review, we will discuss the brain structural and functional changes that have been associated with type 1 and type 2 diabetes. Diabetes duration and glycemic control may play important roles in the development of cognitive impairment in diabetes, but the exact underlying pathophysiological mechanisms causing these changes in cognition and structure are not well understood. Future research is needed to better understand the natural history and the underlying mechanisms, as well as to identify risk factors that predict who is at greatest risk of developing cognitive impairment. This information will lead to the development of new strategies to minimize the impact of diabetes on cognitive function.
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
A default mode of brain function
Raichle, M. E., MacLeod, A. M., Snyder, A. Z., Powers, W. J., Gusnard, D. A., & Shulman, G. L. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.98.2.676 · Cited by 12,190
Brain magnetic resonance imaging with contrast dependent on blood oxygenation.
Ogawa, S., Lee, T. M., Kay, A. R., & Tank, D. W. (1990) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.87.24.9868 · Cited by 6,483
Functional connectivity in the resting brain: a network analysis of the default mode hypothesis
Greicius, M. D., Krasnow, B., Reiss, A. L., & Menon, V. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0135058100 · Cited by 6,358
Consistent resting-state networks across healthy subjects
Damoiseaux, J. S., Rombouts, S. A. R. B., Barkhof, F., Scheltens, P., Stam, C. J., Smith, S. M., & Beckmann, C. F. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0601417103 · Cited by 4,326
Hearing loss and cognitive decline in older adults
Lin, F. R., Yaffe, K., Xia, J., Xue, Q.-L., Harris, T. B., Purchase-Helzner, E., Satterfield, S., Ayonayon, H. N., Ferrucci, L., Simonsick, E. M., et al. (2013) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2013.1868 · Cited by 4,017
Risk of dementia in diabetes mellitus: a systematic review
Biessels, G. J., Staekenborg, S., Brunner, E., Brayne, C., & Scheltens, P. (2006) · The Lancet Neurology · doi:10.1016/s1474-4422(05)70284-2 · Cited by 2,187
A Parametric Manipulation of Factors Affecting Task-induced Deactivation in Functional Neuroimaging
McKiernan, K. A., Kaufman, J. N., Kucera-Thompson, J., & Binder, J. R. (2003) · Journal of Cognitive Neuroscience · doi:10.1162/089892903321593117 · Cited by 1,080
Cognitive decline and dementia in diabetes—systematic overview of prospective observational studies
Cukierman, T., Gerstein, H. C., & Williamson, J. D. (2005) · Diabetologia · doi:10.1007/s00125-005-0023-4 · Cited by 1,049
Yoshitake, T., Kiyohara, Y., Kato, I., Ohmura, T., Iwamoto, H., Nakayama, K., Ohmori, S., Nomiyama, K., Kawano, H., Ueda, K., et al. (1995) · Neurology · doi:10.1212/wnl.45.6.1161 · Cited by 829
Long-term effect of diabetes and its treatment on cognitive function
(2007) · New England Journal of Medicine · doi:10.1056/nejmoa066397 · Cited by 646
Cited by
Impairment of the glymphatic system after diabetes
Jiang, Q., Zhang, L., Ding, G., Davoodi-Bojd, E., Li, Q., Li, L., Sadry, N., Nedergaard, M., Chopp, M., & Zhang, Z. (2017) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1177/0271678x16654702 · Cited by 308
Central nervous pathways of insulin action in the control of metabolism and food intake
Kullmann, S., Kleinridders, A., Small, D. M., Fritsche, A., Häring, H.-U., Preissl, H., & Heni, M. (2020) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(20)30113-3 · Cited by 233
Microbial-derived metabolites as a risk factor of age-related cognitive decline and dementia
Connell, E., Le Gall, G., Pontifex, M. G., Sami, S., Cryan, J. F., Clarke, G., Müller, M., & Vauzour, D. (2022) · Molecular Neurodegeneration · doi:10.1186/s13024-022-00548-6 · Cited by 208
An Effective Model of Diabetes Care and Education: Revising the AADE7 Self-Care Behaviors ®
American Association of Diabetes Educators (2020) · The Diabetes Educator · doi:10.1177/0145721719894903 · Cited by 184
Evaluation of Glymphatic System Using Diffusion MR Technique in T2DM Cases
Yang, G., Deng, N., Liu, Y., Gu, Y., & Yao, X. (2020) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2020.00300 · Cited by 130
Metadata
- Authors
- Moheet, A., Mangia, S., & Seaquist, E. R.
- Venue
- Annals of the New York Academy of Sciences
- Publisher
- Wiley
- Published
- 2015-07
- Volume
- 1353
- Issue
- 1
- Pages
- 60-71
- ISSN
- 0077-8923 (ISSN-L)
- 1749-6632
- OpenAlex
- W2123416594
- Cited by
- 510
- References
- 14
- FWCI
- 13.51
- Type
- journal article
- Language
- en
- Open access
- green
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: Impact of diabetes on cognitive function and brain structure. https://app.cochat.ai/papers/10.1111/nyas.12807
- The paper
- Moheet, A., Mangia, S., & Seaquist, E. R. (2015). Impact of diabetes on cognitive function and brain structure. Annals of the New York Academy of Sciences. https://doi.org/10.1111/nyas.12807
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.
