A computational model of neurodegeneration in Alzheimer’s disease
Open accessAbstract
Disruption of mental functions in Alzheimer’s disease (AD) and related disorders is accompanied by selective degeneration of brain regions. These regions comprise large-scale ensembles of cells organized into systems for mental functioning, however the relationship between clinical symptoms of dementia, patterns of neurodegeneration, and functional systems is not clear. Here we present a model of the association between dementia symptoms and degenerative brain anatomy using F18-fluorodeoxyglucose PET and dimensionality reduction techniques in two cohorts of patients with AD. This reflected a simple information processing-based functional description of macroscale brain anatomy which we link to AD physiology, functional networks, and mental abilities. We further apply the model to normal aging and seven degenerative diseases of mental functions. We propose a global information processing model for mental functions that links neuroanatomy, cognitive neuroscience and clinical neurology.
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The participants in this study were relatively young (average age 65 years) compared to ADNI and BioFinder cohorts.
“According to our inclusion criteria, the participants in this study were relatively young (average age: 65 years) comparing to ADNI and BioFinder cohorts11,40,41.”
From Integrated algorithm combining plasma biomarkers and cognitive assessments accurately predicts brain β-amyloid pathology (2023) · cites this paper as [41]
Table 1 in Results > Patients reports a median age of 74.5 years for the ADNI cohort, supporting the comparison with participants aged about 65. The paper does not report a BioFinder cohort age, and its age-65 figure refers to a separate group of cognitively unimpaired Mayo participants, not the citing study’s participants. The citing study’s average age is therefore not established by this source. (LLM, conf=0.85)
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Cited by
Sorted by citations
A synergetic turn in cognitive neuroscience of brain diseases
Ibanez, A., Kringelbach, M. L., & Deco, G. (2024) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2023.12.006 · Cited by 65 · see citing works
Pan, F., Huang, Y., Cai, X., Wang, Y., Guan, Y., Deng, J., Yang, D., Zhu, J., Zhao, Y., Xie, F., et al. (2023) · Communications Medicine · doi:10.1038/s43856-023-00295-9 · Cited by 27 · see citing works
“According to our inclusion criteria, the participants in this study were relatively young (average age: 65 years) comparing to ADNI and BioFinder cohorts 11,40,41 .”
Barnard, L., Botha, H., Corriveau-Lecavalier, N., Graff-Radford, J., Dicks, E., Gogineni, V., Zhang, G., Burkett, B. J., Johnson, D. R., Huls, S. J., et al. (2025) · Neurology · doi:10.1212/wnl.0000000000213831 · Cited by 25 · see citing works
Self-citation
- Authors
- Jones, D., Lowe, V., Graff-Radford, J., Botha, H., Barnard, L., Wiepert, D., Murphy, M. C., Murray, M., Senjem, M., Gunter, J., Wiste, H., Boeve, B., Knopman, D., Petersen, R., & Jack, C.
- Affiliations
- Mayo Clinic (US)
- Corresponding author
- Jones, D.
- ORCID
- Venue
- Nature Communications
- Published
- 2022-03-28
- Volume
- 13
- Issue
- 1
- Pages
- 1643-1643
- ISSN
- 2041-1723 (ISSN-L)
- PMC
- PMC8960876
- OpenAlex
- W4220841730
- Cited by
- 78
- References
- 11
- Citations by year
- 2026: 7 · 2025: 17 · 2024: 25 · 2023: 22 · 2022: 7
- FWCI
- 11.57
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Nature Communications (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- U.S. Department of Health & Human Services | National Institutes of Health (P30 AG62677, P50 AG016574)
- U.S. Department of Health & Human Services | NIH | National Institute on Aging (U01 AG06786, R01 AG011378, R01 AG041851)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Keywords
- Alzheimer's disease, neurodegeneration, dementia symptoms, dimensionality reduction, functional brain networks, information processing model, cognitive function, normal aging, neurodegenerative diseases, computational model of cognition
- MeSH terms
- Alzheimer Disease, Brain, Cognition, Humans, Fluorodeoxyglucose F18, Positron-Emission Tomography
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