The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.
Pathways linking late-life depression to persistent cognitive impairment and dementia
Open accessAbstract
There is a strong association between late-life depression, cognitive impairment, cerebrovascular disease, and poor cognitive outcomes, including progressive dementia, especially Alzheimer's disease. While neuroimaging evidence suggests that cerebrovascular disease plays a prominent role, it seems that depression alone may also confer substantial risk for developing Alzheimer's disease. The relationships between the prominent cerebrovascular changes, other structural abnormalities, specific forms of cognitive dysfunction, and increased risk for developing Alzheimer's disease among those with late-life depression have been difficult to reconcile. The varied findings suggest that there are likely multiple pathways to poor cognitive outcomes. We present a framework outlining multiple, non-mutually exclusive etiologic links between depression, cognitive impairment, and progressive decline, including dementia. Importantly, the model is both testable and falsifiable. Going forward, using models such as this to inform research should accelerate knowledge acquisition on the depression/dementia relationship that may be useful for dementia prevention, monitoring the impact of depression treatment on clinical status and course of illness.
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Cites
What is cognitive reserve? Theory and research application of the reserve concept
STERN, Y. (2002) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617702813248 · Cited by 3,951
The Prevalence of Comorbid Depression in Adults With Diabetes
Anderson, R. J., Freedland, K. E., Clouse, R. E., & Lustman, P. J. (2001) · Diabetes Care · doi:10.2337/diacare.24.6.1069 · Cited by 3,926
Leisure Activities and the Risk of Dementia in the Elderly
Verghese, J., Lipton, R. B., Katz, M. J., Hall, C. B., Derby, C. A., Kuslansky, G., Ambrose, A. F., Sliwinski, M., & Buschke, H. (2003) · New England Journal of Medicine · doi:10.1056/nejmoa022252 · Cited by 1,961
Cortisol levels during human aging predict hippocampal atrophy and memory deficits
Lupien, S. J., de Leon, M., de Santi, S., Convit, A., Tarshish, C., Nair, N. P. V., Thakur, M., McEwen, B. S., Hauger, R. L., & Meaney, M. J. (1998) · Nature Neuroscience · doi:10.1038/271 · Cited by 1,653
Hippocampal volume and depression: a meta-analysis of MRI studies
Videbech, P., & Ravnkilde, B. (2004) · American Journal of Psychiatry · doi:10.1176/appi.ajp.161.11.1957 · Cited by 1,590
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
Sheline, Y. I., Sanghavi, M., Mintun, M. A., & Gado, M. H. (1999) · The Journal of Neuroscience · doi:10.1523/jneurosci.19-12-05034.1999 · Cited by 1,382 · cited 1×
“This interaction may underlie the observed association between hypercortisolemic disease states such as Cushing’s syndrome and depression, and both hippocampal atrophy and impairment in the verbal and spatial memory functions subserved by the hippocampus.(29,30) Animal studies suggest that high-stress conditions or ex…”
BackgroundLindsay, J. (2002) · American Journal of Epidemiology · doi:10.1093/aje/kwf074 · Cited by 1,261
Katzman, R., Terry, R., DeTeresa, R., Brown, T., Davies, P., Fuld, P., Renbing, X., & Peck, A. (1988) · Annals of Neurology · doi:10.1002/ana.410230206 · Cited by 1,225
Starkman, M. N., Gebarski, S. S., Berent, S., & Schteingart, D. E. (1992) · Biological Psychiatry · doi:10.1016/0006-3223(92)90079-f · Cited by 840
Cited by
The Lancet Commission on global mental health and sustainable development
Patel, V., Saxena, S., Lund, C., Thornicroft, G., Baingana, F., Bolton, P., Chisholm, D., Collins, P. Y., Cooper, J. L., Eaton, J., et al. (2018) · The Lancet · doi:10.1016/s0140-6736(18)31612-x · Cited by 3,692
Diniz, B. S., Butters, M. A., Albert, S. M., Dew, M. A., & Reynolds, C. F. (2013) · British Journal of Psychiatry · doi:10.1192/bjp.bp.112.118307 · Cited by 1,290
Self-citationDepression and risk of developing dementia
Byers, A. L., & Yaffe, K. (2011) · Nature Reviews Neurology · doi:10.1038/nrneurol.2011.60 · Cited by 1,265
Webster, S. J., Bachstetter, A. D., Nelson, P. T., Schmitt, F. A., & Van Eldik, L. J. (2014) · Frontiers in Genetics · doi:10.3389/fgene.2014.00088 · Cited by 755
“…studies have linked depression and AD (Chen et al., 1999; Charlson and Peterson, 2002; Ownby et al., 2006; Lenoir et al., 2011; Diniz et al., 2013), and several even consider late-life depression a significant risk factor for future development of AD (Butters et al., 2000, 2008; Diniz et al., 2013).”
BackgroundSubjective Cognitive Decline in Preclinical Alzheimer's Disease
Rabin, L. A., Smart, C. M., & Amariglio, R. E. (2017) · Annual Review of Clinical Psychology · doi:10.1146/annurev-clinpsy-032816-045136 · Cited by 590
Metadata
- Authors
- Butters, M. A., Young, J. B., Lopez, O., Aizenstein, H. J., Mulsant, B. H., Reynolds III, C. F., DeKosky, S. T., & Becker, J. T.
- Venue
- Dialogues in Clinical Neuroscience
- Publisher
- Informa UK Limited
- Published
- 2008-09-30
- Volume
- 10
- Issue
- 3
- Pages
- 345-357
- ISSN
- 1294-8322 (ISSN-L)
- 1958-5969
- OpenAlex
- W4780062
- Cited by
- 534
- References
- 30
- FWCI
- 9.61
- Type
- journal article
- Language
- en
- Open access
- diamond
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- Butters, M. A., Young, J. B., Lopez, O., Aizenstein, H. J., Mulsant, B. H., Reynolds III, C. F., DeKosky, S. T., & Becker, J. T. (2008). Pathways linking late-life depression to persistent cognitive impairment and dementia. Dialogues in Clinical Neuroscience. https://doi.org/10.31887/dcns.2008.10.3/mabutters
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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.
