The DOI matches its Crossref record; 53 of the 56 references it cites were found in a registry or an index.
Hippocampus Atrophy and the Longitudinal Course of Late-life Depression
Open accessAbstract
Objectives Smaller hippocampal volumes are observed in depression but it remains unclear how antidepressant response and persistent depression relate to changes in hippocampal volume. We examined the longitudinal relationship between hippocampal atrophy and course of late-life depression.Setting Academic medical center.Participants Depressed and never-depressed cognitively intact subjects age 60 years or older.Measurements Depression severity was measured every three months with the Montgomery-Asberg Depression Rating Scale (MADRS). Participants also completed cranial 1.5-T magnetic resonance imaging every 2 years. We compared 2-year change in hippocampal volume based on remission status, then in expanded analyses examined how hippocampal volumes predicted MADRS score.Results In analyses of 92 depressed and 70 never-depressed subjects, over 2 years the cohort whose depression never remitted exhibited greater hippocampal atrophy than the never-depressed cohort. In expanded analyses of a broader sample of 152 depressed elders, depression severity was significantly predicted by a hippocampus × time interaction where smaller hippocampus volumes over time were associated with greater depression severity.Conclusions Hippocampal atrophy is associated with greater and persistent depression severity. Neuropathological studies are needed to determine if this atrophy is related to the toxic effects of persistent depression or related to underlying Alzheimer disease.
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.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“longitudinal work has shown that hippocampal and mPFC volume reductions become more pronounced when depressive symptoms do not remit (35,38).”
From The Impact of Stress and Major Depressive Disorder on Hippocampal and Medial Prefrontal Cortex Morphology (2019) · cites this paper as [35]
In the citing paper
“and non-remission/treatment resistance (28,31–38).”
From The Impact of Stress and Major Depressive Disorder on Hippocampal and Medial Prefrontal Cortex Morphology (2019) · cites this paper as [35]
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
Folstein, M. F., Folstein, S. E., & McHugh, P. R. (1975) · Journal of Psychiatric Research · doi:10.1016/0022-3956(75)90026-6 · Cited by 88,282
A new depression scale designed to be sensitive to change
Montgomery, S. A., & Åsberg, M. (1979) · British Journal of Psychiatry · doi:10.1192/bjp.134.4.382 · Cited by 13,962
Robins, L. N. (1981) · Archives of General Psychiatry · doi:10.1001/archpsyc.1981.01780290015001 · Cited by 5,219
Requirement of hippocampal neurogenesis for the behavioral effects of antidepressants
Santarelli, L., Saxe, M., Gross, C., Surget, A., Battaglia, F., Dulawa, S., Weisstaub, N., Lee, J., Duman, R., Arancio, O., et al. (2003) · Science · doi:10.1126/science.1083328 · Cited by 4,321
Chronic antidepressant treatment increases neurogenesis in adult rat hippocampus
Malberg, J. E., Eisch, A. J., Nestler, E. J., & Duman, R. S. (2000) · The Journal of Neuroscience · doi:10.1523/jneurosci.20-24-09104.2000 · Cited by 3,111
The Neuroendocrinology of Stress and Aging: The Glucocorticoid Cascade Hypothesis
Sapolsky, R. M., Krey, L. C., & McEwen, B. S. (1986) · Science of Aging Knowledge Environment · doi:10.1126/sageke.2002.38.cp21 · Cited by 2,343
Untreated Depression and Hippocampal Volume Loss
Sheline, Y. I., Gado, M. H., & Kraemer, H. C. (2003) · American Journal of Psychiatry · doi:10.1176/appi.ajp.160.8.1516 · Cited by 1,180
Medial temporal atrophy on MRI in normal aging and very mild Alzheimer's disease
Jack, C. R., Petersen, R. C., Xu, Y. C., Waring, S. C., O'Brien, P. C., Tangalos, E. G., Smith, G. E., Ivnik, R. J., & Kokmen, E. (1997) · Neurology · doi:10.1212/wnl.49.3.786 · Cited by 1,128
Rates of hippocampal atrophy correlate with change in clinical status in aging and AD
Jack, C. R., Petersen, R. C., Xu, Y., O’Brien, P. C., Smith, G. E., Ivnik, R. J., Boeve, B. F., Tangalos, E. G., & Kokmen, E. (2000) · Neurology · doi:10.1212/wnl.55.4.484 · Cited by 937
The vascular depression hypothesis: mechanisms linking vascular disease with depression
Taylor, W. D., Aizenstein, H. J., & Alexopoulos, G. S. (2013) · Molecular Psychiatry · doi:10.1038/mp.2013.20 · Cited by 923
Self-citation
Cited by
Sorted by citations
Belleau, E. L., Treadway, M. T., & Pizzagalli, D. A. (2019) · Biological Psychiatry · doi:10.1016/j.biopsych.2018.09.031 · Cited by 550
Dendritic Spines in Depression: What We Learned from Animal Models
Qiao, H., Li, M.-X., Xu, C. S., Chen, H.-B., An, S.-C., & Ma, X. (2016) · Neural Plasticity · doi:10.1155/2016/8056370 · Cited by 463
10-year trajectories of depressive symptoms and risk of dementia: a population-based study
Mirza, S. S., Wolters, F. J., Swanson, S. A., Koudstaal, P. J., Hofman, A., Tiemeier, H., & Ikram, M. A. (2016) · The Lancet Psychiatry · doi:10.1016/s2215-0366(16)00097-3 · Cited by 385
Modifiable Risk Factors for Alzheimer’s Disease
Edwards III, G. A., Gamez, N., Escobedo Jr., G., Calderon, O., & Moreno-Gonzalez, I. (2019) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2019.00146 · Cited by 253
Schmaal, L., Pozzi, E., Ho, T. C., van Velzen, L. S., Veer, I. M., Opel, N., Someren, E. J. W. V., Han, L. K. M., Aftanas, L., Aleman, A., et al. (2020) · Translational Psychiatry · doi:10.1038/s41398-020-0842-6 · Cited by 261
Metadata
- Authors
- Taylor, W. D., McQuoid, D. R., Payne, M. E., Zannas, A. S., MacFall, J. R., & Steffens, D. C.
- Affiliations
- Vanderbilt University Medical Center (US)
- Duke Medical Center (US)
- UConn Health (US)
- Corresponding author
- Taylor, Warren D.
- Venue
- The American Journal of Geriatric Psychiatry
- Publisher
- Elsevier BV
- Published
- 2014-12
- Volume
- 22
- Issue
- 12
- Pages
- 1504-1512
- ISSN
- 1064-7481 (ISSN-L)
- PMC
- PMC4031313
- OpenAlex
- W2013004783
- Cited by
- 134
- References
- 56
- Citations by year
- 2026: 9 · 2025: 14 · 2024: 4 · 2023: 9 · 2022: 13 · 2021: 15 · 2020: 16 · 2019: 8 · 2018: 14 · 2017: 11 · 2016: 13 · 2015: 5 · 2014: 1
- FWCI
- 4.66
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- American Journal of Geriatric Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- NIMH (R01 MH077745, R01 MH054846, K24 MH070027, P50 MH60451)
- Topics
- Health Sciences › Medicine › Pharmacology (medical) › Treatment of Major Depression
- Life Sciences › Neuroscience › Behavioral Neuroscience › Stress Responses and Cortisol
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Keywords
- hippocampal atrophy, geriatric depression, dysthymia, remission, hippocampal volume, depression severity, longitudinal course, older adults, antidepressant response, Alzheimer's disease
- MeSH terms
- Aged, Aged, 80 and over, Antidepressive Agents, Atrophy, Depressive Disorder, Major, Major Depressive Disorder, Female, Hippocampus, Humans, Longitudinal Studies, Magnetic Resonance Imaging, Male, Middle Aged, Recurrence, Remission Induction, Severity of Illness Index, Disease Progression
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
