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Changes of brain morphometry in first-episode, drug-naive, non-late-life adult patients with major depression: an optimized voxel-based morphometry study
Abstract
Background Previous structural imaging studies found evidence of brain morphometric changes in major depression (MD) patients, but they rarely excluded compounding effects of some important factors, such as medication and brain degeneration. This study sought to explore the brain morphometric changes of first-episode, drug-naïve, non-late-life adult MD patients with optimized voxel-based morphometry (VBM) method.Methods Twenty-three first-episode, drug-naïve, non-late-life adult depressed patients and 23 healthy control subjects were enrolled in this study. Subjects underwent high-resolution magnetic resonance imaging, and optimized VBM was performed to analyze the morphometric data. A partial correlation model was used to analyze associations of morphometric changes with Hamilton Depression Rating Scale scores and illness duration.Results Depressed patients showed significant gray matter volume reduction in the bilateral limbic system, especially in hippocampus. These changes did not significantly correlate with symptom severity or illness duration.Conclusions Our findings provided new evidence of gray matter deficits in first-episode, drug-naïve, non-late-life adult MD patients. It supported that the reduction of hippocampal volume is a trait for MD patients and further highlighted the important role of the limbic system, particularly hippocampus in the pathophysiology of MD.
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“While the lack of correlation in our study replicates previous studies that found the same (McKinnon et al., 2009; Zou et al., 2010), a significant association between GM volume and depression severity has also been previously reported (Chen et al., 2007; Cheng et al., 2010).”
From Widespread reductions in gray matter volume in depression (2013) · cites this paper as Zou et al., 2010
In the citing paper
“Brain imaging studies have suggested that MDD may be associated with decreased volumes of various brain regions [58–60].”
From Preclinical and Clinical Evidence of Antioxidant Effects of Antidepressant Agents: Implications for the Pathophysiology of Major Depressive Disorder (2012) · cites this paper as [59]
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Cites
Influence of life stress on depression: moderation by a polymorphism in the 5-HTT gene
Caspi, A., Sugden, K., Moffitt, T. E., Taylor, A., Craig, I. W., Harrington, H., McClay, J., Mill, J., Martin, J., Braithwaite, A., et al. (2003) · Science · doi:10.1126/science.1083968 · Cited by 8,120
A Voxel-Based Morphometric Study of Ageing in 465 Normal Adult Human Brains
Good, C. D., Johnsrude, I. S., Ashburner, J., Henson, R. N. A., Friston, K. J., & Frackowiak, R. S. J. (2001) · NeuroImage · doi:10.1006/nimg.2001.0786 · Cited by 4,561
Mayberg, H. S., Liotti, M., Brannan, S. K., McGinnis, S., Mahurin, R. K., Jerabek, P. A., Silva, J. A., Tekell, J. L., Martin, C. C., Lancaster, J. L., et al. (1999) · American Journal of Psychiatry · doi:10.1176/ajp.156.5.675 · Cited by 2,416
Hippocampal Volume Reduction in Major Depression
Bremner, J. D., Narayan, M., Anderson, E. R., Staib, L. H., Miller, H. L., & Charney, D. S. (2000) · American Journal of Psychiatry · doi:10.1176/ajp.157.1.115 · Cited by 1,670
Cellular changes in the postmortem hippocampus in major depression
Stockmeier, C. A., Mahajan, G. J., Konick, L. C., Overholser, J. C., Jurjus, G. J., Meltzer, H. Y., Uylings, H. B. M., Friedman, L., & Rajkowska, G. (2004) · Biological Psychiatry · doi:10.1016/j.biopsych.2004.08.022 · Cited by 732
Functional anatomical abnormalities in limbic and prefrontal cortical structures in major depression
Drevets, W. C. (2000) · Progress in Brain Research · doi:10.1016/s0079-6123(00)26027-5 · Cited by 659
Ballmaier, M., Toga, A. W., Blanton, R. E., Sowell, E. R., Lavretsky, H., Peterson, J. R., Pham, D. L., & Kumar, A. (2004) · American Journal of Psychiatry · doi:10.1176/appi.ajp.161.1.99 · Cited by 387
Bell-McGinty, S., Butters, M. A., Meltzer, C. C., Greer, P. J., Reynolds, C. F., & Becker, J. T. (2002) · American Journal of Psychiatry · doi:10.1176/appi.ajp.159.8.1424 · Cited by 338
Neumeister, A., Wood, S. E., Bonne, O. B., Nugent, A. C., Luckenbaugh, D. A., Young, T. A., Bain, E., Charney, D. S., & Drevets, W. C. (2005) · Biological Psychiatry · doi:10.1016/j.biopsych.2005.01.016 · Cited by 285
Vasić, N., Walter, H., Höse, A., & Wolf, R. C. (2008) · Journal of Affective Disorders · doi:10.1016/j.jad.2007.11.011 · Cited by 215
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Metadata
- Authors
- Zou, K., Deng, W., Li, T., Zhang, B., Jiang, L., Huang, C., Sun, X., & Sun, X.
- Affiliations
- Sichuan University (CN)
- Corresponding author
- Sun, Xueli
- Venue
- Biological Psychiatry
- Publisher
- Elsevier BV
- Published
- 2010-01
- Volume
- 67
- Issue
- 2
- Pages
- 186-188
- ISSN
- 0006-3223 (ISSN-L)
- OpenAlex
- W1994228560
- Cited by
- 141
- References
- 18
- Citations by year
- 2026: 2 · 2025: 3 · 2024: 2 · 2023: 5 · 2022: 4 · 2021: 28 · 2020: 3 · 2019: 6 · 2018: 8 · 2017: 9 · 2016: 10 · 2015: 7 · 2014: 13 · 2013: 4 · 2012: 16
- FWCI
- 8.90
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Biological Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Pharmacology (medical) › Treatment of Major Depression
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Behavioral Neuroscience › Stress Responses and Cortisol
- Keywords
- major depressive disorder, first-episode depression, drug-naive patients, gray matter volume, hippocampus, limbic system, brain morphometry, hippocampal volume reduction, depression pathophysiology, disease duration, symptom severity
- MeSH terms
- Adolescent, Adult, Brain, Brain Mapping, Depressive Disorder, Major, Major Depressive Disorder, Female, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male, Middle Aged, Psychiatric Status Rating Scales, Case-Control Studies, Young Adult
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