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Cited by 113Treatment of Major DepressionDementia and Cognitive Impairment ResearchNeural and Behavioral Psychology Studies

The DOI matches its Crossref record; 46 of the 47 references it cites were found in a registry or an index.

Pattern of brain atrophy in elderly patients with depression revealed by voxel-based morphometry

Egger, Karl, Schocke, Michael, Weiss, Elisabeth, Auffinger, Simone, Esterhammer, Regina, Goebel, Georg, Walch, Thomas, Mechtcheriakov, Sergei, Marksteiner, Josef·2008·Psychiatry Research Neuroimaging
DOI 10.1016/j.pscychresns.2007.12.018
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Abstract

In this study, we explored to what extent brain abnormalities can be identified in specific brain structures of patients suffering from late onset depression. We examined the structural difference in regional gray and white matter volume between 14 community-dwelling patients suffering from geriatric depression and 20 age-matched non-depressed normal subjects by voxel-based morphometry (VBM) based on magnetic resonance imaging. All subjects also underwent an extensive neuropsychological assessment. Compared with control subjects, patients with depression were impaired in measures of verbal and visual memory, construction, executive ability, and information-processing speed. VBM of gray matter revealed a significant decrease of volume in the right rostral hippocampus, in the right amygdala and in the medial orbito-frontal cortex (gyrus rectus) bilaterally. In the correlation analysis of gray matter volume with the score of the geriatric depression scale, we observed a negative correlation with the medial orbito-frontal cortex (gyrus rectus) bilaterally. There were no differences in white matter volumes between patients with depression and healthy control subjects. The most important limitation of this study was sample size. A larger sample size may have improved detection of changes not reaching significance. Furthermore, our results may not be generalizable across depression severity or to hospitalized patients. The findings are consistent with our hypothesis that depression in the elderly is associated with local gray matter dysfunction.

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Metadata

Authors
Egger, K., Schocke, M., Weiss, E., Auffinger, S., Esterhammer, R., Goebel, G., Walch, T., Mechtcheriakov, S., & Marksteiner, J.
Affiliations
  • Innsbruck Medical University (AT)
  • Klinikum Klagenfurt (AT)
Corresponding author
Marksteiner, Josef
ORCID
Venue
Psychiatry Research Neuroimaging
Publisher
Elsevier BV
Published
2008-12
Volume
164
Issue
3
Pages
237-244
ISSN
0925-4927 (ISSN-L)
DOI
10.1016/j.pscychresns.2007.12.018
OpenAlex
W2047189322
Cited by
113
References
47
Citations by year
2025: 3 · 2024: 5 · 2023: 3 · 2022: 7 · 2021: 4 · 2020: 5 · 2019: 8 · 2018: 3 · 2017: 4 · 2016: 6 · 2015: 9 · 2014: 9 · 2013: 15 · 2012: 13
FWCI
4.44
Type
journal article
Language
en
Open access
closed
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations
  • Psychiatry Research Neuroimaging (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Pharmacology (medical) › Treatment of Major Depression
  • Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
Keywords
geriatric depression, late-onset depression, brain atrophy, gray matter volume, white matter volume, hippocampus, amygdala, medial orbitofrontal cortex, cognitive impairment, executive function, memory impairment, voxel-based morphometry
MeSH terms
Aged, Aged, 80 and over, Amygdala, Atrophy, Brain, Cognition Disorders, Depression, Female, Hippocampus, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Neuropsychological Tests, Prefrontal Cortex

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