Literature DB >> 19013058

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

Karl Egger1, Michael Schocke, Elisabeth Weiss, Simone Auffinger, Regina Esterhammer, Georg Goebel, Thomas Walch, Sergei Mechtcheriakov, Josef Marksteiner.   

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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Year:  2008        PMID: 19013058     DOI: 10.1016/j.pscychresns.2007.12.018

Source DB:  PubMed          Journal:  Psychiatry Res        ISSN: 0165-1781            Impact factor:   3.222


  33 in total

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Authors:  R David Hayward; Amy D Owen; Harold G Koenig; David C Steffens; Martha E Payne
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Review 2.  Depression and cognitive impairment in older adults.

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3.  Regional cortical thickness and subcortical volume changes are associated with cognitive impairments in the drug-naive patients with late-onset depression.

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Review 4.  Epigenetics and psychoneuroimmunology: mechanisms and models.

Authors:  Herbert L Mathews; Linda Witek Janusek
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5.  Cortical Amyloid β Deposition and Current Depressive Symptoms in Alzheimer Disease and Mild Cognitive Impairment.

Authors:  Jun Ku Chung; Eric Plitman; Shinichiro Nakajima; M Mallar Chakravarty; Fernando Caravaggio; Philip Gerretsen; Yusuke Iwata; Ariel Graff-Guerrero
Journal:  J Geriatr Psychiatry Neurol       Date:  2015-09-23       Impact factor: 2.680

Review 6.  Structural neuroimaging of geriatric depression.

Authors:  Sophiya Benjamin; David C Steffens
Journal:  Psychiatr Clin North Am       Date:  2011-06

7.  Whiter matter abnormalities in medication-naive subjects with a single short-duration episode of major depressive disorder.

Authors:  Feng Wu; Yanqing Tang; Ke Xu; Lingtao Kong; Wenge Sun; Fei Wang; Dongyan Kong; Yanliang Li; Ying Liu
Journal:  Psychiatry Res       Date:  2010-12-10       Impact factor: 3.222

8.  Structural imaging in late-life depression: association with mood and cognitive responses to antidepressant treatment.

Authors:  Christopher M Marano; Clifford I Workman; Christopher H Lyman; Cynthia A Munro; Michael A Kraut; Gwenn S Smith
Journal:  Am J Geriatr Psychiatry       Date:  2013-10-05       Impact factor: 4.105

Review 9.  Towards automated detection of depression from brain structural magnetic resonance images.

Authors:  Kuryati Kipli; Abbas Z Kouzani; Lana J Williams
Journal:  Neuroradiology       Date:  2013-01-22       Impact factor: 2.804

10.  Imipramine treatment and resiliency exhibit similar chromatin regulation in the mouse nucleus accumbens in depression models.

Authors:  Matthew B Wilkinson; Guanghua Xiao; Arvind Kumar; Quincey LaPlant; William Renthal; Devanjan Sikder; Thomas J Kodadek; Eric J Nestler
Journal:  J Neurosci       Date:  2009-06-17       Impact factor: 6.167

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