Literature DB >> 20850136

Neuroanatomical and neuropsychological features of elderly euthymic depressed patients with early- and late-onset.

Christophe Delaloye1, Guenaël Moy, Fabienne de Bilbao, Sandra Baudois, Kerstin Weber, Françoise Hofer, Claire Ragno Paquier, Alessia Donati, Alessandra Canuto, Umberto Giardini, Armin von Gunten, Raluca Iona Stancu, François Lazeyras, Philippe Millet, Philip Scheltens, Panteleimon Giannakopoulos, Gabriel Gold.   

Abstract

BACKGROUND: Whether or not cognitive impairment and brain structure changes are trait characteristics of late-life depression is still disputed. Previous studies led to conflicting data possibly because of the difference in the age of depression onset. In fact, several lines of evidence suggest that late-onset depression (LOD) is more frequently associated with neuropsychological deficits and brain pathology than early-onset depression (EOD). To date, no study explored concomitantly the cognitive profile and brain magnetic resonance imaging (MRI) patterns in euthymic EOD and LOD patients.
METHOD: Using a cross-sectional design, 41 remitted outpatients (30 with EOD and 11 with LOD) were compared to 30 healthy controls. Neuropsychological evaluation concerned working memory, episodic memory, processing speed, naming capacity and executive functions. Volumetric estimates of the amygdala, hippocampus, entorhinal and anterior cingulate cortex were obtained using both voxel-based and region of interest morphometric methods. White matter hyperintensities were assessed semiquantitatively.
RESULTS: Both cognitive performance and brain volumes were preserved in euthymic EOD patients whereas LOD patients showed a significant reduction of episodic memory capacity and a higher rate of periventricular hyperintensities compared to both controls and EOD patients.
CONCLUSION: Our results support the dissociation between EOD thought to be mainly related to psychosocial factors and LOD that is characterized by increasing vascular burden and episodic memory decline.
Copyright © 2010 Elsevier B.V. All rights reserved.

Entities:  

Mesh:

Year:  2010        PMID: 20850136     DOI: 10.1016/j.jns.2010.08.046

Source DB:  PubMed          Journal:  J Neurol Sci        ISSN: 0022-510X            Impact factor:   3.181


  16 in total

Review 1.  Specifying the neuropsychology of affective disorders: clinical, demographic and neurobiological factors.

Authors:  Thomas Beblo; Grant Sinnamon; Bernhard T Baune
Journal:  Neuropsychol Rev       Date:  2011-06-10       Impact factor: 7.444

2.  Higher BDNF plasma levels are associated with a normalization of memory dysfunctions during an antidepressant treatment.

Authors:  Jan Engelmann; Stefanie Wagner; Daniel Wollschläger; Sabine Kaaden; Konrad F Schlicht; Nadine Dreimüller; Dieter F Braus; Marianne B Müller; Oliver Tüscher; Helge Frieling; André Tadić; Klaus Lieb
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2019-03-30       Impact factor: 5.270

3.  Organic bases of late-life depression: a critical update.

Authors:  Kurt A Jellinger
Journal:  J Neural Transm (Vienna)       Date:  2013-01-25       Impact factor: 3.575

4.  Frontal-executive and corticolimbic structural brain circuitry in older people with remitted depression, mild cognitive impairment, Alzheimer's dementia, and normal cognition.

Authors:  Benoit H Mulsant; Aristotle N Voineskos; Neda Rashidi-Ranjbar; Tarek K Rajji; Sanjeev Kumar; Nathan Herrmann; Linda Mah; Alastair J Flint; Corinne E Fischer; Meryl A Butters; Bruce G Pollock; Erin W Dickie; John A E Anderson
Journal:  Neuropsychopharmacology       Date:  2020-05-18       Impact factor: 7.853

5.  Baseline brain perfusion and brain structure in patients with major depression: a multimodal magnetic resonance imaging study.

Authors:  Nenad Vasic; Nadine D Wolf; Georg Grön; Zrinka Sosic-Vasic; Bernhard J Connemann; Fabio Sambataro; Anna von Strombeck; Dirk Lang; Stefanie Otte; Manuela Dudek; Robert C Wolf
Journal:  J Psychiatry Neurosci       Date:  2015-11       Impact factor: 6.186

Review 6.  Association of Microvascular Dysfunction With Late-Life Depression: A Systematic Review and Meta-analysis.

Authors:  Marnix J M van Agtmaal; Alfons J H M Houben; Frans Pouwer; Coen D A Stehouwer; Miranda T Schram
Journal:  JAMA Psychiatry       Date:  2017-07-01       Impact factor: 21.596

7.  Comparison of brain structural variables, neuropsychological factors, and treatment outcome in early-onset versus late-onset late-life depression.

Authors:  Brianne M Disabato; Carrie Morris; Jennifer Hranilovich; Gina M D'Angelo; Gongfu Zhou; Ningying Wu; P Murali Doraiswamy; Yvette I Sheline
Journal:  Am J Geriatr Psychiatry       Date:  2013-06-12       Impact factor: 4.105

Review 8.  Brain grey matter volume alterations in late-life depression.

Authors:  Mingying Du; Jia Liu; Ziqi Chen; Xiaoqi Huang; Jing Li; Weihong Kuang; Yanchun Yang; Wei Zhang; Dong Zhou; Feng Bi; Keith M Kendrick; Qiyong Gong
Journal:  J Psychiatry Neurosci       Date:  2014-11       Impact factor: 6.186

9.  Differential prefrontal and subcortical circuitry engagement during encoding of semantically related words in patients with late-life depression.

Authors:  Sara L Weisenbach; Michelle T Kassel; Julia Rao; Annie L Weldon; Erich T Avery; Emily M Briceno; Olusola Ajilore; Megan Mann; Helen C Kales; Robert C Welsh; Jon-Kar Zubieta; Scott A Langenecker
Journal:  Int J Geriatr Psychiatry       Date:  2014-06-20       Impact factor: 3.485

10.  Recent advances in neuroimaging biomarkers in geriatric psychiatry.

Authors:  Abhisek C Khandai; Howard J Aizenstein
Journal:  Curr Psychiatry Rep       Date:  2013-06       Impact factor: 5.285

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.