Literature DB >> 20227249

Cortical thickness and voxel-based morphometry in depressed elderly.

P Cédric M P Koolschijn1, Neeltje E M van Haren, Hugo G Schnack, Joost Janssen, Hilleke E Hulshoff Pol, René S Kahn.   

Abstract

This is the first study to examine concurrently cortical thickness and voxel-based morphometric (VBM) abnormalities in patients with major depressive disorder (MDD). In the current study we set out to investigate depressed elderly patients to determine whether a previous depression is related to neurobiological abnormalities in older age. Cortical thickness measures and VBM were applied to the same magnetic resonance imaging data set of 28 female elderly subjects with MDD and 38 age-matched control subjects. Two principal findings emerge from this study. First, no effect of illness on cortical thickness or gray matter density measurements was found. Moreover, life time depression, severity of illness and the number of depressive episodes were not associated with neurobiological abnormalities in older age in our patient group. Second, a diffuse pattern of highly significant age effects was found in cortical thickness as well as in the VBM measurements in the same areas, irrespective of diagnosis. In contrast to most findings of the literature to date, the results from this study indicate that lifetime depression as well as current state does not seem to influence brain structure in depressed female elderly. 2010 Elsevier B.V. and ECNP. All rights reserved.

Entities:  

Mesh:

Year:  2010        PMID: 20227249     DOI: 10.1016/j.euroneuro.2010.02.010

Source DB:  PubMed          Journal:  Eur Neuropsychopharmacol        ISSN: 0924-977X            Impact factor:   4.600


  22 in total

1.  Pretreatment and early-treatment cortical thickness is associated with SSRI treatment response in major depressive disorder.

Authors:  Elizabeth A Bartlett; Christine DeLorenzo; Priya Sharma; Jie Yang; Mengru Zhang; Eva Petkova; Myrna Weissman; Patrick J McGrath; Maurizio Fava; R Todd Ogden; Benji T Kurian; Ashley Malchow; Crystal M Cooper; Joseph M Trombello; Melvin McInnis; Phillip Adams; Maria A Oquendo; Diego A Pizzagalli; Madhukar Trivedi; Ramin V Parsey
Journal:  Neuropsychopharmacology       Date:  2018-06-19       Impact factor: 7.853

2.  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

3.  Cortical thickness is not associated with current depression in a clinical treatment study.

Authors:  Greg Perlman; Elizabeth Bartlett; Christine DeLorenzo; Myrna Weissman; Patrick McGrath; Todd Ogden; Tony Jin; Phillip Adams; Madhukar Trivedi; Benji Kurian; Maria Oquendo; Melvin McInnis; Sarah Weyandt; Maurizio Fava; Crystal Cooper; Ashley Malchow; Ramin Parsey
Journal:  Hum Brain Mapp       Date:  2017-06-08       Impact factor: 5.038

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

Authors:  Hyun Kook Lim; Won Sang Jung; Kook Jin Ahn; Wang Youn Won; Changtae Hahn; Seung Yup Lee; Inseong Kim; Chang Uk Lee
Journal:  Neuropsychopharmacology       Date:  2011-11-02       Impact factor: 7.853

Review 5.  Structural neuroimaging of geriatric depression.

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

Review 6.  Current status and future perspectives of magnetic resonance high-field imaging: a summary.

Authors:  Vivek Prabhakaran; Veena A Nair; Benjamin P Austin; Christian La; Thomas A Gallagher; Yijing Wu; Donald G McLaren; Guofan Xu; Patrick Turski; Howard Rowley
Journal:  Neuroimaging Clin N Am       Date:  2012-05       Impact factor: 2.264

7.  5-HTTLPR, anxiety and gender interaction moderates right amygdala volume in healthy subjects.

Authors:  Antonio Cerasa; Aldo Quattrone; Fabrizio Piras; Graziella Mangone; Angela Magariello; Sabrina Fagioli; Paolo Girardi; Maria Muglia; Carlo Caltagirone; Gianfranco Spalletta
Journal:  Soc Cogn Affect Neurosci       Date:  2013-08-28       Impact factor: 3.436

8.  Associations between subclinical depressive symptoms and reduced brain volume in middle-aged to older adults.

Authors:  Sarah M Szymkowicz; Adam J Woods; Vonetta M Dotson; Eric C Porges; Nicole R Nissim; Andrew O'Shea; Ronald A Cohen; Natalie C Ebner
Journal:  Aging Ment Health       Date:  2018-01-30       Impact factor: 3.658

Review 9.  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

Review 10.  Computational meta-analysis of statistical parametric maps in major depression.

Authors:  Danilo Arnone; Dominic Job; Sudhakar Selvaraj; Osamu Abe; Francesco Amico; Yuqi Cheng; Sean J Colloby; John T O'Brien; Thomas Frodl; Ian H Gotlib; Byung-Joo Ham; M Justin Kim; P Cédric M P Koolschijn; Cintia A-M Périco; Giacomo Salvadore; Alan J Thomas; Marie-José Van Tol; Nic J A van der Wee; Dick J Veltman; Gerd Wagner; Andrew M McIntosh
Journal:  Hum Brain Mapp       Date:  2016-02-08       Impact factor: 5.038

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.