Literature DB >> 26555494

Gray matter volume abnormalities were associated with sustained attention in unmedicated major depression.

Xiao Yang1, Xiaojuan Ma2, Bin Huang3, Guizhi Sun4, Liansheng Zhao1, Dongtao Lin5, Wei Deng1, Tao Li1, Xiaohong Ma6.   

Abstract

BACKGROUND: Impaired sustained attention seems to be a core feature of depression while the anatomical alteration of brain was widely reported in depression patients. The authors aimed to identify the relationship between anatomical brain changes and sustained attention deficits in unmedicated patients with major depressive disorder (MDD).
METHODS: A total of 51 medication-free MDD patients and 51 matched healthy controls (HC) underwent high-resolution structural magnetic resonance imaging scanning, and optimized voxel-based morphometry method was performed to analyze the changes of gray matter volume (GMV). We employed a computerized neurocognitive task from the Cambridge Neuropsychological Tests Automated Battery (CANTAB)--Rapid Visual Information Processing (RVP) task--as a measurement of sustained attention. Based on clinical symptoms, 40 patients who had completed CANTAB-RVP test were divided into MDDa (mild depression patients) and MDDb (severe depression patients) groups. Then the relationships among sustained attention, GMV of different regions and clinical symptoms were explored separately.
RESULTS: MDD patients showed significant GMV increase in left posterior cingulate cortex (PCC) and inferior frontal gyrus (IFG) (p<0.001, uncorrected), and significant GMV decrease in medial/superior frontal gyrus (MFG/SFG) and lingual gyrus (p<0.001, uncorrected). Structure-cognition correlation analyses revealed that in MDD patients, GMV alterations of the IFG were significantly correlated with sustained attention as measured by the CANTAB-RVP.
CONCLUSIONS: Increased GMV values of IFG were associated with sustained attention which may underlie the pathophysiology of MDD or be part of the cognition circuit. In the severe depression patients, sustained attention deficits were positively correlated with clinical symptoms.
Copyright © 2015 Elsevier Inc. All rights reserved.

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Year:  2015        PMID: 26555494     DOI: 10.1016/j.comppsych.2015.09.003

Source DB:  PubMed          Journal:  Compr Psychiatry        ISSN: 0010-440X            Impact factor:   3.735


  10 in total

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3.  Influence of FKBP5 polymorphism and DNA methylation on structural changes of the brain in major depressive disorder.

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Journal:  Sci Rep       Date:  2017-02-15       Impact factor: 4.379

4.  Disorder-Specific and Shared Brain Abnormalities During Vigilance in Autism and Obsessive-Compulsive Disorder.

Authors:  Christina O Carlisi; Luke Norman; Clodagh M Murphy; Anastasia Christakou; Kaylita Chantiluke; Vincent Giampietro; Andrew Simmons; Michael Brammer; Declan G Murphy; David Mataix-Cols; Katya Rubia
Journal:  Biol Psychiatry Cogn Neurosci Neuroimaging       Date:  2017-11

5.  Structural alterations within cerebellar circuitry are associated with general liability for common mental disorders.

Authors:  A L Romer; A R Knodt; R Houts; B D Brigidi; T E Moffitt; A Caspi; A R Hariri
Journal:  Mol Psychiatry       Date:  2017-04-11       Impact factor: 15.992

6.  Voxel-based meta-analysis of gray and white matter volume abnormalities in spinocerebellar ataxia type 2.

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Journal:  Brain Behav       Date:  2018-08-20       Impact factor: 2.708

7.  Profound and reproducible patterns of reduced regional gray matter characterize major depressive disorder.

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8.  Salience Network and Depressive Severities in Parkinson's Disease with Mild Cognitive Impairment: A Structural Covariance Network Analysis.

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Review 9.  A Comparison of Neuroimaging Abnormalities in Multiple Sclerosis, Major Depression and Chronic Fatigue Syndrome (Myalgic Encephalomyelitis): is There a Common Cause?

Authors:  Gerwyn Morris; Michael Berk; Basant K Puri
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10.  Altered gray matter volumes in post-stroke depressive patients after subcortical stroke.

Authors:  Wenjun Hong; Zhiyong Zhao; Dongmei Wang; Ming Li; Chaozheng Tang; Zheng Li; Rong Xu; Chetwyn C H Chan
Journal:  Neuroimage Clin       Date:  2020-02-20       Impact factor: 4.881

  10 in total

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