Literature DB >> 26254541

Volume and shape analysis of subcortical brain structures and ventricles in euthymic bipolar I disorder.

Stephen J Quigley1, Cathy Scanlon1, Liam Kilmartin2, Louise Emsell3, Camilla Langan1, Brian Hallahan1, Michael Murray1, Conor Waters1, Mairead Waldron1, Sarah Hehir1, Helen Casey1, Emma McDermott1, Jason Ridge1, Joanne Kenney1, Stefani O'Donoghue1, Rory Nannery1, Srinath Ambati1, Peter McCarthy1, Gareth J Barker4, Dara M Cannon1, Colm McDonald5.   

Abstract

Previous structural magnetic resonance imaging (S-MRI) studies of bipolar disorder have reported variable morphological changes in subcortical brain structures and ventricles. This study aimed to establish trait-related subcortical volumetric and shape abnormalities in a large, homogeneous sample of prospectively confirmed euthymic bipolar I disorder (BD-I) patients (n=60), compared with healthy volunteers (n=60). Participants were individually matched for age and gender. Volume and shape metrics were derived from manually segmented S-MR images for the hippocampus, amygdala, caudate nucleus, and lateral ventricles. Group differences were analysed, controlling for age, gender and intracranial volume. BD-I patients displayed significantly smaller left hippocampal volumes and significantly larger left lateral ventricle volumes compared with controls. Shape analysis revealed an area of contraction in the anterior head and medial border of the left hippocampus, as well as expansion in the right hippocampal tail medially, in patients compared with controls. There were no significant associations between volume or shape variation and lithium status or duration of use. A reduction in the head of the left hippocampus in BD-I patients is interesting, given this region's link to verbal memory. Shape analysis of lateral ventricular changes in patients indicated that these are not regionally specific.
Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Amygdala; Bipolar disorder; Caudate nucleus; Hippocampus; Magnetic resonance imaging

Mesh:

Substances:

Year:  2015        PMID: 26254541     DOI: 10.1016/j.pscychresns.2015.05.012

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


  8 in total

1.  Brain grey-matter volume alteration in adult patients with bipolar disorder under different conditions: a voxel-based meta-analysis

Authors:  Xiuli Wang; Qiang Luo; Fangfang Tian; Bochao Cheng; Lihua Qiu; Song Wang; Manxi He; Hongming Wang; Mingjun Duan; Zhiyun Jia
Journal:  J Psychiatry Neurosci       Date:  2019-03-01       Impact factor: 6.186

2.  Brain Structure and Function in Women with Comorbid Bipolar and Premenstrual Dysphoric Disorder.

Authors:  Sabrina K Syan; Luciano Minuzzi; Mara Smith; Dustin Costescu; Olivia R Allega; Geoffrey B C Hall; Benicio N Frey
Journal:  Front Psychiatry       Date:  2018-01-10       Impact factor: 4.157

3.  A population study of Norwegian psychiatric patients referred for clinical brain scanning.

Authors:  Mona K Beyer; Turi O Dalaker; Ole J Greve; Siv E Pignatiello; Ingrid Agartz
Journal:  BJPsych Open       Date:  2018-05-08

4.  Modified distance regularized level set evolution for brain ventricles segmentation.

Authors:  Thirumagal Jayaraman; Sravan Reddy M; Manjunatha Mahadevappa; Anup Sadhu; Pranab Kumar Dutta
Journal:  Vis Comput Ind Biomed Art       Date:  2020-12-07

5.  Subcortical neuromorphometry in schizophrenia spectrum and bipolar disorders.

Authors:  Daniel Mamah; Kathryn I Alpert; Deanna M Barch; John G Csernansky; Lei Wang
Journal:  Neuroimage Clin       Date:  2016-02-23       Impact factor: 4.881

6.  Prospective longitudinal study of subcortical brain volumes in individuals at high familial risk of mood disorders with or without subsequent onset of depression.

Authors:  Martina Papmeyer; Jessika E Sussmann; Tiffany Stewart; Stephen Giles; John G Centola; Vasileios Zannias; Stephen M Lawrie; Heather C Whalley; Andrew M McIntosh
Journal:  Psychiatry Res Neuroimaging       Date:  2015-12-31       Impact factor: 2.376

7.  The Staging of Major Mood Disorders: Clinical and Neurobiological Correlates.

Authors:  Ather Muneer; Rana Mazommil
Journal:  Psychiatry Investig       Date:  2018-08-20       Impact factor: 2.505

8.  Does single gene expression omnibus data mining analysis apply for only tumors and not mental illness? A preliminary study on bipolar disorder based on bioinformatics methodology.

Authors:  Xu You; Yunqiao Zhang; Qing Long; Zijun Liu; Ziqiao Feng; Wengyu Zhang; Zhaowei Teng; Yong Zeng
Journal:  Medicine (Baltimore)       Date:  2020-08-28       Impact factor: 1.817

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.