Literature DB >> 24589068

Brain regions associated with risk and resistance for bipolar I disorder: a voxel-based MRI study of patients with bipolar disorder and their healthy siblings.

Cagdas Eker1, Fatma Simsek, Evrim Ebru Yılmazer, Omer Kitis, Cem Cinar, Ozlem Donat Eker, Kerry Coburn, Ali Saffet Gonul.   

Abstract

OBJECTIVE: Bipolar I disorder is a highly heritable disorder but not all siblings manifest with the illness, even though they may share similar genetic and environmental risk factors. Thus, sibling studies may help to identify brain structural endophenotypes associated with risk and resistance for the disorder.
METHODS: Structural magnetic resonance imaging (MRI) scans were acquired for 28 euthymic patients with bipolar disorder, their healthy siblings, and 30 unrelated healthy controls. Statistical Parametric Mapping 8 (SPM8) was used to identify group differences in regional gray matter volume by voxel-based morphometry (VBM).
RESULTS: Using analysis of covariance, gray matter analysis of the groups revealed a group effect indicating that the left orbitofrontal cortex [Brodmann area (BA) 11] was smaller in patients with bipolar disorder than in unrelated healthy controls [F = 14.83, p < 0.05 (family-wise error); 7 mm(3) ]. Paired t-tests indicated that the orbitofrontal cortex of patients with bipolar disorder [t = 5.19, p < 0.05 (family-wise error); 37 mm(3) ] and their healthy siblings [t = 3.89, p < 0.001 (uncorrected); 63 mm(3) ] was smaller than in unrelated healthy controls, and that the left dorsolateral prefrontal cortex was larger in healthy siblings than in patients with bipolar disorder [t = 4.28, p < 0.001 (uncorrected); 323 mm(3) ] and unrelated healthy controls [t = 4.36, p < 0.001 (uncorrected); 245 mm(3) ]. Additional region-of-interest analyses also found volume deficits in the right cerebellum of patients with bipolar disorder [t = 3.92, p < 0.001 (uncorrected); 178 mm(3) ] and their healthy siblings [t = 4.23, p < 0.001 (uncorrected); 489 mm(3) ], and in the left precentral gyrus of patients with bipolar disorder [t = 3.61, p < 0.001 (uncorrected); 115 mm(3) ] compared to unrelated healthy controls.
CONCLUSIONS: The results of this study suggest that a reduction in the volume of the orbitofrontal cortex, which plays a role in the automatic regulation of emotions and is a part of the medial prefrontal network, is associated with the heritability of bipolar disorder. Conversely, increased dorsolateral prefrontal cortex volume may be a neural marker of a resistance factor as it is part of a network of voluntary emotion regulation and balances the effects of the disrupted automatic emotion regulation system.
© 2014 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  bipolar disorder; dorsolateral prefrontal cortex; high risk; magnetic resonance imaging; orbitofrontal cortex; relatives; resistance; voxel based morphometry

Mesh:

Year:  2014        PMID: 24589068     DOI: 10.1111/bdi.12181

Source DB:  PubMed          Journal:  Bipolar Disord        ISSN: 1398-5647            Impact factor:   6.744


  15 in total

1.  Alterations of the cerebellum and basal ganglia in bipolar disorder mood states detected by quantitative T1ρ mapping.

Authors:  Casey P Johnson; Gary E Christensen; Jess G Fiedorowicz; Merry Mani; Joseph J Shaffer; Vincent A Magnotta; John A Wemmie
Journal:  Bipolar Disord       Date:  2018-01-07       Impact factor: 6.744

2.  Aberrant cerebellar connectivity in bipolar disorder with psychosis.

Authors:  Ann K Shinn; Youkyung S Roh; Caitlin T Ravichandran; Justin T Baker; Dost Öngür; Bruce M Cohen
Journal:  Biol Psychiatry Cogn Neurosci Neuroimaging       Date:  2017-07

3.  Consensus Paper: Cerebellum and Emotion.

Authors:  M Adamaszek; F D'Agata; R Ferrucci; C Habas; S Keulen; K C Kirkby; M Leggio; P Mariën; M Molinari; E Moulton; L Orsi; F Van Overwalle; C Papadelis; A Priori; B Sacchetti; D J Schutter; C Styliadis; J Verhoeven
Journal:  Cerebellum       Date:  2017-04       Impact factor: 3.847

4.  Lithium and GSK-3β promoter gene variants influence cortical gray matter volumes in bipolar disorder.

Authors:  Francesco Benedetti; Sara Poletti; Daniele Radaelli; Clara Locatelli; Adele Pirovano; Cristina Lorenzi; Benedetta Vai; Irene Bollettini; Andrea Falini; Enrico Smeraldi; Cristina Colombo
Journal:  Psychopharmacology (Berl)       Date:  2014-10-28       Impact factor: 4.530

5.  Relationships Between Altered Functional Magnetic Resonance Imaging Activation and Cortical Thickness in Patients With Euthymic Bipolar I Disorder.

Authors:  Shantanu H Joshi; Nathalie Vizueta; Lara Foland-Ross; Jennifer D Townsend; Susan Y Bookheimer; Paul M Thompson; Katherine L Narr; Lori L Altshuler
Journal:  Biol Psychiatry Cogn Neurosci Neuroimaging       Date:  2016-11

6.  Pattern recognition of magnetic resonance imaging-based gray matter volume measurements classifies bipolar disorder and major depressive disorder.

Authors:  Harry Rubin-Falcone; Francesca Zanderigo; Binod Thapa-Chhetry; Martin Lan; Jeffrey M Miller; M Elizabeth Sublette; Maria A Oquendo; David J Hellerstein; Patrick J McGrath; Johnathan W Stewart; J John Mann
Journal:  J Affect Disord       Date:  2017-11-13       Impact factor: 4.839

7.  Brain structural correlates of familial risk for mental illness: a meta-analysis of voxel-based morphometry studies in relatives of patients with psychotic or mood disorders.

Authors:  Wenjing Zhang; John A Sweeney; Li Yao; Siyi Li; Jiaxin Zeng; Mengyuan Xu; Maxwell J Tallman; Qiyong Gong; Melissa P DelBello; Su Lui; Fabiano G Nery
Journal:  Neuropsychopharmacology       Date:  2020-04-30       Impact factor: 7.853

8.  Dysregulation of miR-34a links neuronal development to genetic risk factors for bipolar disorder.

Authors:  S Bavamian; N Mellios; J Lalonde; D M Fass; J Wang; S D Sheridan; J M Madison; Fen Zhou; E H Rueckert; D Barker; R H Perlis; M Sur; S J Haggarty
Journal:  Mol Psychiatry       Date:  2015-01-27       Impact factor: 15.992

Review 9.  Neurobiology of Risk for Bipolar Disorder.

Authors:  Ayşegül Özerdem; Deniz Ceylan; Güneş Can
Journal:  Curr Treat Options Psychiatry       Date:  2016-10-20

Review 10.  Integrated neurobiology of bipolar disorder.

Authors:  Vladimir Maletic; Charles Raison
Journal:  Front Psychiatry       Date:  2014-08-25       Impact factor: 4.157

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