Literature DB >> 27574839

Microstructural Differences in the Corpus Callosum in Patients With Bipolar Disorder and Major Depressive Disorder.

Kiwamu Matsuoka1, Fumihiko Yasuno2,1,3, Toshifumi Kishimoto1, Akihide Yamamoto3, Kuniaki Kiuchi1, Jun Kosaka1, Kazuyuki Nagatsuka4, Hidehiro Iida3, Takashi Kudo5.   

Abstract

OBJECTIVE: It is difficult to distinguish between bipolar disorder and major depressive disorder (MDD) in patients lacking a clear history of mania. There is an urgent need for an objective biomarker for differential diagnosis. Using diffusion tensor imaging, this study investigated the differences in the brain white matter microstructure between patients with bipolar disorder and MDD.
METHODS: Participants included 16 patients with bipolar disorder and 23 patients with MDD having depressed or euthymic states based on DSM-IV-TR criteria and 23 healthy volunteers. Whole-brain voxel-based morphometric analysis was used to detect any significant differences in fractional anisotropy between patients with bipolar disorder and MDD. The study was conducted between August 2011 and July 2015.
RESULTS: We found a significant decrease in fractional anisotropy values in the anterior part of the corpus callosum in patients with bipolar disorder compared with MDD (P < .001), which did not depend on the patients' affective state. This decrease was associated with increased radial diffusivity values (P < .05), which was also found in patients with bipolar disorder when compared with healthy volunteers (P < .05). We predicted bipolar disorder and MDD in all patients using the fractional anisotropy values, with a correct classification rate of 76.9%.
CONCLUSIONS: The present study revealed that patients with bipolar disorder have microstructural abnormalities in the corpus callosum during depressed or euthymic states, which may deteriorate the exchange of emotional information between the cerebral hemispheres, resulting in emotional dysregulation. Our results indicate the possible use of diffusion tensor imaging as a differential diagnostic tool. © Copyright 2017 Physicians Postgraduate Press, Inc.

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Year:  2017        PMID: 27574839     DOI: 10.4088/JCP.15m09851

Source DB:  PubMed          Journal:  J Clin Psychiatry        ISSN: 0160-6689            Impact factor:   4.384


  10 in total

1.  Personality mediates the association between juvenile conduct problems and adulthood mood disorders.

Authors:  Jen-Hui Chan; Hsi-Chung Chen; I-Ming Chen; Tsung-Yang Wang; Yi-Ling Chien; Shu-I Wu; Po-Hsiu Kuo
Journal:  Sci Rep       Date:  2022-05-25       Impact factor: 4.996

2.  Interhemispheric functional disconnection because of abnormal corpus callosum integrity in bipolar disorder type II.

Authors:  Fumihiko Yasuno; Takashi Kudo; Kiwamu Matsuoka; Akihide Yamamoto; Masato Takahashi; Jyoji Nakagawara; Kazuyuki Nagatsuka; Hidehiro Iida; Toshifumi Kishimoto
Journal:  BJPsych Open       Date:  2016-11-01

Review 3.  Clinical Findings Documenting Cellular and Molecular Abnormalities of Glia in Depressive Disorders.

Authors:  Boldizsár Czéh; Szilvia A Nagy
Journal:  Front Mol Neurosci       Date:  2018-02-27       Impact factor: 5.639

Review 4.  Cortical Plasticity in Depression.

Authors:  Mariagiovanna Cantone; Alessia Bramanti; Giuseppe Lanza; Manuela Pennisi; Placido Bramanti; Giovanni Pennisi; Rita Bella
Journal:  ASN Neuro       Date:  2017 May-Jun       Impact factor: 4.146

5.  Automated classification of depression from structural brain measures across two independent community-based cohorts.

Authors:  Aleks Stolicyn; Mathew A Harris; Xueyi Shen; Miruna C Barbu; Mark J Adams; Emma L Hawkins; Laura de Nooij; Hon Wah Yeung; Alison D Murray; Stephen M Lawrie; J Douglas Steele; Andrew M McIntosh; Heather C Whalley
Journal:  Hum Brain Mapp       Date:  2020-06-19       Impact factor: 5.038

Review 6.  Understanding the Links among Maternal Diet, Myelination, and Depression: Preclinical and Clinical Overview.

Authors:  Irena Smaga
Journal:  Cells       Date:  2022-02-04       Impact factor: 6.600

7.  Interhemispheric disconnectivity in the sensorimotor network in bipolar disorder revealed by functional connectivity and diffusion tensor imaging analysis.

Authors:  Takuya Ishida; Tomohiro Donishi; Jun Iwatani; Shinichi Yamada; Shun Takahashi; Satoshi Ukai; Kazuhiro Shinosaki; Masaki Terada; Yoshiki Kaneoke
Journal:  Heliyon       Date:  2017-06-23

8.  Age-related white matter changes revealed by a whole-brain fiber-tracking method in bipolar disorder compared to major depressive disorder and healthy controls.

Authors:  Yoshikazu Masuda; Go Okada; Masahiro Takamura; Chiyo Shibasaki; Atsuo Yoshino; Satoshi Yokoyama; Naho Ichikawa; Shiho Okuhata; Tetsuo Kobayashi; Shigeto Yamawaki; Yasumasa Okamoto
Journal:  Psychiatry Clin Neurosci       Date:  2020-11-09       Impact factor: 5.188

9.  White matter abnormalities and cognitive function in euthymic patients with bipolar disorder and major depressive disorder.

Authors:  Yoshikazu Masuda; Go Okada; Masahiro Takamura; Chiyo Shibasaki; Atsuo Yoshino; Satoshi Yokoyama; Naho Ichikawa; Shiho Okuhata; Tetsuo Kobayashi; Shigeto Yamawaki; Yasumasa Okamoto
Journal:  Brain Behav       Date:  2020-10-03       Impact factor: 2.708

10.  Altered Visual Cortical Excitability Is Associated With Psychopathological Symptoms in Major Depressive Disorder.

Authors:  Hongheng Du; Xue Shen; Xiaoyan Du; Libo Zhao; Wenjun Zhou
Journal:  Front Psychiatry       Date:  2022-03-07       Impact factor: 4.157

  10 in total

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