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      Alterations in white matter fractional anisotropy in subsyndromal perimenopausal depression

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          Abstract

          Background

          Subsyndromal depression (SSD) is considered as a predictor for future depressive disorders, however whether white matter abnormalities are involved in the high-susceptibility of women to depressive disorders during perimenopause is unknown. The purpose of this study was to investigate fractional anisotropy (FA) in the white matter of the whole brain in perimenopausal women with SSD using diffusion tensor imaging (DTI).

          Methods

          In a cross-sectional study, 24 perimenopausal women with SSD and 24 other age-, education-, and body mass index-matched healthy women underwent DTI. A voxel-based analysis was used to elucidate regional FA changes at a voxel threshold of p < 0.001 with an extent threshold of k > 127 voxels ( p < 0.05, AlphaSim correction). Subsequently, correlation analyses were performed between mean FA values in significant brain regions and plasma estradiol level.

          Results

          Compared to healthy controls, women with SSD exhibited significantly lower FA values in the left insula, while higher FA values were observed in the left ventral lateral thalamus and left and right brainstem in the midbrain. In subjects with SSD, the mean FA value in the left insula was positively correlated to plasma estradiol levels ( r = 0.453, p = 0.026) (uncorrected).

          Conclusions

          Our findings indicate altered microstructures in white matter of the insula and subcortical regions may be associated with the high susceptibility of perimenopausal women to depressive disorders. Estrogen may modulate the white matter microstructure of the insula.

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          Most cited references43

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          Major depressive disorder.

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            Major depressive disorder: new clinical, neurobiological, and treatment perspectives.

            In this Seminar we discuss developments from the past 5 years in the diagnosis, neurobiology, and treatment of major depressive disorder. For diagnosis, psychiatric and medical comorbidity have been emphasised as important factors in improving the appropriate assessment and management of depression. Advances in neurobiology have also increased, and we aim to indicate genetic, molecular, and neuroimaging studies that are relevant for assessment and treatment selection of this disorder. Further studies of depression-specific psychotherapies, the continued application of antidepressants, the development of new treatment compounds, and the status of new somatic treatments are also discussed. We address two treatment-related issues: suicide risk with selective serotonin reuptake inhibitors, and the safety of antidepressants in pregnancy. Although clear advances have been made, no fully satisfactory treatments for major depression are available. Copyright © 2012 Elsevier Ltd. All rights reserved.
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              Self-rating depression scale in an outpatient clinic. Further validation of the SDS.

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                Author and article information

                Contributors
                wxl0372@126.com
                tj2023@163.com
                llj2920@163.com
                89.534.72@163.com
                shaliu_gzbh@126.com
                tianzi_jiang2014@163.com
                gzpsycho@126.com
                Journal
                BMC Psychiatry
                BMC Psychiatry
                BMC Psychiatry
                BioMed Central (London )
                1471-244X
                24 December 2014
                24 December 2014
                2014
                : 14
                : 367
                Affiliations
                [ ]Mental Health Institute of the Second Xiangya Hospital, National Technology Institute of Psychiatry, Key Laboratory of Psychiatry and Mental Health of Hunan Province, Central South University, Changsha, 410011 China
                [ ]Department of Psychiatry, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510630 China
                [ ]Shenzhen Kangning Hospital of Guangdong Province, Shenzhen, 518003 China
                [ ]Department of Radiology, Guangzhou Brain Hospital, Guangzhou, 510370 China
                [ ]Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190 China
                [ ]National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190 China
                [ ]Queensland Brain Institute, University of Queensland, Brisbane, Queensland 4072 Australia
                [ ]Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 610054 China
                Article
                367
                10.1186/s12888-014-0367-8
                4355552
                25539808
                d87a4cc6-f7f3-4736-b667-e7528662fe3d
                © Wang et al.; licensee BioMed Central. 2014

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 27 July 2014
                : 17 December 2014
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2014

                Clinical Psychology & Psychiatry
                white matter,fractional anisotropy,estrogen,perimenopause,depressive disorders

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