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Alterations in white matter fractional anisotropy in subsyndromal perimenopausal depression
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 fr...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4355552/ https://www.ncbi.nlm.nih.gov/pubmed/25539808 http://dx.doi.org/10.1186/s12888-014-0367-8 |
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author | Wang, Xianglan Tao, Jiong Li, Lingjiang Zhong, Zhiyong Liu, Sha Jiang, Tianzi Zhang, Jinbei |
author_facet | Wang, Xianglan Tao, Jiong Li, Lingjiang Zhong, Zhiyong Liu, Sha Jiang, Tianzi Zhang, Jinbei |
author_sort | Wang, Xianglan |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-4355552 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-43555522015-03-12 Alterations in white matter fractional anisotropy in subsyndromal perimenopausal depression Wang, Xianglan Tao, Jiong Li, Lingjiang Zhong, Zhiyong Liu, Sha Jiang, Tianzi Zhang, Jinbei BMC Psychiatry Research Article 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. BioMed Central 2014-12-24 /pmc/articles/PMC4355552/ /pubmed/25539808 http://dx.doi.org/10.1186/s12888-014-0367-8 Text en © 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. |
spellingShingle | Research Article Wang, Xianglan Tao, Jiong Li, Lingjiang Zhong, Zhiyong Liu, Sha Jiang, Tianzi Zhang, Jinbei Alterations in white matter fractional anisotropy in subsyndromal perimenopausal depression |
title | Alterations in white matter fractional anisotropy in subsyndromal perimenopausal depression |
title_full | Alterations in white matter fractional anisotropy in subsyndromal perimenopausal depression |
title_fullStr | Alterations in white matter fractional anisotropy in subsyndromal perimenopausal depression |
title_full_unstemmed | Alterations in white matter fractional anisotropy in subsyndromal perimenopausal depression |
title_short | Alterations in white matter fractional anisotropy in subsyndromal perimenopausal depression |
title_sort | alterations in white matter fractional anisotropy in subsyndromal perimenopausal depression |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4355552/ https://www.ncbi.nlm.nih.gov/pubmed/25539808 http://dx.doi.org/10.1186/s12888-014-0367-8 |
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