Cargando…
White Matter Abnormalities in Major Depression: A Tract-Based Spatial Statistics and Rumination Study
Increasing evidence indicates that major depressive disorder (MDD) is usually accompanied by altered white matter in the prefrontal cortex, the parietal lobe and the limbic system. As a behavioral abnormity of MDD, rumination has been believed to be a substantial indicator of the mental state of the...
Autores principales: | , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3364284/ https://www.ncbi.nlm.nih.gov/pubmed/22666366 http://dx.doi.org/10.1371/journal.pone.0037561 |
_version_ | 1782234522566262784 |
---|---|
author | Zuo, Nianming Fang, Jiliang Lv, Xueyu Zhou, Yuan Hong, Yang Li, Tao Tong, Haibing Wang, Xiaoling Wang, Weidong Jiang, Tianzi |
author_facet | Zuo, Nianming Fang, Jiliang Lv, Xueyu Zhou, Yuan Hong, Yang Li, Tao Tong, Haibing Wang, Xiaoling Wang, Weidong Jiang, Tianzi |
author_sort | Zuo, Nianming |
collection | PubMed |
description | Increasing evidence indicates that major depressive disorder (MDD) is usually accompanied by altered white matter in the prefrontal cortex, the parietal lobe and the limbic system. As a behavioral abnormity of MDD, rumination has been believed to be a substantial indicator of the mental state of the depressive state. So far, however, no report that we are aware of has evaluated the relationship between white matter alterations and the ruminative state. In this study, we first explored the altered white matter using a tract-based spatial statistics (TBSS) method based on diffusion tensor imaging of 19 healthy and 16 depressive subjects. We then investigated correlations between the altered white matter microstructure in the identified altered regions and the severity of ruminations measured by the ruminative response scale. Our results demonstrated altered white matter microstructure in circuits connecting the prefrontal lobe, the parietal lobe and the limbic system (p<0.005, uncorrected), findings which support previous research. More importantly, the result also indicated that a greater alteration in the white matter is associated with a more ruminative state (p<0.05, Bonferroni corrected). The detected abnormalities in the white matter should be interpreted cautiously because of the small sample size in this study. This finding supports the psychometric significance of white matter deficits in MDD. |
format | Online Article Text |
id | pubmed-3364284 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-33642842012-06-04 White Matter Abnormalities in Major Depression: A Tract-Based Spatial Statistics and Rumination Study Zuo, Nianming Fang, Jiliang Lv, Xueyu Zhou, Yuan Hong, Yang Li, Tao Tong, Haibing Wang, Xiaoling Wang, Weidong Jiang, Tianzi PLoS One Research Article Increasing evidence indicates that major depressive disorder (MDD) is usually accompanied by altered white matter in the prefrontal cortex, the parietal lobe and the limbic system. As a behavioral abnormity of MDD, rumination has been believed to be a substantial indicator of the mental state of the depressive state. So far, however, no report that we are aware of has evaluated the relationship between white matter alterations and the ruminative state. In this study, we first explored the altered white matter using a tract-based spatial statistics (TBSS) method based on diffusion tensor imaging of 19 healthy and 16 depressive subjects. We then investigated correlations between the altered white matter microstructure in the identified altered regions and the severity of ruminations measured by the ruminative response scale. Our results demonstrated altered white matter microstructure in circuits connecting the prefrontal lobe, the parietal lobe and the limbic system (p<0.005, uncorrected), findings which support previous research. More importantly, the result also indicated that a greater alteration in the white matter is associated with a more ruminative state (p<0.05, Bonferroni corrected). The detected abnormalities in the white matter should be interpreted cautiously because of the small sample size in this study. This finding supports the psychometric significance of white matter deficits in MDD. Public Library of Science 2012-05-30 /pmc/articles/PMC3364284/ /pubmed/22666366 http://dx.doi.org/10.1371/journal.pone.0037561 Text en Zuo et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Zuo, Nianming Fang, Jiliang Lv, Xueyu Zhou, Yuan Hong, Yang Li, Tao Tong, Haibing Wang, Xiaoling Wang, Weidong Jiang, Tianzi White Matter Abnormalities in Major Depression: A Tract-Based Spatial Statistics and Rumination Study |
title | White Matter Abnormalities in Major Depression: A Tract-Based Spatial Statistics and Rumination Study |
title_full | White Matter Abnormalities in Major Depression: A Tract-Based Spatial Statistics and Rumination Study |
title_fullStr | White Matter Abnormalities in Major Depression: A Tract-Based Spatial Statistics and Rumination Study |
title_full_unstemmed | White Matter Abnormalities in Major Depression: A Tract-Based Spatial Statistics and Rumination Study |
title_short | White Matter Abnormalities in Major Depression: A Tract-Based Spatial Statistics and Rumination Study |
title_sort | white matter abnormalities in major depression: a tract-based spatial statistics and rumination study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3364284/ https://www.ncbi.nlm.nih.gov/pubmed/22666366 http://dx.doi.org/10.1371/journal.pone.0037561 |
work_keys_str_mv | AT zuonianming whitematterabnormalitiesinmajordepressionatractbasedspatialstatisticsandruminationstudy AT fangjiliang whitematterabnormalitiesinmajordepressionatractbasedspatialstatisticsandruminationstudy AT lvxueyu whitematterabnormalitiesinmajordepressionatractbasedspatialstatisticsandruminationstudy AT zhouyuan whitematterabnormalitiesinmajordepressionatractbasedspatialstatisticsandruminationstudy AT hongyang whitematterabnormalitiesinmajordepressionatractbasedspatialstatisticsandruminationstudy AT litao whitematterabnormalitiesinmajordepressionatractbasedspatialstatisticsandruminationstudy AT tonghaibing whitematterabnormalitiesinmajordepressionatractbasedspatialstatisticsandruminationstudy AT wangxiaoling whitematterabnormalitiesinmajordepressionatractbasedspatialstatisticsandruminationstudy AT wangweidong whitematterabnormalitiesinmajordepressionatractbasedspatialstatisticsandruminationstudy AT jiangtianzi whitematterabnormalitiesinmajordepressionatractbasedspatialstatisticsandruminationstudy |