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Brain connectomic associations with traditional Chinese medicine diagnostic classification of major depressive disorder: a diffusion tensor imaging study
BACKGROUND: Major depressive disorder (MDD) is highly heterogeneous in pathogenesis and manifestations. Further classification may help characterize its heterogeneity. We previously have shown differential metabolomic profiles of traditional Chinese medicine (TCM) diagnostic subtypes of MDD. We furt...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6460788/ https://www.ncbi.nlm.nih.gov/pubmed/31044001 http://dx.doi.org/10.1186/s13020-019-0239-8 |
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author | Liu, Lan-Ying Xu, Xiao-Pei Luo, Li-Yuan Zhu, Chun-Qing Li, Ya-Ping Wang, Pei-Rong Zhang, Yuan-Yuan Yang, Chun-Yu Hou, Hong-Tao Cao, Yu-Lin Wang, Gang Hui, Edward S. Zhang, Zhang-Jin |
author_facet | Liu, Lan-Ying Xu, Xiao-Pei Luo, Li-Yuan Zhu, Chun-Qing Li, Ya-Ping Wang, Pei-Rong Zhang, Yuan-Yuan Yang, Chun-Yu Hou, Hong-Tao Cao, Yu-Lin Wang, Gang Hui, Edward S. Zhang, Zhang-Jin |
author_sort | Liu, Lan-Ying |
collection | PubMed |
description | BACKGROUND: Major depressive disorder (MDD) is highly heterogeneous in pathogenesis and manifestations. Further classification may help characterize its heterogeneity. We previously have shown differential metabolomic profiles of traditional Chinese medicine (TCM) diagnostic subtypes of MDD. We further determined brain connectomic associations with TCM subtypes of MDD. METHODS: In this naturalistic study, 44 medication-free patients with a recurrent depressive episode were classified into liver qi stagnation (LQS, n = 26) and Heart and Spleen Deficiency (HSD, n = 18) subtypes according to TCM diagnosis. Healthy subjects (n = 28) were included as controls. Whole-brain white matter connectivity was analyzed on diffusion tensor imaging. RESULTS: The LQS subtype showed significant differences in multiple network metrics of the angular gyrus, middle occipital gyrus, calcarine sulcus, and Heschl’s gyrus compared to the other two groups. The HSD subtype had markedly greater regional connectivity of the insula, parahippocampal gyrus, and posterior cingulate gyrus than the other two groups, and microstructural abnormalities of the frontal medial orbital gyrus and middle temporal pole. The insular betweenness centrality was strongly inversely correlated with the severity of depression and dichotomized the two subtypes at the optimal cutoff value with acceptable sensitivity and specificity. CONCLUSIONS: The LQS subtype is mainly characterized by aberrant connectivity of the audiovisual perception-related temporal-occipital network, whereas the HSD subtype is more closely associated with hyperconnectivity and microstructural abnormalities of the limbic-paralimbic network. Insular connectivity may serve a biomarker for TCM-based classification of depression. Trial registration Registered at http://www.clinicaltrials.gov (NCT02346682) on January 27, 2015 ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13020-019-0239-8) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6460788 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-64607882019-05-01 Brain connectomic associations with traditional Chinese medicine diagnostic classification of major depressive disorder: a diffusion tensor imaging study Liu, Lan-Ying Xu, Xiao-Pei Luo, Li-Yuan Zhu, Chun-Qing Li, Ya-Ping Wang, Pei-Rong Zhang, Yuan-Yuan Yang, Chun-Yu Hou, Hong-Tao Cao, Yu-Lin Wang, Gang Hui, Edward S. Zhang, Zhang-Jin Chin Med Research BACKGROUND: Major depressive disorder (MDD) is highly heterogeneous in pathogenesis and manifestations. Further classification may help characterize its heterogeneity. We previously have shown differential metabolomic profiles of traditional Chinese medicine (TCM) diagnostic subtypes of MDD. We further determined brain connectomic associations with TCM subtypes of MDD. METHODS: In this naturalistic study, 44 medication-free patients with a recurrent depressive episode were classified into liver qi stagnation (LQS, n = 26) and Heart and Spleen Deficiency (HSD, n = 18) subtypes according to TCM diagnosis. Healthy subjects (n = 28) were included as controls. Whole-brain white matter connectivity was analyzed on diffusion tensor imaging. RESULTS: The LQS subtype showed significant differences in multiple network metrics of the angular gyrus, middle occipital gyrus, calcarine sulcus, and Heschl’s gyrus compared to the other two groups. The HSD subtype had markedly greater regional connectivity of the insula, parahippocampal gyrus, and posterior cingulate gyrus than the other two groups, and microstructural abnormalities of the frontal medial orbital gyrus and middle temporal pole. The insular betweenness centrality was strongly inversely correlated with the severity of depression and dichotomized the two subtypes at the optimal cutoff value with acceptable sensitivity and specificity. CONCLUSIONS: The LQS subtype is mainly characterized by aberrant connectivity of the audiovisual perception-related temporal-occipital network, whereas the HSD subtype is more closely associated with hyperconnectivity and microstructural abnormalities of the limbic-paralimbic network. Insular connectivity may serve a biomarker for TCM-based classification of depression. Trial registration Registered at http://www.clinicaltrials.gov (NCT02346682) on January 27, 2015 ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13020-019-0239-8) contains supplementary material, which is available to authorized users. BioMed Central 2019-04-11 /pmc/articles/PMC6460788/ /pubmed/31044001 http://dx.doi.org/10.1186/s13020-019-0239-8 Text en © The Author(s) 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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 Liu, Lan-Ying Xu, Xiao-Pei Luo, Li-Yuan Zhu, Chun-Qing Li, Ya-Ping Wang, Pei-Rong Zhang, Yuan-Yuan Yang, Chun-Yu Hou, Hong-Tao Cao, Yu-Lin Wang, Gang Hui, Edward S. Zhang, Zhang-Jin Brain connectomic associations with traditional Chinese medicine diagnostic classification of major depressive disorder: a diffusion tensor imaging study |
title | Brain connectomic associations with traditional Chinese medicine diagnostic classification of major depressive disorder: a diffusion tensor imaging study |
title_full | Brain connectomic associations with traditional Chinese medicine diagnostic classification of major depressive disorder: a diffusion tensor imaging study |
title_fullStr | Brain connectomic associations with traditional Chinese medicine diagnostic classification of major depressive disorder: a diffusion tensor imaging study |
title_full_unstemmed | Brain connectomic associations with traditional Chinese medicine diagnostic classification of major depressive disorder: a diffusion tensor imaging study |
title_short | Brain connectomic associations with traditional Chinese medicine diagnostic classification of major depressive disorder: a diffusion tensor imaging study |
title_sort | brain connectomic associations with traditional chinese medicine diagnostic classification of major depressive disorder: a diffusion tensor imaging study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6460788/ https://www.ncbi.nlm.nih.gov/pubmed/31044001 http://dx.doi.org/10.1186/s13020-019-0239-8 |
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