A Resting-State Brain Functional Network Study in MDD Based on Minimum Spanning Tree Analysis and the Hierarchical Clustering
العنوان: | A Resting-State Brain Functional Network Study in MDD Based on Minimum Spanning Tree Analysis and the Hierarchical Clustering |
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المؤلفون: | Zhijie Ding, Mi Li, Ning Zhong, Xiaowei Li, Lan Zhang, Jing Zhu, Bin Hu, Lei Feng, Jing Yang, Dennis Majoe, Zhuang Jing |
المصدر: | Complexity, Vol 2017 (2017) Complexity, 2017 |
بيانات النشر: | Hindawi-Wiley, 2017. |
سنة النشر: | 2017 |
مصطلحات موضوعية: | Multidisciplinary, Article Subject, General Computer Science, medicine.diagnostic_test, Resting state fMRI, 05 social sciences, Coherence (statistics), Electroencephalography, Biology, Minimum spanning tree, medicine.disease, 050105 experimental psychology, lcsh:QA75.5-76.95, Hierarchical clustering, Functional networks, 03 medical and health sciences, 0302 clinical medicine, medicine, Major depressive disorder, 0501 psychology and cognitive sciences, lcsh:Electronic computers. Computer science, Cluster analysis, Neuroscience, 030217 neurology & neurosurgery |
الوصف: | A large number of studies demonstrated that major depressive disorder (MDD) is characterized by the alterations in brain functional connections which is also identifiable during the brain’s “resting-state.” But, in the present study, the approach of constructing functional connectivity is often biased by the choice of the threshold. Besides, more attention was paid to the number and length of links in brain networks, and the clustering partitioning of nodes was unclear. Therefore, minimum spanning tree (MST) analysis and the hierarchical clustering were first used for the depression disease in this study. Resting-state electroencephalogram (EEG) sources were assessed from 15 healthy and 23 major depressive subjects. Then the coherence, MST, and the hierarchical clustering were obtained. In the theta band, coherence analysis showed that the EEG coherence of the MDD patients was significantly higher than that of the healthy controls especially in the left temporal region. The MST results indicated the higher leaf fraction in the depressed group. Compared with the normal group, the major depressive patients lost clustering in frontal regions. Our findings suggested that there was a stronger brain interaction in the MDD group and a left-right functional imbalance in the frontal regions for MDD controls. Complexity, 2017 ISSN:1076-2787 ISSN:1099-0526 |
وصف الملف: | application/application/pdf; text/xhtml |
اللغة: | English |
تدمد: | 1099-0526 1076-2787 |
الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::569a226b7cedc062e5f336f32a9f9f6cTest https://doaj.org/article/075f0fd5e50d45b69e8cbd18b76be3d7Test |
حقوق: | OPEN |
رقم الانضمام: | edsair.doi.dedup.....569a226b7cedc062e5f336f32a9f9f6c |
قاعدة البيانات: | OpenAIRE |
تدمد: | 10990526 10762787 |
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