A Resting-State Brain Functional Network Study in MDD Based on Minimum Spanning Tree Analysis and the Hierarchical Clustering
المؤلفون المشاركون
Li, Mi
Zhong, Ning
Hu, Bin
Zhang, Lan
Yang, Jing
Feng, Lei
Ding, Zhijie
Li, Xiaowei
Jing, Zhuang
Zhu, Jing
Majoe, Dennis
المصدر
العدد
المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-11، 11ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2017-07-25
دولة النشر
مصر
عدد الصفحات
11
التخصصات الرئيسية
الملخص EN
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.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Li, Xiaowei& Jing, Zhuang& Hu, Bin& Zhu, Jing& Zhong, Ning& Li, Mi…[et al.]. 2017. A Resting-State Brain Functional Network Study in MDD Based on Minimum Spanning Tree Analysis and the Hierarchical Clustering. Complexity،Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1143728
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Li, Xiaowei…[et al.]. A Resting-State Brain Functional Network Study in MDD Based on Minimum Spanning Tree Analysis and the Hierarchical Clustering. Complexity No. 2017 (2017), pp.1-11.
https://search.emarefa.net/detail/BIM-1143728
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Li, Xiaowei& Jing, Zhuang& Hu, Bin& Zhu, Jing& Zhong, Ning& Li, Mi…[et al.]. A Resting-State Brain Functional Network Study in MDD Based on Minimum Spanning Tree Analysis and the Hierarchical Clustering. Complexity. 2017. Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1143728
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1143728
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر