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A Resting-State Brain Functional Network Study in MDD Based on Minimum Spanning Tree Analysis and the Hierarchical Clustering
Joint Authors
Li, Mi
Zhong, Ning
Hu, Bin
Zhang, Lan
Yang, Jing
Feng, Lei
Ding, Zhijie
Li, Xiaowei
Jing, Zhuang
Zhu, Jing
Majoe, Dennis
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-07-25
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract 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.
American Psychological Association (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
Modern Language Association (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
American Medical Association (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
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1143728