A resting-state brain functional network study in MDD based on minimum spanning tree analysis and the hierarchical clustering
type: Item
instance of: scholarly article
title: A resting-state brain functional network study in MDD based on minimum spanning tree analysis and the hierarchical clustering
zbMATH Open document ID: 1373.92064
DOI: 10.1155/2017/9514369
author: Zhuang Jing
author: Bin Hu
author: Jing Zhu
author: Ning Zhong
author: Mi Li
author: Zhijie Ding
author: Jing Yang
author: Lan Zhang
author: Lei Feng
author: Dennis Majoe
author: Xiaowei Li
published in: Complexity
publication date: 2017-10-26T00:00:00Z
review text: Summary: 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 are 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 are obtained. In the theta band, coherence analysis showed that the EEG coherence of the MDD patients is significantly higher than that of the healthy controls especially in the left temporal region. The MST results indicate the higher leaf fraction in the depressed group. Compared with the normal group, the major depressive patients lose clustering in frontal regions. Our findings suggest that there is a stronger brain interaction in the MDD group and a left-right functional imbalance in the frontal regions for MDD controls.
Mathematics Subject Classification ID: 92C50
Mathematics Subject Classification ID: 92C20
Mathematics Subject Classification ID: 62H30
zbMATH DE Number: 6798514
zbMATH Keywords: brain functional network
zbMATH Keywords: depression disease
zbMATH Keywords: resting-state electroencephalogram (EEG)
zbMATH Keywords: hierarchical clustering
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2017/9514369
OpenAlex ID: W2738999855
Wikidata QID: Q59142965
cites work: The saga of minimum spanning trees
cites work: On the shortest spanning subtree of a graph and the traveling salesman problem
description: scientific article; zbMATH DE number 6798514