Brain network properties in depressed patients receiving seizure therapy: A graph theoretical analysis of peri-treatment resting EEG

2015 ◽  
Author(s):  
Zhi-De Deng ◽  
Shawn M. McClinctock ◽  
Sarah H. Lisanby
Keyword(s):  
Theoretical Analysis ◽  
Brain Network ◽  
Graph Theoretical Analysis ◽  
Depressed Patients ◽  
Network Properties

scholarly journals Alterations of brain network hubs in reflex syncope: Evidence from a graph theoretical analysis based on DTI

2018 ◽  
Vol 8 (6) ◽  
pp. e01006
Author(s):  
Bong Soo Park ◽  
Yoo Jin Lee ◽  
Jin-Han Park ◽  
Il Hwan Kim ◽  
Si Hyung Park ◽  
...  
Keyword(s):  
Theoretical Analysis ◽  
Brain Network ◽  
Graph Theoretical Analysis ◽  
Reflex Syncope

scholarly journals Impaired brain network architecture in Cushing’s disease based on graph theoretical analysis

Aging ◽  
2020 ◽  
Vol 12 (6) ◽  
pp. 5168-5182
Author(s):  
Can-Xin Xu ◽  
Hong Jiang ◽  
Rui-Zhe Zheng ◽  
Yu-Hao Sun ◽  
Qing-Fang Sun ◽  
...  
Keyword(s):  
Theoretical Analysis ◽  
Cushing’S Disease ◽  
Network Architecture ◽  
Brain Network ◽  
Cushing's Disease ◽  
Graph Theoretical Analysis

scholarly journals GAT-FD: An Integrated MATLAB Toolbox for Graph Theoretical Analysis of Task-Related Functional Dynamics

2021 ◽  
Author(s):  
Meng Cao ◽  
Ziyan Wu ◽  
Xiaobo Li
Keyword(s):  
Theoretical Analysis ◽  
Large Scale ◽  
Human Subjects ◽  
Functional Network ◽  
Normal Brain ◽  
Matlab Toolbox ◽  
Graph Theoretical Analysis ◽  
Link Type ◽  
Functional Dynamics ◽  
Network Properties

ABSTRACTFunctional connectivity (FC) has been demonstrated to be varying over time during sensory and cognitive processes. Quantitative examinations of such variations can significantly advance our understanding on large-scale functional organizations and their topological dynamics that support normal brain functional connectome and can be altered in individuals with brain disorders. However, toolboxes that integrate the complete functions for analyzing task-related brain FC, functional network topological properties, and their dynamics, are still lacking. The current study has developed a MATLAB toolbox, the Graph Theoretical Analysis of Task-Related Functional Dynamics (GAT-FD), which consists of four modules for sliding-window analyses, temporal mask generation, estimations of network properties and dynamics, and result display, respectively. All the involved functions have been tested and validated using fMRI data collected from human subjects when performing a block-designed task. The results demonstrated that the GAT-FD allows for effective and quantitative evaluations of the functional network properties and their dynamics during the task period. As an open-source and user-friendly package, the GAT-FD and its detailed user manual are freely available at https://www.nitrc.org/projects/gat_fd and https://centers.njit.edu/cnnl/gat_fd/.

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