|
1
|
Link segmentation entropy for measuring the network complexity. SOCIAL NETWORK ANALYSIS AND MINING 2022. [DOI: 10.1007/s13278-022-00918-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
|
|
2
|
Li G, Xu Y, Jiang Y, Jiao W, Xu W, Zhang J. Mental Fatigue Has Great Impact on the Fractal Dimension of Brain Functional Network. Neural Plast 2020; 2020:8825547. [PMID: 33273905 PMCID: PMC7676960 DOI: 10.1155/2020/8825547] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2020] [Revised: 10/16/2020] [Accepted: 10/25/2020] [Indexed: 11/30/2022] Open
Abstract
Mental fatigue has serious negative impacts on the brain cognitive functions and has been widely explored by the means of brain functional networks with the neuroimaging technique of electroencephalogram (EEG). Recently, several researchers reported that brain functional network constructed from EEG signals has fractal feature, raising an important question: what are the effects of mental fatigue on the fractal dimension of brain functional network? In the present study, the EEG data of alpha1 rhythm (8-10 Hz) at task state obtained by a mental fatigue model were chosen to construct brain functional networks. A modified greedy colouring algorithm was proposed for fractal dimension calculation in both binary and weighted brain functional networks. The results indicate that brain functional networks still maintain fractal structures even when the brain is at fatigue state; fractal dimension presented an increasing trend along with the deepening of mental fatigue fractal dimension of the weighted network was more sensitive to mental fatigue than that of binary network. Our current results suggested that mental fatigue has great regular impacts on the fractal dimension in both binary and weighted brain functional networks.
Collapse
Affiliation(s)
- Gang Li
- Key Laboratory of Urban Rail Transit Intelligent Operation and Maintenance Technology & Equipment of Zhejiang Provincial, Zhejiang Normal University, Zhejiang 321005, China
- College of Engineering, Zhejiang Normal University, Jinhua 321004, China
| | - Yanting Xu
- College of Engineering, Zhejiang Normal University, Jinhua 321004, China
| | - Yonghua Jiang
- Key Laboratory of Urban Rail Transit Intelligent Operation and Maintenance Technology & Equipment of Zhejiang Provincial, Zhejiang Normal University, Zhejiang 321005, China
- College of Engineering, Zhejiang Normal University, Jinhua 321004, China
- Xingzhi College, Zhejiang Normal University, Lanxi 321100, China
| | - Weidong Jiao
- Key Laboratory of Urban Rail Transit Intelligent Operation and Maintenance Technology & Equipment of Zhejiang Provincial, Zhejiang Normal University, Zhejiang 321005, China
- College of Engineering, Zhejiang Normal University, Jinhua 321004, China
| | - Wanxiu Xu
- Key Laboratory of Urban Rail Transit Intelligent Operation and Maintenance Technology & Equipment of Zhejiang Provincial, Zhejiang Normal University, Zhejiang 321005, China
- College of Engineering, Zhejiang Normal University, Jinhua 321004, China
| | - Jianhua Zhang
- Key Laboratory of High Efficiency and Clean Mechanical Manufacture, Ministry of Education of China, School of Mechanical Engineering, Shandong University, Jinan 250061, China
| |
Collapse
|
|
3
|
Fractal dimension undirected correlation graph-based support vector machine model for identification of focal and non-focal electroencephalography signals. Biomed Signal Process Control 2019. [DOI: 10.1016/j.bspc.2019.101611] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
|
|
4
|
Assessment of the effect of data length on the reliability of resting-state fNIRS connectivity measures and graph metrics. Biomed Signal Process Control 2019. [DOI: 10.1016/j.bspc.2019.101612] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
|