Abnormal EEG Complexity and Functional Connectivity of Brain in Patients with Acute Thalamic Ischemic Stroke
Joint Authors
Ming, Dong
Liu, Shuang
Guo, Jie
Meng, Jiayuan
Wang, Zhijun
Yao, Yang
Yang, Jiajia
Qi, Hongzhi
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-06-14
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Ischemic thalamus stroke has become a serious cardiovascular and cerebral disease in recent years.
To date the existing researches mostly concentrated on the power spectral density (PSD) in several frequency bands.
In this paper, we investigated the nonlinear features of EEG and brain functional connectivity in patients with acute thalamic ischemic stroke and healthy subjects.
Electroencephalography (EEG) in resting condition with eyes closed was recorded for 12 stroke patients and 11 healthy subjects as control group.
Lempel-Ziv complexity (LZC), Sample Entropy (SampEn), and brain network using partial directed coherence (PDC) were calculated for feature extraction.
Results showed that patients had increased mean LZC and SampEn than the controls, which implied the stroke group has higher EEG complexity.
For the brain network, the stroke group displayed a trend of weaker cortical connectivity, which suggests a functional impairment of information transmission in cortical connections in stroke patients.
These findings suggest that nonlinear analysis and brain network could provide essential information for better understanding the brain dysfunction in the stroke and assisting monitoring or prognostication of stroke evolution.
American Psychological Association (APA)
Liu, Shuang& Guo, Jie& Meng, Jiayuan& Wang, Zhijun& Yao, Yang& Yang, Jiajia…[et al.]. 2016. Abnormal EEG Complexity and Functional Connectivity of Brain in Patients with Acute Thalamic Ischemic Stroke. Computational and Mathematical Methods in Medicine،Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1100085
Modern Language Association (MLA)
Liu, Shuang…[et al.]. Abnormal EEG Complexity and Functional Connectivity of Brain in Patients with Acute Thalamic Ischemic Stroke. Computational and Mathematical Methods in Medicine No. 2016 (2016), pp.1-9.
https://search.emarefa.net/detail/BIM-1100085
American Medical Association (AMA)
Liu, Shuang& Guo, Jie& Meng, Jiayuan& Wang, Zhijun& Yao, Yang& Yang, Jiajia…[et al.]. Abnormal EEG Complexity and Functional Connectivity of Brain in Patients with Acute Thalamic Ischemic Stroke. Computational and Mathematical Methods in Medicine. 2016. Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1100085
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1100085