Complex Brain Network Analysis and Its Applications to Brain Disorders: A Survey
Joint Authors
Liu, Jin
Lan, Wei
Zheng, Ruiqing
Pan, Yi
Wang, Jianxin
Wu, Fang-Xiang
Li, Min
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-27, 27 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-10-22
Country of Publication
Egypt
No. of Pages
27
Main Subjects
Abstract EN
It is well known that most brain disorders are complex diseases, such as Alzheimer’s disease (AD) and schizophrenia (SCZ).
In general, brain regions and their interactions can be modeled as complex brain network, which describe highly efficient information transmission in a brain.
Therefore, complex brain network analysis plays an important role in the study of complex brain diseases.
With the development of noninvasive neuroimaging and electrophysiological techniques, experimental data can be produced for constructing complex brain networks.
In recent years, researchers have found that brain networks constructed by using neuroimaging data and electrophysiological data have many important topological properties, such as small-world property, modularity, and rich club.
More importantly, many brain disorders have been found to be associated with the abnormal topological structures of brain networks.
These findings provide not only a new perspective to explore the pathological mechanisms of brain disorders, but also guidance for early diagnosis and treatment of brain disorders.
The purpose of this survey is to provide a comprehensive overview for complex brain network analysis and its applications to brain disorders.
American Psychological Association (APA)
Liu, Jin& Li, Min& Pan, Yi& Lan, Wei& Zheng, Ruiqing& Wu, Fang-Xiang…[et al.]. 2017. Complex Brain Network Analysis and Its Applications to Brain Disorders: A Survey. Complexity،Vol. 2017, no. 2017, pp.1-27.
https://search.emarefa.net/detail/BIM-1143520
Modern Language Association (MLA)
Liu, Jin…[et al.]. Complex Brain Network Analysis and Its Applications to Brain Disorders: A Survey. Complexity No. 2017 (2017), pp.1-27.
https://search.emarefa.net/detail/BIM-1143520
American Medical Association (AMA)
Liu, Jin& Li, Min& Pan, Yi& Lan, Wei& Zheng, Ruiqing& Wu, Fang-Xiang…[et al.]. Complex Brain Network Analysis and Its Applications to Brain Disorders: A Survey. Complexity. 2017. Vol. 2017, no. 2017, pp.1-27.
https://search.emarefa.net/detail/BIM-1143520
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1143520