Complex Brain Network Analysis and Its Applications to Brain Disorders: A Survey

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...

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Bibliographic Details
Published in:Complexity (New York, N.Y.) N.Y.), 2017-01, Vol.2017 (2017), p.1-27
Main Authors: Wang, Jianxin, Zheng, Ruiqing, Lan, Wei, Pan, Yi, Li, Min, Liu, Jin, Wu, Fang-Xiang
Format: Article
Language:English
Subjects:
Autism
Brain
Brain diseases
Care and treatment
Diagnosis
Disorders
Electroencephalography
Epilepsy
Magnetic fields
Medical imaging
Modularity
Network analysis
Networks
Neurology
Neurons
Neurosciences
NMR
Nuclear magnetic resonance
Schizophrenia
Systematic review
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Summary: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.
ISSN:1076-2787
1099-0526
DOI:10.1155/2017/8362741