Brainnetome-wide association studies in schizophrenia: The advances and future

Jiang, Tianzi, Zhou, Yuan, Liu, Bing, Liu, Yong and Song, Ming (2013) Brainnetome-wide association studies in schizophrenia: The advances and future. Neuroscience and Biobehavioral Reviews, 37 10: 2818-2835. doi:10.1016/j.neubiorev.2013.10.004


Author Jiang, Tianzi
Zhou, Yuan
Liu, Bing
Liu, Yong
Song, Ming
Title Brainnetome-wide association studies in schizophrenia: The advances and future
Journal name Neuroscience and Biobehavioral Reviews   Check publisher's open access policy
ISSN 0149-7634
1873-7528
Publication date 2013
Year available 2013
Sub-type Critical review of research, literature review, critical commentary
DOI 10.1016/j.neubiorev.2013.10.004
Open Access Status
Volume 37
Issue 10
Start page 2818
End page 2835
Total pages 18
Place of publication Kidlington, Oxford, United Kingdom
Publisher Pergamon
Collection year 2014
Language eng
Subject 2802 Behavioral Neuroscience
2805 Cognitive Neuroscience
3206 Neuropsychology and Physiological Psychology
Abstract Convergent evidence suggests that psychiatric disorders are the result of faulty brain networks. To understand the pathophysiological network mechanisms of psychiatric disorders, it is necessary to integrate multi-level network features obtained using various functional and anatomical brain imaging technologies on different scales. We have proposed a new concept, the brainnetome, to represent this integrative framework. In the present review, we use schizophrenia, a disorder characterized by dysconnectivity, to demonstrate how the brainnetome concept can be applied to the study of psychiatric disorders. We first review studies of abnormal brain networks in schizophrenia that are based on single regions of interest. We then present some advances and challenges in understanding the malfunctions of specific brain networks in schizophrenia. Some recent advances and challenges in understanding abnormal whole brain networks in schizophrenia are also presented. We next briefly introduce a few studies that show how genes related to the risk for schizophrenia affect brain networks. Finally, we present a brief discussion about how the brainnetome concept may influence future research and provide a perspective on challenges in this field.
Keyword Brain networks
Effective connectivity
Functional connectivity
Functional magnetic resonance imaging
Schizophrenia
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Critical review of research, literature review, critical commentary
Collections: Queensland Brain Institute Publications
Official 2014 Collection
Centre for Advanced Imaging Publications
 
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