Editorial
Copyright ©2012 Baishideng. All rights reserved.
World J Psychiatr. Feb 22, 2012; 2(1): 1-12
Published online Feb 22, 2012. doi: 10.5498/wjp.v2.i1.1
Graph-based network analysis in schizophrenia
Sifis Micheloyannis
Sifis Micheloyannis, Medical Division, Research Clinical Neurophysiological Laboratory (L. Widén Laboratory), University of Crete, Iraklion/Crete 71409, Greece
Author contributions: Micheloyannis S solely contributed to this paper.
Correspondence to: Dr. Sifis Micheloyannis, MD, PhD, Medical Division, Research Clinical Neurophysiological Laboratory (L. Widén Laboratory), University of Crete, Iraklion/Crete 71409, Greece. micheloyannis.sifis@gmail.com
Telephone: +30-693-2431138 Fax: +30-693-2431138
Received: October 9, 2011
Revised: December 10, 2011
Accepted: January 21, 2012
Published online: February 22, 2012
Abstract

Over the last few years, many studies have been published using modern network analysis of the brain. Researchers and practical doctors alike should understand this method and its results on the brain evaluation at rest, during activation and in brain disease. The studies are noninvasive and usually performed with elecroencephalographic, magnetoencephalographic, magnetic resonance imaging and diffusion tensor imaging brain recordings. Different tools for analysis have been developed, although the methods are in their early stages. The results of these analyses are of special value. Studies of these tools in schizophrenia are important because widespread and local network disturbances can be evaluated by assessing integration, segregation and several structural and functional properties. With the help of network analyses, the main findings in schizophrenia are lower optimum network organization, less efficiently wired networks, less local clustering, less hierarchical organization and signs of disconnection. There are only about twenty five relevant papers on the subject today. Only a few years of study of these methods have produced interesting results and it appears promising that the development of these methods will present important knowledge for both the preclinical signs of schizophrenia and the methods’ therapeutic effects.

Keywords: Schizophrenia; Graph theory; Small world networks; Brain networks; Brain connectivity