Finding Community Modules of Brain Networks Based on PSO with Uniform Design

Finding Community Modules of Brain Networks Based on PSO with Uniform Design

The brain has the most complex structures and functions in living organisms, and brain networks can provide us an effective way for brain function analysis and brain disease detection. In brain networks, there exist some important neural unit modules, which contain many meaningful biological insight...

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Main Authors: Jie Zhang, Lingkai Tang, Bo Liao, Xiaoshu Zhu, Fang-Xiang Wu
Format: Article
Language:English
Published: Hindawi Limited 2019-01-01
Series:BioMed Research International
Online Access:http://dx.doi.org/10.1155/2019/4979582
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spelling doaj-c21e7088a26e41f58f2f92f275b469112020-11-25T01:27:34ZengHindawi LimitedBioMed Research International2314-61332314-61412019-01-01201910.1155/2019/49795824979582Finding Community Modules of Brain Networks Based on PSO with Uniform DesignJie Zhang0Lingkai Tang1Bo Liao2Xiaoshu Zhu3Fang-Xiang Wu4School of Computer Science and Engineering, Guangxi Colleges and Universities Key Lab of Complex System Optimization and Big Data Processing, Yulin Normal University, Yulin 537000, Guangxi, ChinaDivision of Biomedical Engineering and Department of Mechanical Engineering, University of Saskatchewan, Sakatoon S7N5A9, Saskatchewan, CanadaDivision of Biomedical Engineering and Department of Mechanical Engineering, University of Saskatchewan, Sakatoon S7N5A9, Saskatchewan, CanadaSchool of Computer Science and Engineering, Guangxi Colleges and Universities Key Lab of Complex System Optimization and Big Data Processing, Yulin Normal University, Yulin 537000, Guangxi, ChinaDivision of Biomedical Engineering and Department of Mechanical Engineering, University of Saskatchewan, Sakatoon S7N5A9, Saskatchewan, CanadaThe brain has the most complex structures and functions in living organisms, and brain networks can provide us an effective way for brain function analysis and brain disease detection. In brain networks, there exist some important neural unit modules, which contain many meaningful biological insights. It is appealing to find the neural unit modules and obtain their affiliations. In this study, we present a novel method by integrating the uniform design into the particle swarm optimization to find community modules of brain networks, abbreviated as UPSO. The difference between UPSO and the existing ones lies in that UPSO is presented first for detecting community modules. Several brain networks generated from functional MRI for studying autism are used to verify the proposed algorithm. Experimental results obtained on these brain networks demonstrate that UPSO can find community modules efficiently and outperforms the other competing methods in terms of modularity and conductance. Additionally, the comparison of UPSO and PSO also shows that the uniform design plays an important role in improving the performance of UPSO.http://dx.doi.org/10.1155/2019/4979582
collection DOAJ
language English
format Article
sources DOAJ
author Jie Zhang
Lingkai Tang
Bo Liao
Xiaoshu Zhu
Fang-Xiang Wu
spellingShingle Jie Zhang
Lingkai Tang
Bo Liao
Xiaoshu Zhu
Fang-Xiang Wu
Finding Community Modules of Brain Networks Based on PSO with Uniform Design
BioMed Research International
author_facet Jie Zhang
Lingkai Tang
Bo Liao
Xiaoshu Zhu
Fang-Xiang Wu
author_sort Jie Zhang
title Finding Community Modules of Brain Networks Based on PSO with Uniform Design
title_short Finding Community Modules of Brain Networks Based on PSO with Uniform Design
title_full Finding Community Modules of Brain Networks Based on PSO with Uniform Design
title_fullStr Finding Community Modules of Brain Networks Based on PSO with Uniform Design
title_full_unstemmed Finding Community Modules of Brain Networks Based on PSO with Uniform Design
title_sort finding community modules of brain networks based on pso with uniform design
publisher Hindawi Limited
series BioMed Research International
issn 2314-6133
2314-6141
publishDate 2019-01-01
description The brain has the most complex structures and functions in living organisms, and brain networks can provide us an effective way for brain function analysis and brain disease detection. In brain networks, there exist some important neural unit modules, which contain many meaningful biological insights. It is appealing to find the neural unit modules and obtain their affiliations. In this study, we present a novel method by integrating the uniform design into the particle swarm optimization to find community modules of brain networks, abbreviated as UPSO. The difference between UPSO and the existing ones lies in that UPSO is presented first for detecting community modules. Several brain networks generated from functional MRI for studying autism are used to verify the proposed algorithm. Experimental results obtained on these brain networks demonstrate that UPSO can find community modules efficiently and outperforms the other competing methods in terms of modularity and conductance. Additionally, the comparison of UPSO and PSO also shows that the uniform design plays an important role in improving the performance of UPSO.
url http://dx.doi.org/10.1155/2019/4979582
work_keys_str_mv AT jiezhang findingcommunitymodulesofbrainnetworksbasedonpsowithuniformdesign
AT lingkaitang findingcommunitymodulesofbrainnetworksbasedonpsowithuniformdesign
AT boliao findingcommunitymodulesofbrainnetworksbasedonpsowithuniformdesign
AT xiaoshuzhu findingcommunitymodulesofbrainnetworksbasedonpsowithuniformdesign
AT fangxiangwu findingcommunitymodulesofbrainnetworksbasedonpsowithuniformdesign
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