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...
| Publicado en: | BioMed Research International pp. 1 - 15 |
|---|---|
| Autores principales: | , , , , |
| Formato: | algorithm equations & formulas pictorial research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
11/17/2019
|
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=139703334&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 139703334 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 23146133 FT2T jtl: BioMed Research International issn: 23146133 maglogo: N pubinfo: dt: 11/17/2019 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 139703334 139703334 139703334 10.1155/2019/4979582 139703334 ppf: 1 ppct: 14 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Finding Community Modules of Brain Networks Based on PSO with Uniform Design. aug: au: Zhang, Jie Tang, Lingkai Liao, Bo Zhu, Xiaoshu Wu, Fang-Xiang affil: School 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, China sug: subj: Brain Anatomy and Histology Computer Simulation Algorithms Brain Mapping Magnetic Resonance Imaging Methods Human Autism Spectrum Disorder Diagnosis ab: 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. pubtype: Academic Journal doctype: algorithm equations & formulas pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|