{"title":"Brain Structural and Functional Representation Based on the Local Global Graph Methodology","authors":"Spyridon Manganas, N. Bourbakis, K. Michalopoulos","doi":"10.1109/BIBE.2018.00033","DOIUrl":null,"url":null,"abstract":"This paper presents a novel graph-based methodology for development of structural and functional brain graphs. Using data from non-invasive neuroimaging modalities, such as MRI, fMRI and EEG, graphs that represent the brain architecture and functionality, are generated. Graph theory-based analysis has been applied with great success for studying the brain's connectivity, organization and dynamics. Towards this direction the presented Local Global (LG) graph methodology combines the local-regional information to compose a global topological representation.","PeriodicalId":127507,"journal":{"name":"2018 IEEE 18th International Conference on Bioinformatics and Bioengineering (BIBE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE 18th International Conference on Bioinformatics and Bioengineering (BIBE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BIBE.2018.00033","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
This paper presents a novel graph-based methodology for development of structural and functional brain graphs. Using data from non-invasive neuroimaging modalities, such as MRI, fMRI and EEG, graphs that represent the brain architecture and functionality, are generated. Graph theory-based analysis has been applied with great success for studying the brain's connectivity, organization and dynamics. Towards this direction the presented Local Global (LG) graph methodology combines the local-regional information to compose a global topological representation.
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