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Brain Structural and Functional Representation Based on the Local Global Graph Methodology
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 h...
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Main Authors: | , , |
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Format: | Conference Proceeding |
Language: | English |
Subjects: | |
Online Access: | Request full text |
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Summary: | 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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ISSN: | 2471-7819 |
DOI: | 10.1109/BIBE.2018.00033 |