基于局部全局图方法的脑结构与功能表征

2018 IEEE 18th International Conference on Bioinformatics and Bioengineering (BIBE) Pub Date : 2018-10-01 DOI:10.1109/BIBE.2018.00033

Spyridon Manganas, N. Bourbakis, K. Michalopoulos

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引用次数: 2

摘要

本文提出了一种新的基于图的方法来开发结构和功能脑图。使用来自非侵入性神经成像模式的数据，如MRI, fMRI和EEG，生成代表大脑结构和功能的图表。基于图论的分析在研究大脑的连通性、组织和动态方面取得了巨大成功。在这个方向上，提出了局部全局(LG)图方法，将局部-区域信息组合成一个全局拓扑表示。

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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 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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2018 IEEE 18th International Conference on Bioinformatics and Bioengineering (BIBE)

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