Application of Graph Theory to Assess Static and Dynamic Brain Connectivity: Approaches for Building Brain Graphs.
Proceedings of the IEEE(2018)
摘要
Human brain connectivity is complex. Graph-theory-based analysis has become a powerful and popular approach for analyzing brain imaging data, largely because of its potential to quantitatively illuminate the networks, the static architecture in structure and function, the organization of dynamic behavior over time, and disease related brain changes. The first step in creating brain graphs is to de...
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关键词
Brain modeling,Graph theory,Diseases,Functional magnetic resonance imaging,Mental disorders,Image edge detection,Detection algorithms
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