Applications of Community Detection Techniques to Brain Graphs: Algorithmic Considerations and Implications for Neural Function

The human brain can be represented as a graph in which neural units such as cells or small volumes of tissue are heterogeneously connected to one another through structural or functional links. Brain graphs are parsimonious representations of neural systems that have begun to offer fundamental insig...

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Veröffentlicht in:	Proceedings of the IEEE Jg. 106; H. 5; S. 846 - 867
Hauptverfasser:	Garcia, Javier O., Ashourvan, Arian, Muldoon, Sarah, Vettel, Jean M., Bassett, Danielle S.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.05.2018 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Adaptive systems Algorithms Brain Brain modeling Brain networks Cognition Communities community detection Detection algorithms Electroencephalography Graph theory Graphical representations Graphs Human behavior Magnetic resonance imaging Maximization Medical imaging modu-larity Modular construction Modularity multilayer multiscale Neuroimaging Neurology Neuroscience Time series analysis modularity brain networks multi-scale community detection multi-layer
ISSN:	0018-9219, 1558-2256
Online-Zugang:	Volltext
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