Structure and Topology Dynamics of Hyper-Frequency Networks during Rest and Auditory Oddball Performance

Structure and Topology Dynamics of Hyper-Frequency Networks during Rest and Auditory Oddball Performance

Resting-state and task-related recordings are characterized by oscillatory brain activity and widely distributed networks of synchronized oscillatory circuits. Electroencephalographic recordings (EEG) were used to assess network structure and network dynamics during resting state with eyes open and...

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Bibliographic Details
Main Authors: Viktor Müller, Dionysios Perdikis, Timo von Oertzen, Rita Sleimen-Malkoun, Viktor Jirsa, Ulman Lindenberger
Format: Article
Language:English
Published: Frontiers Media S.A. 2016-10-01
Series:Frontiers in Computational Neuroscience
Subjects:
functional connectivity
resting state
Graph-theoretical approach
Directional coupling
hyper-frequency network
network topology dynamics
Online Access:http://journal.frontiersin.org/Journal/10.3389/fncom.2016.00108/full

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http://journal.frontiersin.org/Journal/10.3389/fncom.2016.00108/full

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