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

Volume: 10
Published: Oct 17, 2016
Abstract
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 closed, and auditory oddball performance through phase synchronization between EEG channels. For this assessment, we constructed a hyper-frequency...
Paper Details
Title
Structure and Topology Dynamics of Hyper-Frequency Networks during Rest and Auditory Oddball Performance
Published Date
Oct 17, 2016
Volume
10
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