Variability and stability of large-scale cortical oscillation patterns

" Neural oscillations are critical for the human brain’s ability to optimally respond to complex environmental input. However, relatively little is known about the network properties of these oscillatory rhythms. We used electroencephalography (EEG) to analyze large-scale brain wave patterns, focusing on multiple frequency bands and several key features of oscillatory communication. We show that networks defined in this manner are, in fact, distinct, suggesting that EEG activity encompasses multiple, parallel information processing streams. Remarkably, the same networks can be used to uniquely identify individuals over a period of approximately half a year, thus serving as neural fingerprints. These findings indicate that investigating oscillatory dynamics from a network perspective holds considerable promise as a tool to understand human cognition and behavior. " {Credits 1}

{Credits 1} 🎪 Cox, R., Schapiro, A. C., & Stickgold, R. (2018). Variability and stability of large-scale cortical oscillation patterns. Network neuroscience (Cambridge, Mass.), 2(4), 481–512. doi:10.1162/netn_a_00046. Copyright: © 2018 Massachusetts Institute of Technology. Published under a Creative Commons Attribution 4.0 International License

Last modified on 02-Apr-17

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