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Signal Processing in Neuroscience pp 215–233Cite as

The Comodulation Measure of Neuronal Oscillations

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Abstract

Brain functions are related to neuronal networks of different size and distribution, which oscillate at different frequencies. Thus the synchronisation between these neuronal networks is often reflected by neuronal interaction between different frequency bands, and the description of this cross-frequency interaction is a crucial issue in understanding the modulation mechanisms between neuronal populations. In this chapter, a phase randomisation-based wavelet bicoherence method was introduced, which allows us to reliably measure the comodulation of neuronal oscillations between different frequency bands. The performance of the improved wavelet bicoherence method was evaluated by a simulation study, which showed that the method can detect a reliable phase coupling value, and spurious bicoherence values can be effectively eliminated through the operation of phase randomisation. In what follows, this method was applied to investigate the cross-frequency interaction in physiological signals: the electrocorticogram data recorded from rats during transitions between slow-wave sleep (SWS), rapid eye movement (REM) sleep and waking was analysed to describe the phase coupling dynamics of different states, and then the scalp EEG data recorded in patients under isoflurane anaesthesia was studied to examine the relationship between the patterns of wavelet bicoherence and the isoflurane concentration.

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Authors and Affiliations

  1. School of Information Science and Engineering, Yanshan University, Qinhuangdao, China

    Duan Li

  2. State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, 100875, China

    Xiaoli Li

Authors
  1. Duan Li
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  2. Xiaoli Li
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Correspondence to Xiaoli Li .

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Editors and Affiliations

  1. Beijing Normal University, State Key Lab Cognit Neurosci & Learning, Beijing, Beijing, China

    Xiaoli Li

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Li, D., Li, X. (2016). The Comodulation Measure of Neuronal Oscillations. In: Li, X. (eds) Signal Processing in Neuroscience. Springer, Singapore. https://doi.org/10.1007/978-981-10-1822-0_11

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