Comparison of Wavelet and RID-Rihaczek Based Methods for Phase-Amplitude Coupling

被引:7
作者
Munia, Tamanna Tabassum Khan [1 ]
Aviyente, Selin [1 ]
机构
[1] Michigan State Univ, Dept Elect & Comp Engn, E Lansing, MI 48824 USA
关键词
Picture archiving and communication systems; Time-frequency analysis; Couplings; High frequency; Frequency modulation; Oscillators; Wavelet transforms; Cross Frequency Coupling; Phase-Amplitude Coupling; time-frequency distribution; Generalized Morse Wavelet; RID-Rihaczek distribution; EEG; TIME; OSCILLATIONS; DYNAMICS; CORTEX;
D O I
10.1109/LSP.2019.2952025
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Oscillatory phenomena and linear/nonlinear interactions across different oscillatory frequencies are commonly seen between the elements of complex systems. One particular form of interaction that is widely encountered is the modulation of the amplitude of broadband high-frequency oscillations by the phase of low-frequency oscillations, defined as phase-amplitude coupling (PAC). Conventional methods for assessing PAC mostly rely on the Hilbert transform. Previous studies have shown that this method produces biased or spurious PAC estimates as it is highly dependent on the parameters of the bandpass filter used to extract narrowband signals from broadband signals. Recently, wavelet-based methods have been proposed to address some of these limitations. In this letter, we provide a thorough comparison between wavelet-based PAC measures and our recently introduced Reduced Interference Rihaczek (RID-Rihaczek) distribution based PAC both analytically and through simulations. The proposed method is shown to yield higher frequency resolution PAC estimates compared to wavelet-based methods.
引用
收藏
页码:1897 / 1901
页数:5
相关论文
共 32 条
  • [1] Reliability of 80-Hz amplitude-modulation-following response detected by phase coherence
    Aoyagi, M
    Suzuki, Y
    Yokota, M
    Furuse, H
    Watanabe, T
    Ito, T
    [J]. AUDIOLOGY AND NEURO-OTOLOGY, 1999, 4 (01) : 28 - 37
  • [2] Joint acoustic and modulation frequency
    Atlas, L
    Shamma, SA
    [J]. EURASIP JOURNAL ON APPLIED SIGNAL PROCESSING, 2003, 2003 (07) : 668 - 675
  • [3] A Time-Frequency-Based Approach to Phase and Phase Synchrony Estimation
    Aviyente, Selin
    Mutlu, Ali Yener
    [J]. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2011, 59 (07) : 3086 - 3098
  • [4] Boccara N, 2010, GRAD TEXTS PHYS, P1, DOI 10.1007/978-1-4419-6562-2
  • [5] Single-trial multiwavelet coherence in application to neurophysiological time series
    Brittain, John-Stuart
    Halliday, David M.
    Conway, Bernard A.
    Nielsen, Jens Bo
    [J]. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2007, 54 (05) : 854 - 862
  • [6] Buzaki G., 2006, Rhythms of the Brain, DOI DOI 10.1093/ACPROF:OSO/9780195301069.001.0001
  • [7] Neural Syntax: Cell Assemblies, Synapsembles, and Readers
    Buzsaki, Gyoergy
    [J]. NEURON, 2010, 68 (03) : 362 - 385
  • [8] High gamma power is phase-locked to theta oscillations in human neocortex
    Canolty, R. T.
    Edwards, E.
    Dalal, S. S.
    Soltani, M.
    Nagarajan, S. S.
    Kirsch, H. E.
    Berger, M. S.
    Barbaro, N. M.
    Knight, R. T.
    [J]. SCIENCE, 2006, 313 (5793) : 1626 - 1628
  • [9] The functional role of cross-frequency coupling
    Canolty, Ryan T.
    Knight, Robert T.
    [J]. TRENDS IN COGNITIVE SCIENCES, 2010, 14 (11) : 506 - 515
  • [10] Multivariate cross-frequency coupling via generalized eigendecomposition
    Cohen, Michael X.
    [J]. ELIFE, 2017, 6