AIP Advances (May 2023)

An entropy-based method to measure phase-locking between LFP and spikes

  • Xing-Yan Dang,
  • Han-Ting Xu,
  • Xin-Yu Bao,
  • Yun-Yong Xie,
  • Jing-Ning Zhu,
  • Xiao-Yang Zhang,
  • Xiao-Lin Huang

DOI
https://doi.org/10.1063/5.0147603
Journal volume & issue
Vol. 13, no. 5
pp. 055224 – 055224-10

Abstract

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Phase-locking between local field potential and spikes has been widely investigated through neurophysiological analysis. Two indices most frequently adopted traditionally include the mean resultant length and p of the Rayleigh test. However, the traditional method is found less reliable for cases with substantial sample sizes or with bimodal distribution. In this article, K we propose an entropy-based method to detect and measure phase-locking. Simulation results prove that the method can be effectively applied to cases with a relatively large sample size and it can effectively detect phase-locking even under bimodal conditions with two peaks of opposite phases. Furthermore, we propose thresholds to help measure the intensity of spike field phase-locking. We also apply the proposed method to our experimental data and find phase locking with two opposite phases, which would be left out in traditional phase-locking analysis.