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
Affiliations
Xing-Yan Dang
School of Electronic Science and Engineering, Nanjing University, Nanjing, China
Han-Ting Xu
State Key Laboratory of Pharmaceutical Biotechnology, National Resource Center for Mutant Mice, and Department of Physiology, School of Life Sciences, Nanjing University, Nanjing, China
Xin-Yu Bao
School of Electronic Science and Engineering, Nanjing University, Nanjing, China
Yun-Yong Xie
State Key Laboratory of Pharmaceutical Biotechnology, National Resource Center for Mutant Mice, and Department of Physiology, School of Life Sciences, Nanjing University, Nanjing, China
Jing-Ning Zhu
State Key Laboratory of Pharmaceutical Biotechnology, National Resource Center for Mutant Mice, and Department of Physiology, School of Life Sciences, Nanjing University, Nanjing, China
Xiao-Yang Zhang
State Key Laboratory of Pharmaceutical Biotechnology, National Resource Center for Mutant Mice, and Department of Physiology, School of Life Sciences, Nanjing University, Nanjing, China
Xiao-Lin Huang
School of Electronic Science and Engineering, Nanjing University, Nanjing, China
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.
