The Application of Phase Synchronization in Continuous Neural Signals

被引:1
|
作者
Li, Xiaozan [1 ]
Shi, Hongbo [2 ]
Wen, Zaizhi [1 ]
机构
[1] East China Univ Sci & Technol, Sch Informat, 130 Meilong Rd, Shanghai 200237, Peoples R China
[2] East China Univ Sci & Technol, Inst Cognit Neurodynam, 130 MeilongRd, Shanghai 200237, Peoples R China
关键词
Synchronization; local field potential; phase lock value; prefrontal cortex; striatum; MUTUAL INFORMATION; EEG; ELECTROENCEPHALOGRAM;
D O I
10.1145/3383972.3383998
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Synchronization is an important feature in the exchange of information and the establishment of interconnections between the different regions of the brain. Phase-based synchronization is a very effective method in the analysis of neural signal synchronization. In this paper, the method of phase-based synchronization was used to calculate the phase lock value (PLV) of the local field potential(LFP) signal between the prefrontal cortex (PFC)and striatum(STR) in the monkey. We found that the phase synchronism in the beta frequency band was clearly different for different test conditions and different test stages between the two brain regions of the monkey.The beta-band LFP signal was more synchronous. The beta-band LFP signal was important in the exchange of information between two different brain regions.
引用
收藏
页码:157 / 160
页数:4
相关论文
共 50 条
  • [1] Soft carrier phase synchronization algorithm for continuous phase modulations signals
    Zhou, Xiang-Chao
    Xue, Rui
    Zhao, Dan-Feng
    Fu, Fang
    Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition), 2015, 45 (01): : 291 - 296
  • [2] Phase and clock synchronization of the Viterbi demodulator of continuous-phase modulation signals
    Kulikov, G. V.
    Unger, A. Y.
    Sukhanov, P. G.
    JOURNAL OF COMMUNICATIONS TECHNOLOGY AND ELECTRONICS, 2011, 56 (06) : 656 - 662
  • [3] Phase and clock synchronization of the Viterbi demodulator of continuous-phase modulation signals
    G. V. Kulikov
    A. Y. Unger
    P. G. Sukhanov
    Journal of Communications Technology and Electronics, 2011, 56 : 656 - 662
  • [4] Phase synchronization in a complex-valued neural network and its application to the offset control of traffic signals
    Nishikawa, I
    Iritani, T
    Sakakibara, K
    Kuroe, Y
    DYNAMICS OF CONTINUOUS DISCRETE AND IMPULSIVE SYSTEMS-SERIES B-APPLICATIONS & ALGORITHMS, 2005, 1 : 439 - 444
  • [5] Hardware friendly algorithm for the calculation of phase synchronization between neural signals
    Brian Romaine, James
    Delgado-Restituto, Manuel
    2015 IEEE BIOMEDICAL CIRCUITS AND SYSTEMS CONFERENCE (BIOCAS), 2015, : 244 - 247
  • [6] Application of Joint Recurrence Analysis for Estimating Phase Synchronization of Physiological Signals
    O. E. Dick
    A. L. Glazov
    Technical Physics, 2022, 67 : 48 - 60
  • [7] Application of Joint Recurrence Analysis for Estimating Phase Synchronization of Physiological Signals
    Dick, O. E.
    Glazov, A. L.
    TECHNICAL PHYSICS, 2022, 67 (02) : 48 - 60
  • [8] Detection of mutual phase synchronization in multivariate signals and application to phase ensembles and chaotic data
    Hutt, A
    Daffertshofer, A
    Steinmetz, U
    PHYSICAL REVIEW E, 2003, 68 (03) : 362191 - 362191
  • [9] Detecting phase synchronization by localized maps: Application to neural networks
    Pereira, T.
    Baptista, M. S.
    Kurths, J.
    EPL, 2007, 77 (04)
  • [10] Quantification of synchronization processes by coherence and phase and its application in analysis of electrophysiological signals
    Schack, B
    Rappelsberger, P
    Anders, C
    Weiss, S
    Möller, E
    INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS, 2000, 10 (11): : 2565 - 2586