Sub-second dynamics of theta-gamma coupling in hippocampal CA1

eLife

Annabelle C Singer¹  Lu Zhang²  Christopher Rozell²  John Lee³ 

[1] School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, United States;Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, United States;School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, United States;

关键词: hippocampus;    theta-gamma coupling;    community clustering;    k-means;    wavelet;    gamma oscillation;   

DOI  :  10.7554/eLife.44320

来源: DOAJ

【 摘 要 】

Oscillatory brain activity reflects different internal brain states including neurons’ excitatory state and synchrony among neurons. However, characterizing these states is complicated by the fact that different oscillations are often coupled, such as gamma oscillations nested in theta in the hippocampus, and changes in coupling are thought to reflect distinct states. Here, we describe a new method to separate single oscillatory cycles into distinct states based on frequency and phase coupling. Using this method, we identified four theta-gamma coupling states in rat hippocampal CA1. These states differed in abundance across behaviors, phase synchrony with other hippocampal subregions, and neural coding properties suggesting that these states are functionally distinct. We captured cycle-to-cycle changes in oscillatory coupling states and found frequent switching between theta-gamma states showing that the hippocampus rapidly shifts between different functional states. This method provides a new approach to investigate oscillatory brain dynamics broadly.

【 授权许可】

Unknown