Large-Scale Circuitry Interactions Upon Earthquake Experiences Revealed by Recurrent Neural Networks.

ABSTRACT: Brain dynamics has recently received increasing interest due to its significant importance in basic and clinical neurosciences. However, due to inherent difficulties in both data acquisition and data analysis methods, studies on large-scale brain dynamics of mouse with local field potential (LFP) recording are very rare. In this paper, we did a series of works on modeling large-scale mouse brain dynamic activities responding to fearful earthquake. Based on LFP recording data from 13 brain regions that are closely related to fear learning and memory and the effective Bayesian connectivity change point model, we divided the response time series into four stages: "Before," "Earthquake," "Recovery," and "After." We first reported the changes in power and theta-gamma coupling during stage trans

SUBMITTER: Wang H 

PROVIDER: S-EPMC6298947 | biostudies-literature | 2018 Nov

REPOSITORIES: biostudies-literature