Large-scale circuitry interactions upon earthquake experiences revealed by recurrent neural networks

Han Wang, Kun Xie, Zhichao Lian, Yan Cui, Yaowu Chen, Jing Zhang, Leo Xie, Joseph Zhuo Tsien, Tianming Liu

Research output: Contribution to journalArticle

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 transitions. Then, a recurrent neural network model was designed to model the functional dynamics in these thirteen brain regions and six frequency bands in response to the fear stimulus. Interestingly, our results showed that the functional brain connectivities in theta and gamma bands exhibited distinct response processes: In theta band, there is a separated-united-separated alternation in whole-brain connectivity and a low-high-low change in connectivity strength; however, gamma bands have a united-separated-united transition and a high-low-high alternation in connectivity pattern and strength. In general, our results offer a novel perspective in studying functional brain dynamics under fearful stimulus and reveal its relationship to the brain's structural connectivity substrates.

Original languageEnglish (US)
Article number8482281
Pages (from-to)2115-2125
Number of pages11
JournalIEEE Transactions on Neural Systems and Rehabilitation Engineering
Volume26
Issue number11
DOIs
StatePublished - Nov 2018

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Keywords

  • Brain dynamics
  • fear conditioning
  • large-scale LFP recordings
  • recurrent neural network

ASJC Scopus subject areas

  • Internal Medicine
  • Neuroscience(all)
  • Biomedical Engineering

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