Literature DB >> 30966954

Non-equilibrium landscape and flux reveal how the central amygdala circuit gates passive and active defensive responses.

Han Yan1, Bo Li2, Jin Wang1,3.   

Abstract

Uncovering the underlying physical principles of biology is important for understanding the biological function yet challenging. Take an example, the animals' defensive systems are very effective to threats. However, the underlying physical mechanisms are still unclear. We developed a non-equilibrium physics framework in terms of landscape and flux to study a central lateral amygdala (CeL) neural circuit based on experimental findings. We show that the distinct active and passive defensive responses of the animals upon threats are a result of non-equilibrium phase transitions. Such non-equilibrium phase transitions result from thermodynamic symmetry breaking, which is induced dynamically by the non-equilibrium flux. This gives rise to the emergence and selection of passive and active fear defensive responses, which can be quantified by the changes on the topography of the underlying non-equilibrium landscape. We have found the strengthened synaptic transmissions to both the SOM+ and SOM- CeL neurons are necessary for the acquisition and expression of active fear responses. This suggests a way to induce active responses and facilitates the design of new therapeutic strategies for cognitive dysfunction. We have also found that sufficient energy supply is crucial for the ability of selecting the appropriate defensive responses through stabilizing functional states against fluctuations.

Entities:  

Keywords:  detailed balance breaking; energy cost; fear conditioning; non-equilibrium landscape and flux; passive and active defensive responses; time reversal symmetry breaking

Mesh:

Year:  2019        PMID: 30966954      PMCID: PMC6505558          DOI: 10.1098/rsif.2018.0756

Source DB:  PubMed          Journal:  J R Soc Interface        ISSN: 1742-5662            Impact factor:   4.118


  31 in total

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3.  Potential landscape and flux framework of nonequilibrium networks: robustness, dissipation, and coherence of biochemical oscillations.

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4.  Central Amygdala Somatostatin Neurons Gate Passive and Active Defensive Behaviors.

Authors:  Kai Yu; Pedro Garcia da Silva; Dinu F Albeanu; Bo Li
Journal:  J Neurosci       Date:  2016-06-15       Impact factor: 6.167

5.  The energy pump and the origin of the non-equilibrium flux of the dynamical systems and the networks.

Authors:  Liufang Xu; Hualin Shi; Haidong Feng; Jin Wang
Journal:  J Chem Phys       Date:  2012-04-28       Impact factor: 3.488

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Authors:  E Eisenberg; T L Hill
Journal:  Science       Date:  1985-03-01       Impact factor: 47.728

7.  Dissipation, generalized free energy, and a self-consistent nonequilibrium thermodynamics of chemically driven open subsystems.

Authors:  Hao Ge; Hong Qian
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2013-06-18

8.  Experience-dependent modification of a central amygdala fear circuit.

Authors:  Haohong Li; Mario A Penzo; Hiroki Taniguchi; Charles D Kopec; Z Josh Huang; Bo Li
Journal:  Nat Neurosci       Date:  2013-01-27       Impact factor: 24.884

9.  The paraventricular thalamus controls a central amygdala fear circuit.

Authors:  Mario A Penzo; Vincent Robert; Jason Tucciarone; Dimitri De Bundel; Minghui Wang; Linda Van Aelst; Martin Darvas; Luis F Parada; Richard D Palmiter; Miao He; Z Josh Huang; Bo Li
Journal:  Nature       Date:  2015-01-19       Impact factor: 49.962

10.  Quantification of motor network dynamics in Parkinson's disease by means of landscape and flux theory.

Authors:  Han Yan; Jin Wang
Journal:  PLoS One       Date:  2017-03-28       Impact factor: 3.240

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  4 in total

Review 1.  Perspectives on the landscape and flux theory for describing emergent behaviors of the biological systems.

Authors:  Jin Wang
Journal:  J Biol Phys       Date:  2021-11-25       Impact factor: 1.365

Review 2.  Metastable dynamics of neural circuits and networks.

Authors:  B A W Brinkman; H Yan; A Maffei; I M Park; A Fontanini; J Wang; G La Camera
Journal:  Appl Phys Rev       Date:  2022-03       Impact factor: 19.162

3.  Non-equilibrium landscape and flux reveal the stability-flexibility-energy tradeoff in working memory.

Authors:  Han Yan; Jin Wang
Journal:  PLoS Comput Biol       Date:  2020-10-02       Impact factor: 4.475

4.  Visualization of subdiffusive sites in a live single cell.

Authors:  Zeno Földes-Papp; Gerd Baumann; Long-Cheng Li
Journal:  J Biol Methods       Date:  2021-01-30
  4 in total

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