PtNPs/PEDOT:PSS-Modified Microelectrode Arrays Reveal Electrophysiological Activities of Different Neurons in Medial Amygdala of Mice Under Innate Fear

Penghui Fan; Penghui Fan; Yilin Song; Yilin Song; Botao Lu; Botao Lu; Yiding Wang; Yiding Wang; Yuchuan Dai; Yuchuan Dai; Jingyu Xie; Jingyu Xie; Enhui He; Enhui He; Zhaojie Xu; Zhaojie Xu; Gucheng Yang; Gucheng Yang; Fan Mo; Fan Mo; Juntao Liu; Juntao Liu; Mixia Wang; Mixia Wang; Xinxia Cai; Xinxia Cai

doi:10.3389/fnins.2022.868235

Frontiers in Neuroscience (May 2022)

PtNPs/PEDOT:PSS-Modified Microelectrode Arrays Reveal Electrophysiological Activities of Different Neurons in Medial Amygdala of Mice Under Innate Fear

Penghui Fan,
Penghui Fan,
Yilin Song,
Yilin Song,
Botao Lu,
Botao Lu,
Yiding Wang,
Yiding Wang,
Yuchuan Dai,
Yuchuan Dai,
Jingyu Xie,
Jingyu Xie,
Enhui He,
Enhui He,
Zhaojie Xu,
Zhaojie Xu,
Gucheng Yang,
Gucheng Yang,
Fan Mo,
Fan Mo,
Juntao Liu,
Juntao Liu,
Mixia Wang,
Mixia Wang,
Xinxia Cai,
Xinxia Cai

Affiliations

Penghui Fan: State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China
Penghui Fan: School of Electronic, Electrical and Communication Engineering, University of the Chinese Academy of Sciences, Beijing, China
Yilin Song: State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China
Yilin Song: School of Electronic, Electrical and Communication Engineering, University of the Chinese Academy of Sciences, Beijing, China
Botao Lu: State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China
Botao Lu: School of Electronic, Electrical and Communication Engineering, University of the Chinese Academy of Sciences, Beijing, China
Yiding Wang: State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China
Yiding Wang: School of Electronic, Electrical and Communication Engineering, University of the Chinese Academy of Sciences, Beijing, China
Yuchuan Dai: State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China
Yuchuan Dai: School of Electronic, Electrical and Communication Engineering, University of the Chinese Academy of Sciences, Beijing, China
Jingyu Xie: State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China
Jingyu Xie: School of Electronic, Electrical and Communication Engineering, University of the Chinese Academy of Sciences, Beijing, China
Enhui He: State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China
Enhui He: School of Electronic, Electrical and Communication Engineering, University of the Chinese Academy of Sciences, Beijing, China
Zhaojie Xu: State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China
Zhaojie Xu: School of Electronic, Electrical and Communication Engineering, University of the Chinese Academy of Sciences, Beijing, China
Gucheng Yang: State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China
Gucheng Yang: School of Electronic, Electrical and Communication Engineering, University of the Chinese Academy of Sciences, Beijing, China
Fan Mo: State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China
Fan Mo: School of Electronic, Electrical and Communication Engineering, University of the Chinese Academy of Sciences, Beijing, China
Juntao Liu: State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China
Juntao Liu: School of Electronic, Electrical and Communication Engineering, University of the Chinese Academy of Sciences, Beijing, China
Mixia Wang: State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China
Mixia Wang: School of Electronic, Electrical and Communication Engineering, University of the Chinese Academy of Sciences, Beijing, China
Xinxia Cai: State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China
Xinxia Cai: School of Electronic, Electrical and Communication Engineering, University of the Chinese Academy of Sciences, Beijing, China

DOI: https://doi.org/10.3389/fnins.2022.868235
Journal volume & issue: Vol. 16

Abstract

Read online

The medial amygdala (MA) plays an important role in the innate fear circuit. However, the electrophysiological mechanism of MA for processing innate fear needs to be further explored. In this study, we fabricated microelectrode arrays (MEAs) with detecting sites arranged to match the location and shape of MA in mice and detected the electrophysiology in freely behaving mice under 2-methyl-2-thiazoline (2MT)-induced fear. The detection performance of MEA is improved by modifying metal nanoparticles and conductive polymers (PtNPs/PEDOT:PSS). After modification, the impedance magnitude and phase of electrodes were decreased to 27.0 ± 2.3 kΩ and −12.30 ± 0.52°, respectively, leading to a signal-to-noise ratio of 10. Its electrochemical stability and mechanical stability were also verified by cyclic voltammetry (CV) sweeping and ultrasonic vibration. MEAs were then implanted into the MA of mice, and the electrophysiology and behavioral characteristics were synchronously recorded and analyzed. The results showed that 2MT induced strong defensive behaviors in mice, accompanied by increases in the average spike firing rate and local field potential (LFP) power of MA neurons. According to principles commonly applied to cortical extracellular recordings, the recorded neurons are divided into two classes based on waveforms. Statistics showed that about 37% of type 1 neurons (putative GABAergic neurons) and 87% of type 2 neurons (putative glutamatergic neurons) were significantly activated under innate fear. At the same time, the firing rate of some activated neurons had a good linear correlation with the freezing rate.

Published in Frontiers in Neuroscience

ISSN: 1662-4548 (Print); 1662-453X (Online)
Publisher: Frontiers Media S.A.
Country of publisher: Switzerland
LCC subjects: Medicine: Internal medicine: Neurosciences. Biological psychiatry. Neuropsychiatry
Website: http://www.frontiersin.org/neuroscience

About the journal

Abstract

Keywords