Study on the Regulation Effect of Optogenetic Technology on LFP of the Basal Ganglia Nucleus in Rotenone-Treated Rats.


Journal

Neural plasticity
ISSN: 1687-5443
Titre abrégé: Neural Plast
Pays: United States
ID NLM: 100883417

Informations de publication

Date de publication:
2021
Historique:
received: 18 03 2021
accepted: 28 06 2021
entrez: 9 8 2021
pubmed: 10 8 2021
medline: 21 1 2022
Statut: epublish

Résumé

Parkinson's disease (PD) is a common neurological degenerative disease that cannot be completely cured, although drugs can improve or alleviate its symptoms. Optogenetic technology, which stimulates or inhibits neurons with excellent spatial and temporal resolution, provides a new idea and approach for the precise treatment of Parkinson's disease. However, the neural mechanism of photogenetic regulation remains unclear. In this paper, we want to study the nonlinear features of EEG signals in the striatum and globus pallidus through optogenetic stimulation of the substantia nigra compact part. Rotenone was injected stereotactically into the substantia nigra compact area and ventral tegmental area of SD rats to construct rotenone-treated rats. Then, for the optogenetic manipulation, we injected adeno-associated virus expressing channelrhodopsin to stimulate the globus pallidus and the striatum with a 1 mW blue light and collected LFP signals before, during, and after light stimulation. Finally, the collected LFP signals were analyzed by using nonlinear dynamic algorithms. After observing the behavior and brain morphology, 16 models were finally determined to be successful. LFP results showed that approximate entropy and fractal dimension of rats in the control group were significantly greater than those in the experimental group after light treatment ( Optogenetic technology can regulate the characteristic value of LFP signals in rotenone-treated rats to a certain extent. Approximate entropy and fractal dimension algorithm can be used as an effective index to study LFP changes in rotenone-treated rats.

Sections du résumé

Background
Parkinson's disease (PD) is a common neurological degenerative disease that cannot be completely cured, although drugs can improve or alleviate its symptoms. Optogenetic technology, which stimulates or inhibits neurons with excellent spatial and temporal resolution, provides a new idea and approach for the precise treatment of Parkinson's disease. However, the neural mechanism of photogenetic regulation remains unclear.
Objective
In this paper, we want to study the nonlinear features of EEG signals in the striatum and globus pallidus through optogenetic stimulation of the substantia nigra compact part.
Methods
Rotenone was injected stereotactically into the substantia nigra compact area and ventral tegmental area of SD rats to construct rotenone-treated rats. Then, for the optogenetic manipulation, we injected adeno-associated virus expressing channelrhodopsin to stimulate the globus pallidus and the striatum with a 1 mW blue light and collected LFP signals before, during, and after light stimulation. Finally, the collected LFP signals were analyzed by using nonlinear dynamic algorithms.
Results
After observing the behavior and brain morphology, 16 models were finally determined to be successful. LFP results showed that approximate entropy and fractal dimension of rats in the control group were significantly greater than those in the experimental group after light treatment (
Conclusion
Optogenetic technology can regulate the characteristic value of LFP signals in rotenone-treated rats to a certain extent. Approximate entropy and fractal dimension algorithm can be used as an effective index to study LFP changes in rotenone-treated rats.

Identifiants

pubmed: 34367273
doi: 10.1155/2021/9938566
pmc: PMC8342173
doi:

Substances chimiques

Uncoupling Agents 0
Rotenone 03L9OT429T

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

9938566

Informations de copyright

Copyright © 2021 Zongya Zhao et al.

Déclaration de conflit d'intérêts

The authors declare that they have no competing interests.

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Auteurs

Zongya Zhao (Z)

The Second Affiliated Hospital of Xinxiang Medical University, China.
School of Medical Engineering of Xinxiang Medical University, China.
Henan Province Neural Sensing and Control Engineering Technology Research Center, China.

Yanxiang Niu (Y)

School of Medical Engineering of Xinxiang Medical University, China.
Henan Province Neural Sensing and Control Engineering Technology Research Center, China.

Peiqi Chen (P)

School of Medical Engineering of Xinxiang Medical University, China.
Henan Province Neural Sensing and Control Engineering Technology Research Center, China.

Yu Zhu (Y)

School of Medical Engineering of Xinxiang Medical University, China.
Henan Province Neural Sensing and Control Engineering Technology Research Center, China.

Liangliang Shi (L)

School of Medical Engineering of Xinxiang Medical University, China.
Henan Province Neural Sensing and Control Engineering Technology Research Center, China.

Xuewei Zhao (X)

School of Medical Engineering of Xinxiang Medical University, China.
Henan Province Neural Sensing and Control Engineering Technology Research Center, China.

Chang Wang (C)

School of Medical Engineering of Xinxiang Medical University, China.
Henan Province Neural Sensing and Control Engineering Technology Research Center, China.

Yehong Zhang (Y)

School of Medical Engineering of Xinxiang Medical University, China.
Henan Province Neural Sensing and Control Engineering Technology Research Center, China.

Zhixian Gao (Z)

School of Medical Engineering of Xinxiang Medical University, China.
Henan Province Neural Sensing and Control Engineering Technology Research Center, China.

Wenshuai Jiang (W)

School of Medical Engineering of Xinxiang Medical University, China.
Henan Province Neural Sensing and Control Engineering Technology Research Center, China.

Wu Ren (W)

School of Medical Engineering of Xinxiang Medical University, China.
Henan Province Neural Sensing and Control Engineering Technology Research Center, China.

Renjun Gu (R)

The Second Affiliated Hospital of Xinxiang Medical University, China.
School of Medical Engineering of Xinxiang Medical University, China.
Henan Key Lab of Biological Psychiatry, Xinxiang Medical University, China.

Yi Yu (Y)

The Second Affiliated Hospital of Xinxiang Medical University, China.
School of Medical Engineering of Xinxiang Medical University, China.
Henan Province Neural Sensing and Control Engineering Technology Research Center, China.
Henan Key Lab of Biological Psychiatry, Xinxiang Medical University, China.

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Classifications MeSH