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Journal of Neurorestoratology 2020, 8(1): 26-31 https://doi.org/10.26599/JNR.2020.9040002
Review Article | Open Access | Issue | Published: 05 March 2020

Brain gamma rhythm and potential treatment of neurodegenerative disease

Show Author's Information Jianhua Zhao1,2,  Ailin Du3,4,  Chengbiao Lu2,3,4( )
Department of Neurology, First Affiliated Hospital of Xinxiang Medical University, Weihui 453100, Henan, China;
Henan Joint International Research Laboratory of Neurorestoratology for Senile Dementia / Henan Key Laboratory of Neurorestoratology, Weihui 453100, Henan, China;
Henan International Joint Laboratory for Non-invasive Brain Modulation / Key Laboratory for Brain Research of Henan Province, Xinxiang Medical University, Xinxiang 453003, Henan, China;
Department of Physiology and Neurophysiology, Xinxiang Medical University, Xinxiang 453003, Henan, China
Keywords:
cognitive function, brain network oscillation, gamma oscillation, neurodegenerative disease
Cite this article:
Zhao J, Du A, Lu C. Brain gamma rhythm and potential treatment of neurodegenerative disease. Journal of Neurorestoratology, 2020, 8(1): 26-31. https://doi.org/10.26599/JNR.2020.9040002
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Abstract Full text About this article

In this mini-review, we illustrate the brain network oscillations in different brain areas, including the medial septal diagonal band complex (MSDB) and hippocampus, especially at gamma frequency bands (γ, 30–80 Hz) and theta frequency bands (θ, 4–12 Hz), and their induction and modulation by physical stimulation, such as light and sound, and pharmacological stimulation with agents such as agonists of the kainite subunit ionotropic glutamate receptor, metabotropic glutamate receptor, metabotropic cholinergic receptor, and nicotinic cholinergic receptor. Recent findings demonstrate that boosting gamma oscillations in specific brain areas appears to be able to restore cognitive function and reduce relative pathology in neurodegenerative diseases, such as Alzheimer’s disease. Thus, exploration of strategies to enhance or restore impaired gamma oscillations may be a new and effective method to improve the conditions in these devastating diseases.


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About this article

Brain gamma rhythm and potential treatment of neurodegenerative disease

Show Author's information Jianhua Zhao1,2, Ailin Du3,4, Chengbiao Lu2,3,4( )
Department of Neurology, First Affiliated Hospital of Xinxiang Medical University, Weihui 453100, Henan, China;
Henan Joint International Research Laboratory of Neurorestoratology for Senile Dementia / Henan Key Laboratory of Neurorestoratology, Weihui 453100, Henan, China;
Henan International Joint Laboratory for Non-invasive Brain Modulation / Key Laboratory for Brain Research of Henan Province, Xinxiang Medical University, Xinxiang 453003, Henan, China;
Department of Physiology and Neurophysiology, Xinxiang Medical University, Xinxiang 453003, Henan, China

Abstract

In this mini-review, we illustrate the brain network oscillations in different brain areas, including the medial septal diagonal band complex (MSDB) and hippocampus, especially at gamma frequency bands (γ, 30–80 Hz) and theta frequency bands (θ, 4–12 Hz), and their induction and modulation by physical stimulation, such as light and sound, and pharmacological stimulation with agents such as agonists of the kainite subunit ionotropic glutamate receptor, metabotropic glutamate receptor, metabotropic cholinergic receptor, and nicotinic cholinergic receptor. Recent findings demonstrate that boosting gamma oscillations in specific brain areas appears to be able to restore cognitive function and reduce relative pathology in neurodegenerative diseases, such as Alzheimer’s disease. Thus, exploration of strategies to enhance or restore impaired gamma oscillations may be a new and effective method to improve the conditions in these devastating diseases.

Keywords: cognitive function, brain network oscillation, gamma oscillation, neurodegenerative disease

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Publication history
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Publication history

Received: 31 October 2019
Revised: 11 December 2019
Accepted: 08 January 2020
Published: 05 March 2020
Issue date: March 2020

Copyright

© The authors 2020

Acknowledgements

This work was supported by Henan Natural Science Foundation, China (No. 182300410389, granted to Jianhua Zhao); Scientific and Technological Project of Health and Family Planning Commission, Henan Province, China (No. 201303105, granted to Jianhua Zhao); and Key Scientific Research Projects of Universities in Henan Province, China (No. 16B320019, granted to Jianhua Zhao).

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This article is published with open access at http://jnr.tsinghuajournals.com

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