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      The sound stimulation method and EEG change analysis for development of digital therapeutics that can stimulate the nervous system: Cortical activation and drug substitution potential

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          Abstract

          Introduction

          The purpose of this study is to propose a treatment method and the effect on the nervous system of digital therapeutics, which is a new treatment method to replace surgery and drug prescription for the treatment and prevention of diseases.

          Methods

          The 20 subjects who participated in the experiment, including men and women, had an average age of 26 ± 2.40 years. The proposed treatment method used three types of sound stimulation and air or bone conduction sound transmission methods to induce total of 6‐time EEG electroencephalogram(EEG) changes. EEG was measured with 200 sampling rate each in the P4, Cz, F8 and T7 channel located in the parietal, central, frontal and temporal lobes, respectively, according to the 10/10 system. A total of 2 min of data were created by extracting EEG signals with less noise from the measured data and the extracted data were applied with a 1–40 Hz Butterworth filter and a 50 Hz notch filter with a quality factor of 30. After that, EEG are subdivided into delta (0.5–4 Hz), theta (4–8 Hz), alpha (8–13 Hz), beta (13–30 Hz), and gamma (30–45 Hz) bands. Finally, EEG changes in response to sound stimuli were analyzed using power spectral density and T‐test validation in the frequency band.

          Results

          When a sound stimulus of less than 1 KHz was stimulated by air conduction, brainstem activation was induced and the reticular activation system was activated. In addition, a great potential for replacing drugs was confirmed by inducing changes in the nervous system similar to drugs used for sedation.

          Conclusion

          These results will be able to expand the concept of digital therapeutics, and it is expected that it will be developed as a safer treatment method that can replace surgery and drugs.

          Abstract

          Digital therapeutics using sound stimulation has the potential to be used as a safe treatment method that can replace neuropharmacological treatment and electrical stimulation. Stimulation of the auditory nerve using neutral music and air conduction can induce the activation of the reticular activating system. Finally, It was confirmed that the stimulation has a value that can replace drugs by inducing changes in the nervous system similar to those induced by propofol for the sedative effect.

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          Most cited references52

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          10/20, 10/10, and 10/5 systems revisited: their validity as relative head-surface-based positioning systems.

          With the advent of multi-channel EEG hardware systems and the concurrent development of topographic and tomographic signal source localization methods, the international 10/20 system, a standard system for electrode positioning with 21 electrodes, was extended to higher density electrode settings such as 10/10 and 10/5 systems, allowing more than 300 electrode positions. However, their effectiveness as relative head-surface-based positioning systems has not been examined. We previously developed a virtual 10/20 measurement algorithm that can analyze any structural MR head and brain image. Extending this method to the virtual 10/10 and 10/5 measurement algorithms, we analyzed the MR images of 17 healthy subjects. The acquired scalp positions of the 10/10 and 10/5 systems were normalized to the Montreal Neurological Institute (MNI) stereotactic coordinates and their spatial variability was assessed. We described and examined the effects of spatial variability due to the selection of positioning systems and landmark placement strategies. As long as a detailed rule for a particular system was provided, it yielded precise landmark positions on the scalp. Moreover, we evaluated the effective spatial resolution of 329 scalp landmark positions of the 10/5 system for multi-subject studies. As long as a detailed rule for landmark setting was provided, 241 scalp positions could be set effectively when there was no overlapping of two neighboring positions. Importantly, 10/10 positions could be well separated on a scalp without overlapping. This study presents a referential framework for establishing the effective spatial resolutions of 10/20, 10/10, and 10/5 systems as relative head-surface-based positioning systems.
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            EEG in the diagnosis, classification, and management of patients with epilepsy.

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              Diagnosis of Alzheimer's disease from EEG signals: where are we standing?

              This paper reviews recent progress in the diagnosis of Alzheimer's disease (AD) from electroencephalograms (EEG). Three major effects of AD on EEG have been observed: slowing of the EEG, reduced complexity of the EEG signals, and perturbations in EEG synchrony. In recent years, a variety of sophisticated computational approaches has been proposed to detect those subtle perturbations in the EEG of AD patients. The paper first describes methods that try to detect slowing of the EEG. Next the paper deals with several measures for EEG complexity, and explains how those measures have been used to study fluctuations in EEG complexity in AD patients. Then various measures of EEG synchrony are considered in the context of AD diagnosis. Also the issue of EEG pre-processing is briefly addressed. Before one can analyze EEG, it is necessary to remove artifacts due to for example head and eye movement or interference from electronic equipment. Pre-processing of EEG has in recent years received much attention. In this paper, several state-of-the-art pre-processing tech- niques are outlined, for example, based on blind source separation and other non-linear filtering paradigms. In addition, the paper outlines opportunities and limitations of computational approaches for diagnosing AD based on EEG. At last, future challenges and open problems are discussed.
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                Author and article information

                Contributors
                sungmin2009@gmail.com
                Journal
                CNS Neurosci Ther
                CNS Neurosci Ther
                10.1111/(ISSN)1755-5949
                CNS
                CNS Neuroscience & Therapeutics
                John Wiley and Sons Inc. (Hoboken )
                1755-5930
                1755-5949
                15 November 2022
                January 2023
                : 29
                : 1 ( doiID: 10.1002/cns.v29.1 )
                : 402-411
                Affiliations
                [ 1 ] Department of Medical Biotechnology Dongguk University‐Bio Medi Campus South Korea
                [ 2 ] Department of R&D Support Research Institute for Commercialization of Biomedical Convergence Technology Seoul South Korea
                [ 3 ] Research Institute for Commercialization of Biomedical Convergence Technology Dongguk University South Korea
                Author notes
                [*] [* ] Correspondence

                Sungmin Kim, Department of Medical Biotechnology, Dongguk University‐Bio Medi Campus, Gyeonggi‐do 10326, South Korea.

                Email: sungmin2009@ 123456gmail.com

                Author information
                https://orcid.org/0000-0002-8159-0756
                Article
                CNS14014 CNSNT-2022-462.R1
                10.1111/cns.14014
                9804039
                36377425
                a7cafe7e-3276-476a-af33-d9156135a8cf
                © 2022 The Authors. CNS Neuroscience & Therapeutics published by John Wiley & Sons Ltd.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 17 October 2022
                : 30 June 2022
                : 18 October 2022
                Page count
                Figures: 6, Tables: 3, Pages: 10, Words: 5984
                Funding
                Funded by: Dongguk University , doi 10.13039/501100002471;
                Award ID: S‐2022‐G0001‐00064
                Award ID: G0001‐00064
                Categories
                Original Article
                Original Articles
                Custom metadata
                2.0
                January 2023
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.2.3 mode:remove_FC converted:31.12.2022

                Neurosciences
                digital therapeutics,drug replacement,electroencephalogram,sound stimulation
                Neurosciences
                digital therapeutics, drug replacement, electroencephalogram, sound stimulation

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