The quantification of the effect of substance abuse on brain behavior based on electroencephalogram signals: A comprehensive review
Introduction: Substance abuse has become a significant health problem for individuals and society. This study aimed to investigate the effects of substance abuse on brain waves.Materials and Methods: Articles used were systematically searched in Google Scholar, Scopus, Thomson Reuters, ScienceDirect...
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| Format: | Article |
| Language: | English |
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Mashhad University of Medical Sciences
2022-11-01
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| Series: | Journal of Fundamentals of Mental Health |
| Subjects: | |
| Online Access: | https://jfmh.mums.ac.ir/article_21413_fde9433b038c81869208e0da208c26ce.pdf |
| _version_ | 1811291429240045568 |
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| author | Nasimeh Marvi Javad Haddadnia |
| author_facet | Nasimeh Marvi Javad Haddadnia |
| author_sort | Nasimeh Marvi |
| collection | DOAJ |
| description | Introduction: Substance abuse has become a significant health problem for individuals and society. This study aimed to investigate the effects of substance abuse on brain waves.Materials and Methods: Articles used were systematically searched in Google Scholar, Scopus, Thomson Reuters, ScienceDirect, PubMed, and IEEE databases. The result of this search was 420 articles. Keywords [Substance-Related Disorders MESH) AND (EEG MESH)], ["substance-related disorder" AND "EEG"], ["drug dependence" AND "EEG"], ["Substance abuse" AND "EEG"], ["Opioid" AND "EEG"], ["Cannabis" AND "EEG"] and ["Methamphetamine" AND "EEG"] were used for the search. After removing irrelevant and duplicate articles, we included 22 full-text articles in the study.Results: The articles examined the effects of substance abuse on brain waves with three approaches. The first approach is the event-related potentials technique. The second approach is to investigate the functional connections between different brain parts. The third approach analyzes EEG signals from various channels to select biomarkers to detect substance abuse.Conclusion: According to the present findings, it is suggested that policymakers and community health managers increase public awareness of the harms of substance abuse. Researchers in health should also discover and develop new diagnostic methods and treatment strategies according to the damage caused to the brain of substance abusers. |
| first_indexed | 2024-04-13T04:29:14Z |
| format | Article |
| id | doaj.art-1feae75bb0c74f19baebf93046516d81 |
| institution | Directory Open Access Journal |
| issn | 1028-6918 1684-4300 |
| language | English |
| last_indexed | 2024-04-13T04:29:14Z |
| publishDate | 2022-11-01 |
| publisher | Mashhad University of Medical Sciences |
| record_format | Article |
| series | Journal of Fundamentals of Mental Health |
| spelling | doaj.art-1feae75bb0c74f19baebf93046516d812022-12-22T03:02:22ZengMashhad University of Medical SciencesJournal of Fundamentals of Mental Health1028-69181684-43002022-11-0124636137010.22038/jfmh.2022.2141321413The quantification of the effect of substance abuse on brain behavior based on electroencephalogram signals: A comprehensive reviewNasimeh Marvi0Javad Haddadnia1Ph.D. student in medical engineering, Hakim Sabzevari University, Sabzevar, Iran.Assistant professor, Hakim Sabzevari University, Sabzevar, Iran.Introduction: Substance abuse has become a significant health problem for individuals and society. This study aimed to investigate the effects of substance abuse on brain waves.Materials and Methods: Articles used were systematically searched in Google Scholar, Scopus, Thomson Reuters, ScienceDirect, PubMed, and IEEE databases. The result of this search was 420 articles. Keywords [Substance-Related Disorders MESH) AND (EEG MESH)], ["substance-related disorder" AND "EEG"], ["drug dependence" AND "EEG"], ["Substance abuse" AND "EEG"], ["Opioid" AND "EEG"], ["Cannabis" AND "EEG"] and ["Methamphetamine" AND "EEG"] were used for the search. After removing irrelevant and duplicate articles, we included 22 full-text articles in the study.Results: The articles examined the effects of substance abuse on brain waves with three approaches. The first approach is the event-related potentials technique. The second approach is to investigate the functional connections between different brain parts. The third approach analyzes EEG signals from various channels to select biomarkers to detect substance abuse.Conclusion: According to the present findings, it is suggested that policymakers and community health managers increase public awareness of the harms of substance abuse. Researchers in health should also discover and develop new diagnostic methods and treatment strategies according to the damage caused to the brain of substance abusers.https://jfmh.mums.ac.ir/article_21413_fde9433b038c81869208e0da208c26ce.pdfbraindiagnosiselectroencephalogramsubstance abuse |
| spellingShingle | Nasimeh Marvi Javad Haddadnia The quantification of the effect of substance abuse on brain behavior based on electroencephalogram signals: A comprehensive review Journal of Fundamentals of Mental Health brain diagnosis electroencephalogram substance abuse |
| title | The quantification of the effect of substance abuse on brain behavior based on electroencephalogram signals: A comprehensive review |
| title_full | The quantification of the effect of substance abuse on brain behavior based on electroencephalogram signals: A comprehensive review |
| title_fullStr | The quantification of the effect of substance abuse on brain behavior based on electroencephalogram signals: A comprehensive review |
| title_full_unstemmed | The quantification of the effect of substance abuse on brain behavior based on electroencephalogram signals: A comprehensive review |
| title_short | The quantification of the effect of substance abuse on brain behavior based on electroencephalogram signals: A comprehensive review |
| title_sort | quantification of the effect of substance abuse on brain behavior based on electroencephalogram signals a comprehensive review |
| topic | brain diagnosis electroencephalogram substance abuse |
| url | https://jfmh.mums.ac.ir/article_21413_fde9433b038c81869208e0da208c26ce.pdf |
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