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Li M, Tang Z, Yu L, Li Y, Ma W, Li J, Li G, Xiong L, Lei N, Guo P, Xie Y. The arousal effect of An-Gong-Niu-Huang-Wan on alcoholic-induced coma rats: A research based on EEG. JOURNAL OF ETHNOPHARMACOLOGY 2024; 328:117974. [PMID: 38467317 DOI: 10.1016/j.jep.2024.117974] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Revised: 02/19/2024] [Accepted: 02/22/2024] [Indexed: 03/13/2024]
Abstract
ETHNOPHARMACOLOGICAL RELEVANCE Acute alcohol intoxication is one of the leading causes of coma. A well-regarded Chinese herbal formula, known as An-Gong-Niu-Huang-Wan (AGNHW), has garnered recognition for its efficacy in treating various brain disorders associated with impaired consciousness, including acute alcohol-induced coma. Despite its clinical effectiveness, the scientific community lacks comprehensive research on the mechanistic aspects of AGNHW's impact on the electroencephalogram (EEG) patterns observed during alcohol-induced coma. Gaining a deeper understanding of AGNHW's mechanism of action in relation to EEG characteristics would hold immense importance, serving as a solid foundation for further advancing its clinical therapeutic application. AIM OF THE STUDY The study sought to investigate the impact of AGNHW on EEG activity and sleep EEG patterns in rats with alcoholic-induced coma. MATERIALS AND METHODS A rat model of alcohol-induced coma was used to examine the effects of AGNHW on EEG patterns. Male Sprague-Dawley rats were intraperitoneally injected with 32% ethanol to induce a coma, followed by treatment with AGNHW. Wireless electrodes were implanted in the cortex of the rats to obtain EEG signals. Our analysis focused on evaluating alterations in the Rat Coma Scale (RCS), as well as assessing changes in the frequency and distribution of EEG patterns, sleep rhythms, and body temperature subsequent to AGNHW treatment. RESULTS The study found a significant increase in the δ-band power ratio, as well as a decrease in RCS scores and β-band power ratio after modeling. AGNHW treatment significantly reduced the δ-band power ratio and increased the β-band power ratio compared to naloxone, suggesting its superior arousal effects. The results also revealed a decrease in the time proportion of WAKE and REM EEG patterns after modeling, accompanied by a significant increase in the time proportion of NREM EEG patterns. Both naloxone and AGNHW effectively counteracted the disordered sleep EEG patterns. Additionally, AGNHW was more effective than naloxone in improving hypothermia caused by acute alcohol poisoning in rats. CONCLUSION Our study provides evidence for the arousal effects of AGNHW in alcohol-induced coma rats. It also suggests a potential role for AGNHW in regulating post-comatose sleep rhythm disorders.
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Affiliation(s)
- Minghong Li
- Basic Medical School, Yunnan University of Chinese Medicine, Kunming, 650500, China
| | - Zilei Tang
- College of Traditional Chinese Medicine, Yunnan University of Chinese Medicine, Kunming, 650500, China
| | - Liuyan Yu
- College of Traditional Chinese Medicine, Yunnan University of Chinese Medicine, Kunming, 650500, China
| | - Yingming Li
- College of Traditional Chinese Medicine, Yunnan University of Chinese Medicine, Kunming, 650500, China
| | - Wenyu Ma
- College of Traditional Chinese Medicine, Yunnan University of Chinese Medicine, Kunming, 650500, China
| | - Jincun Li
- College of Traditional Chinese Medicine, Yunnan University of Chinese Medicine, Kunming, 650500, China
| | - Gang Li
- Basic Medical School, Yunnan University of Chinese Medicine, Kunming, 650500, China; Yunnan Provincial University Key Laboratory of Aromatic Chinese Herb Research, Kunming, 650500, China
| | - Lei Xiong
- School of Clinical Medicine, Yunnan University of Chinese Medicine, Kunming, 650500, China; Yunnan Provincial University Key Laboratory of Aromatic Chinese Herb Research, Kunming, 650500, China; Yunnan Innovation Team of Application Research on Traditional Chinese Medicine Theory of Disease Prevention at Yunnan University of Chinese Medicine, Kunming, 650500, China
| | - Na Lei
- Basic Medical School, Yunnan University of Chinese Medicine, Kunming, 650500, China.
| | - Peixin Guo
- College of Ethnic Medicine, Yunnan University of Chinese Medicine, Kunming, 650500, China; Yunnan Innovation Team of Application Research on Traditional Chinese Medicine Theory of Disease Prevention at Yunnan University of Chinese Medicine, Kunming, 650500, China.
| | - Yuhuan Xie
- Yunnan Provincial University Key Laboratory of Aromatic Chinese Herb Research, Kunming, 650500, China; Yunnan Innovation Team of Application Research on Traditional Chinese Medicine Theory of Disease Prevention at Yunnan University of Chinese Medicine, Kunming, 650500, China.
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Ismail FY, Saleem GT, Ljubisavljevic MR. Brain Data in Pediatric Disorders of Consciousness: Special Considerations. J Clin Neurophysiol 2022; 39:49-58. [PMID: 34474425 DOI: 10.1097/wnp.0000000000000772] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
SUMMARY The diagnosis and management of disorders of consciousness in children continue to present a clinical, research, and ethical challenge. Though the practice guidelines for diagnosis and management of disorders of consciousness in adults are supported by decades of empirical and pragmatic evidence, similar guidelines for infants and children are lacking. The maturing conscious experience and the limited behavioral repertoire to report consciousness in this age group restrict extrapolation from the adult literature. Equally challenging is the process of heightened structural and functional neuroplasticity in the developing brain, which adds a layer of complexity to the investigation of the neural correlates of consciousness in infants and children. This review discusses the clinical assessment of pediatric disorders of consciousness and delineates the diagnostic and prognostic utility of neurophysiological and neuroimaging correlates of consciousness. The potential relevance of these correlates for the developing brain based on existing theoretical models of consciousness in adults is outlined.
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Affiliation(s)
- Fatima Y Ismail
- Department of Pediatrics, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates
- Department of Neurology (Adjunct), Johns Hopkins School of Medicine, Baltimore, Maryland, U.S.A
| | - Ghazala T Saleem
- Department of Rehabilitation Science, School of Public Health and Health Professions, State University of New York at Buffalo, Buffalo, New York, U.S.A.; and
| | - Milos R Ljubisavljevic
- Department of Physiology, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates
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Herigstad A, Stefansdottir S, Aurlien H. [EEG--when and how?]. TIDSSKRIFT FOR DEN NORSKE LEGEFORENING 2013; 133:48-52. [PMID: 23306995 DOI: 10.4045/tidsskr.12.0087] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022] Open
Abstract
BACKGROUND Electroencephalography (EEG) is used for studying functional disorders of the brain. We provide an overview of the areas where EEG is most strongly indicated and the clinical benefit of the examination. METHOD This article is based on articles from personal literature archives and literature searches in PubMed, textbook on methods in clinical neurophysiology, the work of one of the authors on a new European standard for EEG and the authors' clinical experience. RESULTS EEG is primarily indicated for assessing suspected epileptic seizures and encephalopathies. Standard EEG, sleep-deprived EEG and long-term EEG examinations are used in diagnosing epilepsy. EEG will identify epileptiform activity in about 90% of patients with epilepsy. Epileptiform EEG activity in these patients will provide support for the diagnosis of epilepsy, while the absence of such activity will not exclude the diagnosis. EEG is also important for classifying the type of epileptic syndrome. In cases of encephalopathy, pathology will take the form of an increase in slow activity on the EEG and will support the diagnosis, but as a rule the EEG finding is non-specific. Findings in some cases may point to the underlying aetiology. INTERPRETATION Electroencephalograms must be interpreted by an experienced clinical neurophysiologist or neurologist with specialist expertise in EEG interpretation, and must always be evaluated in the light of the clinical picture.
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Affiliation(s)
- Anita Herigstad
- Seksjon for klinisk nevrofysiologi, Nevrosenter, Stavanger universitetssjukehus, Norway.
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