VALIDATION OF SCREENING MODELS OF EPILEPSY: A REVIEW

Ankita Tripathi, Shubham Srivastava, K. Bhardwaj, Sristi Raj, N. .
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Abstract

Epilepsy is a severe neurological illness characterized by abnormal, recurring, and synchronized brain discharges. Long-term recurring seizure attacks can cause substantial brain function loss, as seen in people with temporal lobe epilepsy. Controlling seizure events is critical for epilepsy therapy and prognosis. The disease is more common in developing countries than in developed countries. The causes of epilepsy include chemical imbalances such as low blood sugar or sodium, head injuries, drug abuse or withdrawal, alcohol withdrawal, stroke tumor affecting the blood vessels (vascular system) in the brain, hardening of the arteries (atherosclerosis) in the brain, brain tumours, and brain infections such as meningitis or encephalitis. Given the prevalence of epilepsy and the challenges associated with currently available antiepileptic medicines, such as side effects, resistance, safety concerns, and high cost, screening models are utilized in epilepsy analysis. Screening models for seizures and epilepsy have been critical in expanding our understanding of the fundamental mechanisms underlying ictogenesis and epileptogenesis, as well as in the discovery and preclinical development of novel antiepileptic medicines (AEDs). Diverse screening models of epilepsy have been developed in recent years to imitate various seizure forms, with no clear advantages or disadvantages. In this study, we will cover the numerous screening models for epilepsy, which will aid in gaining a better understanding of the disease.
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癫痫筛查模型的验证:综述
癫痫是一种严重的神经系统疾病,其特征是异常的、反复出现的和同步的脑放电。长期反复发作的癫痫发作会导致严重的脑功能丧失,就像颞叶癫痫患者一样。控制癫痫发作事件对癫痫治疗和预后至关重要。这种疾病在发展中国家比在发达国家更为常见。癫痫的病因包括化学失衡,如低血糖或钠、头部受伤、药物滥用或戒断、戒酒、影响大脑血管(血管系统)的中风肿瘤、大脑动脉硬化(动脉粥样硬化)、脑肿瘤和脑感染,如脑膜炎或脑炎。鉴于癫痫的流行以及与现有抗癫痫药物相关的挑战,如副作用、耐药性、安全性问题和高成本,筛查模型被用于癫痫分析。癫痫发作和癫痫的筛查模型对于扩大我们对icogenesis和epilepsy发生的基本机制的理解,以及对新型抗癫痫药物(aed)的发现和临床前开发至关重要。近年来开发了多种癫痫筛查模型来模拟各种发作形式,但没有明显的优缺点。在这项研究中,我们将涵盖众多的癫痫筛查模型,这将有助于更好地了解这种疾病。
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