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SUDEP 模型面临的挑战和未来发展方向。

Challenges and future directions of SUDEP models.

机构信息

Department of Anesthesiology, the Fourth Clinical School of Medicine, Zhejiang Chinese Medical University, Hangzhou, China.

Department of Anesthesiology, Zhejiang University School of Medicine, Hangzhou, China.

出版信息

Lab Anim (NY). 2024 Sep;53(9):226-243. doi: 10.1038/s41684-024-01426-y. Epub 2024 Aug 26.

Abstract

Sudden unexpected death in epilepsy (SUDEP) is the leading cause of death among patients with epilepsy, causing a global public health burden. The underlying mechanisms of SUDEP remain elusive, and effective prevention or treatment strategies require further investigation. A major challenge in current SUDEP research is the lack of an ideal model that maximally mimics the human condition. Animal models are important for revealing the potential pathogenesis of SUDEP and preventing its occurrence; however, they have potential limitations due to species differences that prevent them from precisely replicating the intricate physiological and pathological processes of human disease. This Review provides a comprehensive overview of several available SUDEP animal models, highlighting their pros and cons. More importantly, we further propose the establishment of an ideal model based on brain-computer interfaces and artificial intelligence, hoping to offer new insights into potential advancements in SUDEP research. In doing so, we hope to provide valuable information for SUDEP researchers, offer new insights into the pathogenesis of SUDEP and open new avenues for the development of strategies to prevent SUDEP.

摘要

癫痫猝死症(SUDEP)是癫痫患者死亡的主要原因,给全球公共卫生带来了负担。SUDEP 的潜在机制仍难以捉摸,需要进一步研究有效的预防或治疗策略。目前 SUDEP 研究的主要挑战是缺乏最大限度模拟人体状况的理想模型。动物模型对于揭示 SUDEP 的潜在发病机制和预防其发生非常重要;然而,由于物种差异,它们存在潜在的局限性,无法精确复制人类疾病复杂的生理和病理过程。本综述全面概述了几种现有的 SUDEP 动物模型,强调了它们的优缺点。更重要的是,我们进一步提出了基于脑机接口和人工智能的理想模型的建立,希望为 SUDEP 研究的潜在进展提供新的见解。通过这样做,我们希望为 SUDEP 研究人员提供有价值的信息,深入了解 SUDEP 的发病机制,并为预防 SUDEP 的策略的制定开辟新的途径。

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