Lisgaras Christos Panagiotis, Staba Richard J, de la Prida Liset M
Department of Psychiatry, New York University Grossman School of Medicine, New York, NY, USA.
Center for Dementia Research, The Nathan S. Kline Institute for Psychiatric Research, New York State Office of Mental Health, Orangeburg, NY, USA.
Epilepsy Curr. 2025 Jun 9:15357597251336792. doi: 10.1177/15357597251336792.
High frequency oscillations (HFOs) are being incorporated into the presurgical evaluation of patients with epilepsy and also represent a rapidly evolving field in basic epilepsy research. Animal models have been pivotal in uncovering the mechanisms underlying HFOs and their role in epilepsy. In this review, we provide an overview of HFOs recorded in animal models, highlighting their relevance not only to epilepsy but also to neuropsychiatric and Alzheimer's diseases, suggesting a broader role in brain disorders. Then we explore recent advances, including innovative computational methods for the automated detection and analysis of HFOs. Building on this analysis, we propose guidelines for HFO identification and reporting with translational potential from animal models to humans. Finally, we discuss existing knowledge gaps and outline future directions for research in this rapidly evolving field.
高频振荡（HFOs）正被纳入癫痫患者的术前评估，并且在癫痫基础研究领域也代表着一个快速发展的方向。动物模型在揭示HFOs的潜在机制及其在癫痫中的作用方面发挥了关键作用。在这篇综述中，我们概述了在动物模型中记录到的HFOs，强调了它们不仅与癫痫相关，还与神经精神疾病和阿尔茨海默病相关，表明其在脑部疾病中具有更广泛的作用。然后，我们探讨了近期的进展，包括用于HFOs自动检测和分析的创新计算方法。基于这一分析，我们提出了HFO识别和报告的指南，这些指南具有从动物模型向人类转化的潜力。最后，我们讨论了现有的知识空白，并概述了这个快速发展领域未来的研究方向。
