Mean field modelling of human EEG: Application to Epilepsy Seizure Prediction

人类脑电图平均场建模：在癫痫发作预测中的应用

• 批准号: EP/D068436/1
• 负责人: John Terry
• 金额: $ 28.34万
• 依托单位: University of Bristol
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2006
• 资助国家: 英国
• 起止时间: 2006 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FD068436%2F1
• 关键词: Mean; field; modelling; human; EEG

Epilepsy is one of the most common neurological disorders to afflict human beings. Almost every member of the public knows, either directly or indirectly, someone who has epilepsy of some description. The aim of the proposed research is to use mathematical modelling and analysis to develop an algorithm which is capable of predicting the onset of epileptic activity via analysis of electrical signals recorded from the brain of the patient. The project will consist of developing a mathematical model that is capable of reproducing the types of dynamics observed in clinical data and using these models, the project team will develop an understanding of how healthy states become seizure states and use this knowledge to develop algorithms that can extract this information from clinical data sets recorded at the Centre for Epilepsy at King's College Hospital in Denmark Hill, London. The project is an exciting collaboration between mathematicians and clinicians which will lead to a better understanding and possible treatment of a debilitating medical condition.

癫痫是困扰人类最常见的神经系统疾病之一。几乎每个人都知道，直接或间接地，有人患有某种描述的癫痫。拟议研究的目的是使用数学建模和分析来开发一种算法，该算法能够通过分析从患者大脑记录的电信号来预测癫痫活动的发作。该项目将包括开发一个数学模型，该模型能够再现临床数据中观察到的动态类型，并使用这些模型，项目团队将了解健康状态如何成为癫痫发作状态，并使用这些知识开发算法，可以从伦敦丹麦希尔国王学院医院癫痫中心记录的临床数据集中提取这些信息。该项目是数学家和临床医生之间令人兴奋的合作，这将导致更好地理解和可能的治疗衰弱的医疗条件。

项目成果

A method for detecting false bifurcations in dynamical systems: application to neural-field models.

一种检测动态系统中假分叉的方法：在神经场模型中的应用。

• DOI: 10.1007/s00422-009-0357-y
• 发表时间: 2010
• 期刊: Biological cybernetics
• 影响因子: 1.9
• 作者: Rodrigues S

Mappings between a macroscopic neural-mass model and a reduced conductance-based model.

宏观神经质量模型和基于简化电导的模型之间的映射。

• DOI: 10.1007/s00422-010-0372-z
• 发表时间: 2010
• 期刊: Biological cybernetics
• 影响因子: 1.9
• 作者: Rodrigues S

Transition to absence seizures and the role of GABA(A) receptors.

• DOI: 10.1016/j.eplepsyres.2011.07.011
• 发表时间: 2011-12
• 期刊: EPILEPSY RESEARCH
• 影响因子: 2.2
• 作者: Crunelli, Vincenzo;Cope, David W.;Terry, John R.
• 通讯作者: Terry, John R.