Collaborative Research: Analysis and Control of Nonlinear Oscillatory Networks for the Design of Novel Cortical Stimulation Strategies

合作研究：用于设计新型皮质刺激策略的非线性振荡网络的分析和控制

• 批准号: 2308640
• 负责人: Jorge Cortes
• 金额: $ 30万
• 依托单位: University of California-San Diego
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-10-01 至 2026-09-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2308640&HistoricalAwards=false
• 关键词: Collaborative; Research; Analysis; Control; Nonlinear

An estimate of 1.2 percent of Americans have active epilepsy, and the annual cost for treating these cases is estimated at $12.5 billion. While brain stimulation is routinely used in clinical practice, stimulation signals and parameters are often applied and tuned empirically, and can be substantially improved by a quantitative model of the brain network dynamics. Indeed, in the human brain, function arises from complex dynamics between intricate and time-varying interconnection of dynamically rich neural components, and multiple neurological disorders are linked to disruptions of these network mechanisms. This project will develop new theories and tools to predict the onset and spreading of epileptic seizures and to inform the use of novel electrical brain stimulation strategies to treat neurological disorders. By constructing mathematical models that incorporate epileptic data and dynamical analysis, this work aims at uncovering the phenomena that underlie epileptic events and linking them to features of the anatomy of the brain. The intended outcome will be a novel theoretical basis to analyze and optimize practical noninvasive stimulation of brain networks. This project will also pursue educational initiatives at the graduate and undergraduate levels that will contribute to the growth of a large and diverse STEM workforce, outreach activities to engage the local community, and dissemination activities to promote multi-disciplinary approaches to problems in neuroscience.The project will develop novel methods to analyze the spreading of oscillations in complex networks and derive control mechanisms to regulate the spatiotemporal evolution of network dynamics, such as neurological oscillations. In particular, the research will aim to (i) characterize a novel set of dynamical biomarkers that explain qualitative changes in neurological recordings during epileptic events -- these biomarkers provide a quantitative link between the structure and parameters of nonlinear, networked, neural mass models and the features of epileptic recordings; (ii) reveal the structural properties that allow healthy, localized neural oscillations to cascade into brain-wide pathological seizures, and (iii) develop spatiotemporal control strategies to regulate the spreading of oscillatory dynamics over networks, which will provide a solid theoretical basis to analyze and optimize practical noninvasive brain stimulation. In addition to contributing to the fields of network control and dynamical systems, this project will also contribute to the integration of these disciplines with computational neuroscience and promote the translation of control-theoretic tools towards the design of novel, targeted, non-invasive, and highly effective treatments for neurological disorders.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

估计有1.2％的美国人患有癫痫病，治疗这些病例的年成本估计为125亿美元。虽然通常在临床实践中使用大脑刺激，但通常会通过经验地应用和调整刺激信号和参数，并且可以通过大脑网络动力学的定量模型来显着改善。实际上，在人的大脑中，功能源于动态富含神经成分的复杂和随时间变化之间的复杂动力学，多种神经系统疾病与这些网络机制的破坏有关。该项目将开发新的理论和工具，以预测癫痫发作的发作和传播，并告知新型电气脑刺激策略以治疗神经系统疾病。通过构建结合癫痫数据和动态分析的数学模型，这项工作旨在发现癫痫事件的基础的现象，并将其与大脑解剖学的特征联系起来。预期的结果将是一个新的理论基础，用于分析和优化对脑网络的实际无创刺激。该项目还将在研究生和本科层面上采取教育举措，这将有助于成长大型而多样化的STEM劳动力，宣传活动以吸引当地社区，以及传播活动，以促进神经科学中的问题的多学科方法。作为神经振荡。特别是，该研究的目的是（i）表征一组新型的动力学生物标志物，这些动态生物标志物可以解释癫痫事件期间神经记录的定性变化 - 这些生物标志物提供了非线性，网络，神经质量模型的结构和参数之间的定量联系，而神经质量模型和需要次癫痫记录的特征； （ii）揭示了允许健康的，局部的神经振荡级联到大脑范围的病理癫痫发作中的结构特性，并且（iii）开发时空控制策略，以调节振荡动态在网络上的扩散，这将提供固体理论基础，以分析和优化实用的非侵入性非侵入性大脑刺激。 In addition to contributing to the fields of network control and dynamical systems, this project will also contribute to the integration of these disciplines with computational neuroscience and promote the translation of control-theoretic tools towards the design of novel, targeted, non-invasive, and highly effective treatments for neurological disorders.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts审查标准。