PECASE: Modeling and Control of Neuronal Networks
PECASE:神经元网络的建模和控制
基本信息
- 批准号:1055560
- 负责人:
- 金额:$ 40万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2011
- 资助国家:美国
- 起止时间:2011-03-01 至 2017-02-28
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Objective: The proposed CAREER program involves modeling and control of neuronal networks in the brain and its application to the treatment of Parkinson?s disease (PD) using deep brain stimulation (DBS). Specific objectives are to: (i) construct a general approach for modeling complex neuronal networks where interactions occur between different brain nuclei, (ii) design computationally efficient control strategies for such networks, and (iii) apply these methodologies to the problem of restoring pathological network dynamics arising from PD with DBS. Success of the program will fundamentally impact the interface between control systems and neuroscience and create new opportunities for medical treatment of neurological disorders. Intellectual Merit: The work introduces a systems theoretic framework to (i) understand electrophysiology and pathophysiology of neuronal networks and the impact of DBS control, and (ii) design and explore new DBS strategies to treat PD with extensive simulation before experimenting on animals and translating to patients. The modeling framework will eventually lead to safer and potentially more therapeutic DBS for PD. The ultimate vision is to apply this transformative methodology to other neurological disorders (Dystonia, Depression, Obsessive Compulsive Disorders), impacting millions of patients worldwide. Broader Impact: The proposed plan will also impact education at all levels. It includes developing a new course for senior undergraduate and graduate students on modeling and DBS control of neural systems, and reaching out to women of all ages with unique workshops and internship opportunities. Finally, engineering students will be given the opportunity to perform electrophysiological experiments with collaborator at the Cleveland Clinic.
目的:提出的CAREER项目涉及大脑神经元网络的建模和控制及其在帕金森病治疗中的应用。使用深部脑刺激(DBS)治疗帕金森病(PD)。具体目标是:(i)构建一种通用的方法来模拟不同脑核之间发生相互作用的复杂神经元网络,(ii)为这些网络设计计算效率高的控制策略,以及(iii)将这些方法应用于恢复PD与DBS引起的病理网络动态的问题。该计划的成功将从根本上影响控制系统和神经科学之间的接口,并为神经系统疾病的医学治疗创造新的机会。智力优势:该工作引入了一个系统理论框架,以(i)了解神经元网络的电生理学和病理生理学以及DBS控制的影响,以及(ii)在动物实验和转化为患者之前,设计和探索新的DBS策略来治疗PD。该模型框架将最终导致更安全、更有治疗潜力的PD DBS。最终的愿景是将这种变革性的方法应用于其他神经系统疾病(肌张力障碍、抑郁症、强迫症),影响全球数百万患者。更广泛的影响:拟议的计划还将影响各级教育。它包括为大四本科生和研究生开发一门关于神经系统建模和DBS控制的新课程,并为所有年龄段的女性提供独特的研讨会和实习机会。最后,工科学生将有机会与克利夫兰诊所的合作者一起进行电生理实验。
项目成果
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Sridevi Sarma其他文献
164. Linking Demographics, Geographics, and Social Media to Depression in College Students
164. 将人口统计学、地理学和社交媒体与大学生的抑郁症联系起来
- DOI:
10.1016/j.biopsych.2025.02.401 - 发表时间:
2025-05-01 - 期刊:
- 影响因子:9.000
- 作者:
Nisa Naik;Cailyn Chien;Sridevi Sarma - 通讯作者:
Sridevi Sarma
Sridevi Sarma的其他文献
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{{ truncateString('Sridevi Sarma', 18)}}的其他基金
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- 批准号:
2031195 - 财政年份:2020
- 资助金额:
$ 40万 - 项目类别:
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A Modeling and Control Framework for Early Detection of Adverse Clinical States
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1609038 - 财政年份:2016
- 资助金额:
$ 40万 - 项目类别:
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EFRI-M3C: Robust Decoder-Compensator Architecture for Interactive Control of High-Speed and Loaded Movements
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1137237 - 财政年份:2011
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0441316 - 财政年份:2005
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$ 40万 - 项目类别:
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