US-German Research Proposal: Collaborative Research: Optimization of Human Cortical Stimulation
美德研究提案:合作研究:人类皮质刺激的优化
基本信息
- 批准号:1515168
- 负责人:
- 金额:$ 25.01万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2015
- 资助国家:美国
- 起止时间:2015-09-01 至 2019-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Electrical stimulation of the surface of the brain is used to map functions, such as hand movement. This stimulation is vital for both brain research and patient care. Better methods are needed to precisely direct the electrical current on the brain surface. Precise stimulation will help research in restoring damage after neurological injury. Stimulation and recording from the brain surface have also been used to study memory and attention processes. Research in the development of neuro-prosthetics and the study of how the brain interacts with brain-controlled devices may also benefit from more precise stimulation. This project uses advanced computer modeling to determine better ways of stimulating the brain. One can predict where the stimulation will go based on these models. It will be tested whether using these models can precisely steer the stimulation to target specific brain functions.This US-German collaborative project combines expertise from the University of Washington (PI: J. Ojemann, Neurosurgery), Northeastern University (D. Brooks, Electrical Engineering), the University of Utah (R. McLeod, Center for Integrative Biomedical Computing) and, in Germany, the University of Freiburg (T. Ball, Computational Neuroscience and Neurotechnology). The optimization protocols developed at Northwestern and Utah can predict the distribution of current delivery, which will be validated in a sheep model and subsequently used to predict current delivery in human data. For instance, complex geometries of brain surface (electrocorticography) electrodes may give varying patterns of current across the brain. By using simultaneous stimulation and recording data from the cortical surface (in either sheep or human brain in vivo), the model and optimization algorithms can be assessed. Successful methods for "current steering" would be applicable across a broad range of research and patient care applications in neuroscience.A companion project is being funded by the German Ministry of Education and Research (BMBF).
大脑表面的电刺激被用来映射功能,如手部运动。这种刺激对大脑研究和病人护理都至关重要。 需要更好的方法来精确地将电流引导到大脑表面。精确的刺激将有助于神经损伤后恢复损伤的研究。来自大脑表面的刺激和记录也被用于研究记忆和注意力过程。 神经修复术的发展以及大脑如何与脑控设备相互作用的研究也可能受益于更精确的刺激。该项目使用先进的计算机建模来确定刺激大脑的更好方法。 人们可以根据这些模型预测刺激的去向。将测试使用这些模型是否可以精确地引导刺激以针对特定的大脑功能。这个美德合作项目结合了华盛顿大学(PI:J. Ojemann,神经外科)、东北大学(D.布鲁克斯,电气工程),犹他州大学(R。McLeod,Center for Integrative Biomedical Computing)和德国的弗赖堡大学(T. Ball,Computational Neuroscience and Neurotechnology)。 在西北大学和犹他州开发的优化方案可以预测电流输送的分布,这将在绵羊模型中得到验证,随后用于预测人类数据中的电流输送。 例如,大脑表面(皮层电图)电极的复杂几何形状可能会在大脑中产生不同的电流模式。 通过使用同时刺激和记录来自皮质表面的数据(在体内的绵羊或人脑中),可以评估模型和优化算法。成功的“电流导向”方法将适用于神经科学中广泛的研究和患者护理应用。一个配套项目正在由德国教育和研究部(BMBF)资助。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Dana Brooks其他文献
Efficient optimization of transcranial temporal interference stimulation (tTIS)
- DOI:
10.1016/j.brs.2023.01.075 - 发表时间:
2023-01-01 - 期刊:
- 影响因子:
- 作者:
Sumientra Rampersad;Biel Roig-Solvas;Mathew Yarossi;Alan Dorval;Dana Brooks - 通讯作者:
Dana Brooks
Multi-muscle TMS mapping using subject-specific FEA models of induced currents
- DOI:
10.1016/j.brs.2017.04.032 - 发表时间:
2017-07-01 - 期刊:
- 影响因子:
- 作者:
Mathew Yarossi;Moritz Dannhauer;Deniz Erdogmus;Dana Brooks;Eugene Tunik - 通讯作者:
Eugene Tunik
OPTISTIM – Combining computational neuroscience and electrophysiology for optimal cortical electric stimulation
- DOI:
10.1016/j.brs.2017.04.038 - 发表时间:
2017-07-01 - 期刊:
- 影响因子:
- 作者:
Moritz Dannhauer;Alexis Gkogkidis;Seyhmus Guler;Kimia Shayestehfard;Rob MacLeod;Tonio Ball;Jeff Ojemann;Dana Brooks - 通讯作者:
Dana Brooks
Modeling and optimization of transcranial temporal interference stimulation
经颅时间干涉刺激的建模与优化
- DOI:
10.1016/j.brs.2024.12.357 - 发表时间:
2025-01-01 - 期刊:
- 影响因子:8.400
- 作者:
Sumientra Rampersad;Armin Moharrer;Mathew Yarossi;Chuck Dorval;Dana Brooks - 通讯作者:
Dana Brooks
Validating multisource current steering in intracranial stereotactic depth electrodes
- DOI:
10.1016/j.brs.2023.01.755 - 发表时间:
2023-01-01 - 期刊:
- 影响因子:
- 作者:
Kurt Weaver;Sumientra Rampersad;Chantel Marie Charlebois;Tyler Davis;Courtnie Paschall;Jeff Herron;Andrew Ko;Dana Brooks;Jeff Ojemann;John Rolston;Chuck Dorval - 通讯作者:
Chuck Dorval
Dana Brooks的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Dana Brooks', 18)}}的其他基金
Collaborative Research: CI-P: Computationally-enhanced optical imaging infrastructure
合作研究:CI-P:计算增强光学成像基础设施
- 批准号:
1059316 - 财政年份:2011
- 资助金额:
$ 25.01万 - 项目类别:
Standard Grant
Collaborative Research: Monolithic Optoelectronic Integrated Circuits for Biomedical Sensing Applications
合作研究:用于生物医学传感应用的单片光电集成电路
- 批准号:
0118225 - 财政年份:2001
- 资助金额:
$ 25.01万 - 项目类别:
Standard Grant
Signal Processing with Realistic Constraints for the InverseProblem of Electrocardiography
心电图逆问题的具有现实约束的信号处理
- 批准号:
9309359 - 财政年份:1993
- 资助金额:
$ 25.01万 - 项目类别:
Standard Grant
相似海外基金
CRCNS US-German Collaborative Research Proposal: Neural and computational mechanisms of flexible goal-directed decision making
CRCNS 美德合作研究提案:灵活目标导向决策的神经和计算机制
- 批准号:
2309022 - 财政年份:2024
- 资助金额:
$ 25.01万 - 项目类别:
Standard Grant
CRCNS US-German Research Proposal - The diversification of retinal ganglion cells: A combined transcriptomic, genome engineering and imaging approach
CRCNS 美国-德国研究提案 - 视网膜神经节细胞的多样化:转录组学、基因组工程和成像相结合的方法
- 批准号:
2309039 - 财政年份:2023
- 资助金额:
$ 25.01万 - 项目类别:
Standard Grant
CRCNS US-German Research Proposal: Quantitative and Computational Dissection of Glutamatergic Crosstalk at Tripartite Synapses
CRCNS 美德研究提案:三方突触谷氨酸能串扰的定量和计算剖析
- 批准号:
10612169 - 财政年份:2023
- 资助金额:
$ 25.01万 - 项目类别:
CRCNS US-German Research Proposal: Combining computational modeling and artificial intelligence to understand receptor function in physiology and disease
CRCNS 美德研究提案:结合计算模型和人工智能来了解生理学和疾病中的受体功能
- 批准号:
2113030 - 财政年份:2022
- 资助金额:
$ 25.01万 - 项目类别:
Standard Grant
Collaborative research: IRES Track I: US-German Research on Human-Automation Interaction for the Future of Work
合作研究:IRES 第一轨:美德关于未来工作的人机交互研究
- 批准号:
2153695 - 财政年份:2022
- 资助金额:
$ 25.01万 - 项目类别:
Standard Grant
CRCNS US-German Research Proposal: Computational modeling and real-time visualization of microscale-forces-induced neurovascular unit permeability
CRCNS 美德研究提案:微尺度力诱导的神经血管单元渗透性的计算建模和实时可视化
- 批准号:
2207804 - 财政年份:2022
- 资助金额:
$ 25.01万 - 项目类别:
Continuing Grant
CRCNS US-German Research Proposal: Efficient representations of social knowledge structures for learning from a computational, neural and psychiatric perspective (RepSocKnow)
CRCNS 美德研究提案:从计算、神经和精神病学角度学习的社会知识结构的有效表示 (RepSocKnow)
- 批准号:
10688109 - 财政年份:2022
- 资助金额:
$ 25.01万 - 项目类别:
CRCNS US-German Research Proposal: Efficient representations of social knowledge structures for learning from a computational, neural and psychiatric perspective (RepSocKnow)
CRCNS 美德研究提案:从计算、神经和精神病学角度学习的社会知识结构的有效表示 (RepSocKnow)
- 批准号:
10612154 - 财政年份:2022
- 资助金额:
$ 25.01万 - 项目类别:
CRCNS Research Proposal: Collaborative Research: US-German Collaboration toward a biophysically principled network model of transcranial magnetic stimulation (TMS)
CRCNS 研究提案:合作研究:美德合作建立经颅磁刺激 (TMS) 的生物物理原理网络模型
- 批准号:
10610594 - 财政年份:2022
- 资助金额:
$ 25.01万 - 项目类别:
Collaborative Research: US-German Research on Human-Automation Interaction for the Future of Work
合作研究:美德关于未来工作的人机交互研究
- 批准号:
2153676 - 财政年份:2022
- 资助金额:
$ 25.01万 - 项目类别:
Standard Grant