Brain and Human Body Modeling Conference – from Fast and Accurate Computational Modeling to Clinical Practice

脑与人体建模会议——从快速准确的计算建模到临床实践

基本信息

批准号：
10468200
负责人：
Sergey N Makaroff
金额：
$ 1万
依托单位：
WORCESTER POLYTECHNIC INSTITUTE
依托单位国家：
美国
项目类别：
财政年份：
2021
资助国家：
美国
起止时间：
2021-08-11 至 2023-06-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10468200
关键词：
Alzheimer&apos s Disease Brain Brain Neoplasms Clinical Research Computer Models Computing Methodologies Deep Brain Stimulation Development Diagnostic Discipline Distant Dose Dystonia Electric Stimulation Electricity Electrodes Electroencephalography Electromagnetics Employment Essential Tremor Flowers Future Head Human Human body Implanted Electrodes Investigation Link Magnetic Resonance Imaging Magnetoencephalography Major Depressive Disorder Mathematics Measurement Measures Mental Depression Mental disorders Methods Mission Modality Modeling Modernization Monitor National Institute of Mental Health Neurosciences Parkinson Disease Pathologic Patients Persons Physiologic pulse Privatization Resolution Safety Scalp structure Signal Transduction Techniques Transcranial magnetic stimulation clinical practice computerized tools cost design effective therapy electric field electrical potential improved interest magnetic field neurophysiology neuroregulation noninvasive brain stimulation portability relating to nervous system research clinical testing side effect standard care symposium tool training opportunity voltage

项目摘要

ABSTRACT Brain stimulation therapies are important and effective treatments for people with depression and other mental disorders. The National Institute of Mental Health (NIMH) is supporting studies exploring how to make brain stimulation therapies more personalized and effective while reducing side effects. For all brain stimulation modalities, computational numerical modeling of the electric fields within a patient-specific head model is the leading and most promising way to develop improved spatial targeting methods and quantitatively determine the required stimulation dose. Similarly, neurophysiological signal analyses require extensive numerical computational modeling to identify active cortical domains from limited electrode voltage and magnetometer measurements. The present proposal will facilitate development of fast and accurate brain and human body modeling methods and techniques via a dedicated computational conference on Brain and Human Body Modeling. Aligned with NIMH’s mission, the specific aims of this proposal and the major technical focus of the conference will include the following: (i) Computational modeling of electric and magnetic fields within the brain targeting neurostimulation modalities (TMS, TES, DBS) and associated neurophysiological recordings (EEG, iEEG, MEG); (ii) Integration of modeling techniques into clinical practice. These modeling techniques are aimed to provide better focality, targeting accuracy, and improve the overall efficiency of the brain stimulation methods. They will also support promising combinations and derivatives of the neuromodulation and neurophysiological recordings such as TMS-EEG and TES-EEG. No established computational methods for modeling these combined modalities currently exist. The conference will include related topics that share very similar, sometimes identical, computational methods and tools. We aim to synergistically share these computational tools for maximal benefit and to facilitate interactions across disciplines.

抽象的大脑刺激疗法是抑郁症患者和其他精神的重要疗法疾病。美国国家心理健康研究所（NIMH）正在支持研究，以探索如何使大脑刺激疗法在减少副作用的同时更具个性化和有效性。对于所有大脑刺激在患者特定头部模型中电场的模式，计算数值建模是开发改进的空间靶向方法并定量确定的领先和最有前途的方法所需的刺激剂量。同样，神经生理信号分析需要广泛的数值计算建模以识别有限电极电压和磁力计的活性皮质结构域测量。本提案将有助于开发快速准确的大脑和人体建模方法和技术通过专门的有关大脑和人体建模的计算会议。与 NIMH的使命，该提案的具体目标以及会议的主要技术重点将包括下列：（i）靶向神经刺激的大脑内电场和磁场的计算建模模态（TMS，TES，DB）和相关的神经生理记录（EEG，IEEG，MEG）；（ii）将建模技术集成到临床实践中。这些建模技术旨在提供更好的焦点，靶向准确性并提高整体大脑刺激方法的效率。他们还将支持有希望的组合和衍生物神经调节和神经生理记录，例如TMS-EEG和TES-EEG。没有建立目前存在用于建模这些组合方式的计算方法。会议将包括共享非常相似（有时相同的计算方法）的相关主题和工具。我们旨在协同分享这些计算工具，以最大程度地利益并促进跨学科的互动。