An open software solution to integrate non-invasive brain stimulation with functional imaging data

将非侵入性脑刺激与功能成像数据集成的开放软件解决方案

基本信息

批准号：
9793745
负责人：
Alexander Opitz
金额：
$ 136.48万
依托单位：
UNIVERSITY OF MINNESOTA
依托单位国家：
美国
项目类别：
财政年份：
2019
资助国家：
美国
起止时间：
2019-09-01 至 2023-08-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/9793745
关键词：
Accounting Affect Anatomy Anisotropy Area Atlases BRAIN initiative Brain Brain region Cerebrospinal Fluid Clinical Clinical Research Computer software Data Electrodes Electroencephalography Elements Environment Foundations Functional Imaging Functional Magnetic Resonance Imaging Funding Geometry Goals Grant Head Human Image Image Analysis Imagery Individual Individual Differences Intervention Location Maps Measures Methods Modality Modeling Network-based Neuroanatomy Neuronavigation Neurosciences Painless Participant Physiological Positioning Attribute Process Protocols documentation Research Research Personnel Rest Safety Service delivery model Software Tools Structure System Systems Development Techniques Thick Transcranial magnetic stimulation Work base cloud based comparative computational platform cranium electric field in vivo neuroimaging nonhuman primate novel open source personalized predictions relating to nervous system research study response simulation software as a service tool usability white matter

项目摘要

Abstract Noninvasive tools capable of selectively manipulating neural systems in the human brain are needed to advance our neuroscientific understanding of brain function and develop novel non-pharmacologic psychotherapeutics and are a major focus of Brain Initiative funding. Transcranial magnetic stimulation (TMS), transcranial direct current stimulation (tDCS) and transcranial alternating current stimulation (tACS) modulate neural activity based on inducing electric fields in the brain. These electric field distributions can be numerically computed using the finite element method (FEM) in realistic head models. However, the use of such models to target specific functional networks is hampered due to the lack of an integrated analysis platform combining the FEM and functional imaging analysis with direct interfaces to neuronavigation packages. We propose to promote the widespread use of FEM modeling in research and clinical environments through extending and scaling SimNIBS (`Simulation of Non-Invasive Brain Stimulation') - the leading open source software platform for generating FEM-based models of the electric field distribution produced by TMS, tDCS or tACS. First, we propose to extend SimNIBS by creating direct interfaces with commercial neuronavigation systems and creating a containerized version for use in the cloud. Second, we aim to extend SimNIBS by developing a module for integrating functional network maps generated with resting state functional MRI to enable the optimization of targeting based on individualized predicted network profiles. Finally, we will create a non-human primate (NHP) SimNIBS module to allow for the processing of NHP data facilitating translational and comparative neuroscience goals of the BRAIN Initiative.

抽象的需要能够选择性操纵人脑中神经系统的无创工具才能提高我们对脑功能的神经科学理解并发展出新颖的非药物心理治疗学是大脑倡议资金的主要重点。经颅磁刺激（TMS），经颅直流电流刺激（TDC）和经颅交流电流刺激（TACS）根据诱导大脑的电场调节神经活动。这些电场分布可以在现实的头部模型中使用有限元方法（FEM）对数值计算。但是，由于缺乏集成分析平台将FEM和功能成像分析与直接接口相结合到神经巡航包。我们建议促进在研究和临床环境中广泛使用FEM模型通过扩展和缩放Simnibs（“非侵入性脑刺激的模拟”） - 领先的开放用于生成基于FEM的电场分布模型的源软件平台 TMS，TDC或TACS。首先，我们建议通过与商业的直接接口来扩展SIMNIBS 神经巡航系统并创建一个容器化版本，以便在云中使用。第二，我们的目标是通过开发一个用于集成与休息生成的功能网络图的模块来扩展SIMNIB 状态功能MRI可以基于个性化预测网络来优化靶向概况。最后，我们将创建一个非人类灵长类动物（NHP）SIMNIBS模块，以允许处理 NHP数据促进了大脑计划的转化和比较神经科学目标。