BrainStorm: Highly Extensible Software for Advanced Electrophysiology and MEG/EEG Imaging

BrainStorm：用于高级电生理学和 MEG/EEG 成像的高度可扩展软件

• 批准号: 9894648
• 负责人: Richard M Leahy
• 金额: $ 63.35万
• 依托单位: UNIVERSITY OF SOUTHERN CALIFORNIA
• 依托单位国家: 美国
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-06-15 至 2022-02-28
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9894648
• 关键词: Address; Alzheimer' s Disease; Anatomy; Animals; Archives; Area; Atlases; Basic Science; Benchmarking; Brain; Brain imaging; Clinical Research; Cloud Computing; Code; Cognitive deficits; Communities; Computer software; Data; Data Analyses; Data Analytics; Development; Diagnosis; Documentation; Educational workshop; Electrodes; Electroencephalography; Electromagnetic Fields; Electromagnetics; Electrophysiology (science); Ensure; Environment; Epilepsy; Excision; Frequencies; Goals; Grant; High Performance Computing; Human; Image; Imaging Device; Institution; Java; Joints; Journals; Language Development; Lead; Linux; Machine Learning; Magnetic Resonance Imaging; Magnetoencephalography; Maintenance; Maps; Measurement; Measures; Mental disorders; Methods; Microelectrodes; Modeling; Monitor; Morphologic artifacts; Near-Infrared Spectroscopy; Neurologic; Neurons; Neurosciences Research; Noise; Obsessive-Compulsive Disorder; Online Systems; Paper; Pathway Analysis; Pattern; Persons; Play; Pythons; Reproducibility; Research; Research Personnel; Resources; Role; Scalp structure; Schizophrenia; Series; Signal Transduction; Source; Spatial Distribution; Surface; Technology; Testing; Therapeutic Intervention; Time; Training; Universities; Vendor; Visualization; Work; autism spectrum disorder; cloud storage; cognitive benefits; computerized tools; computing resources; cortex mapping; data archive; data curation; data resource; data sharing; data standards; data structure; data warehouse; density; design; electric field; graphical user interface; hands on instruction; improved; interoperability; large datasets; large scale data; magnetic field; multidisciplinary; neuroimaging; novel; open source; relating to nervous system; response; spatiotemporal; structured data; tool

Project Summary Electrophysiological recordings in humans and animals play an essential role in developing an understanding of the human brain. Signal recording technology spans the entire scale from invasive microelectrode single-unit recordings, through mesoscale macroelectrode measures of local field potentials, to whole-brain monitoring through measurement of scalp potentials (EEG) and extracranial magnetic fields (MEG). Analysis of these data presents a host of challenges, from low level noise removal and artifact rejection to sophisticated spatio-temporal modeling and statistical inference. The multidisciplinary neuroscience research community has an ongoing need for validated and documented open-source software to perform this analysis and to facilitate reproducible and large-scale research involving electrophysiological data. This proposal describes our plans to continue to develop and support Brainstorm, open-source software that meets this need. Brainstorm is a Matlab/Java multi-platform (Linux, MacOS, Windows) software package for analysis and visualization of electrophysiological data. The software is extensively documented through a series of detailed tutorials and actively supported through a user forum and a mailing list. Over the past 8 years we have registered 16,000 distinct users, provided hands on instruction to 1,200 trainees, and the software has been used and cited in ~600 journal papers. Brainstorm includes tools for importing MEG/EEG, intracranial EEG, animal electrophysiology, and near-infrared spectroscopy (NIRS) data from multiple vendors, extensive interactive features for data preprocessing, selection and visualization, coregistration to volume and surface MRIs and atlases, forward and inverse mapping of cortical current density, time-series and connectivity analysis, and a range of statistical tools. Data can be analyzed through a graphical interface or through scripted pipelines. The current proposal represents a plan to extend Brainstorm in a manner that leverages the unique features of our software and addresses important needs for large-scale data analysis. In this project we will continue to extend and support our software through the following three specific aims: (i) we will harness recent developments in distributed and shared data and high performance computing resources, together with standardization of data organization, to facilitate large-scale, reproducible analysis of electrophysiological data. (ii) We will also address the need for improved modeling resulting from the increasing use of both invasive recordings and direct brain stimulation through development of new modeling software for accurate computation of the intracranial electromagnetic fields produced by brain stimulation and neuronal activation. (iii) Finally, we will continue to add new functionality and to support the software through in-person training, online forums, documentation and other resources.

项目摘要 人类和动物的电生理学记录在理解 人类的大脑。信号记录技术跨越了从侵入性微电极单单元 记录，通过局部场电位的中尺度宏电极测量，到全脑监测 通过测量头皮电位（EEG）和颅外磁场（MEG）。分析这些数据 提出了一系列的挑战，从低电平噪声去除和伪影抑制到复杂的时空 建模和统计推断。多学科的神经科学研究社区有一个持续的需求 用于验证和记录的开源软件来执行此分析，并促进可重现性和 涉及电生理数据的大规模研究。这份提案描述了我们继续发展的计划， 并支持满足这一需求的开源软件Brainstorm。Brainstorm是一个Matlab/Java多平台 （Linux、MacOS、Windows）软件包，用于电生理数据的分析和可视化。的 通过一系列详细的教程对软件进行了广泛的记录，并通过用户积极支持 论坛和邮件列表。在过去的8年里，我们已经注册了16，000个不同的用户， 该软件已在约600篇期刊论文中使用和引用。头脑风暴 包括用于导入MEG/EEG、颅内EEG、动物电生理学和近红外的工具 来自多个供应商的近红外光谱（NIRS）数据，用于数据预处理的广泛交互功能， 和可视化，与体积和表面MRI和图谱的配准， 皮质电流密度、时间序列和连接性分析，以及一系列统计工具。数据可以 通过图形界面或通过脚本管道进行分析。目前的提案是一项计划， 以利用我们软件的独特功能并满足重要需求的方式扩展头脑风暴 进行大规模数据分析。在这个项目中，我们将继续通过 以下三个具体目标：（i）我们将利用分布式和共享数据的最新发展， 高性能计算资源，以及数据组织的标准化，以促进大规模， 电生理数据的可再现分析。(ii)我们还将解决改进建模的需求 这是由于越来越多地使用侵入性记录和通过发育直接脑刺激 用于精确计算大脑产生的颅内电磁场的新建模软件 刺激和神经元激活。(iii)最后，我们将继续添加新功能并支持 通过现场培训、在线论坛、文档和其他资源，