近红外会议分享:NIRSTORM
NIRSTORM: a Brainstorm plugin dedicated to fNIRS statistical analysis, 3D reconstructions and optimal probe design
NIRSTORM is a plugin dedicated for fNIRS data analysis, built upon Brainstorm, an internationally recognized software for EEG/MEG processing, featuring advanced databasing, visualization, signal processing, source localization and statistical analysis methods. The purpose of this webinar is to introduce NIRSTORM as a user-friendly and fully complete environment dedicated to fNIRS statistical analysis. The first section will introduce NIRSTORM database, data importation and classical channel-space fNIRS processing (band pass filtering, Modified Beer-Lambert Law, motion correction and window averaging) as well as more recently added General Linear Model based statistical analyses (auto- regressive/precoloring model, mixed-effect group level analysis) to allow statistics of the hemodynamic response in the channel space or along the cortical surface after 3D reconstruction. We will then present the most advanced NIRSTORM features, such as the integration of MCXLab software [Fang and Boas Opt. Express 2009] to estimate light sensitivity profiles within anatomical head models, our method allowing personalized optimal montage design targeting a predefined brain region [Machado et al JNS-Methods 2018, Sc. Report 2021] and advanced 3D reconstructions using weighted Minimum Norm and Maximum Entropy on the Mean [Cai et al, submitted]
NIRSTORM 是一个专门用于 fNIRS 数据分析的插件,基于脑电图/脑磁图处理软件Brainstorm,具有先进的数据库建立、可视化、信号处理、源定位和统计分析方法。这次网络研讨会的目的是介绍 NIRSTORM 作为一个用户友好和完整的环境,致力于 fNIRS 的统计分析。第一部分将介绍 NIRSTORM 数据库、数据输入和经典的通道空间 fNIRS 处理(带通滤波、修正的 Beer-Lambert 定律、运动校正和窗口平均) ,以及最近增加的基于一般线性模型的统计分析(自回归/预着色模型、混合效应组水平分析) ,以统计通道空间或皮层表面在3 d 重建后的血流动力学反应。然后我们将介绍最先进的 NIRSTORM 特性,例如集成 MCXLab 软件[Fang and Boas Opt. Express 2009]在解剖头部模型中估计光敏感度剖面,我们的方法允许针对预定义的大脑区域进行个性化的最佳蒙太奇设计[ Machado 等人 JNS-Methods 2018,sc. Report 2021]和使用加权最小范数和平均最大熵的高级3D 重建[ Cai 等人提交]
2021年4月23日 20:30 北京,上海
注册地址:https://us02web.zoom.us/webinar/register/WN_-VkVKIgkTbqaur9wmv9tDg?timezone_id=Asia%2FShanghai(左下角阅读原文)
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