NIRSTORM: a Brainstorm extension dedicated to functional near-infrared spectroscopy data analysis, advanced 3D reconstructions, and optimal probe design.

IF 4.8 2区 医学 Q1 NEUROSCIENCES
Neurophotonics Pub Date : 2025-04-01 Epub Date: 2025-05-15 DOI:10.1117/1.NPh.12.2.025011
Édouard Delaire, Thomas Vincent, Zhengchen Cai, Alexis Machado, Laurent Hugueville, Denis Schwartz, Francois Tadel, Raymundo Cassani, Louis Bherer, Jean-Marc Lina, Mélanie Pélégrini-Issac, Christophe Grova
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引用次数: 0

Abstract

Significance: Understanding the brain's complex functions requires multimodal approaches that combine data from various neuroimaging techniques. Functional near-infrared spectroscopy (fNIRS) offers valuable insights into hemodynamic responses, complementing other modalities such as electroencephalography (EEG), magnetoencephalography (MEG), and magnetic resonance imaging. However, there is a lack of comprehensive and accessible toolboxes able to integrate fNIRS advanced analyses with other modalities. NIRSTORM addresses this gap by offering a unified platform for multimodal neuroimaging analysis.

Aim: NIRSTORM aims to provide a user-friendly and comprehensive environment for multimodal analysis while supporting the entire fNIRS analysis pipeline, from experiment planning to the reconstruction of hemodynamic fluctuations on the cortex.

Approach: Developed in MATLAB®, NIRSTORM operates as a Brainstorm plugin, enhancing Brainstorm's capabilities for analyzing fNIRS data. Brainstorm is a widely used, GUI-based software originally designed for statistical analysis and source imaging of EEG and MEG data.

Results: NIRSTORM supports conventional fNIRS preprocessing and statistical analyses while introducing new advanced features such as optimal montage for planning optode placement and maximum entropy on the mean (MEM) for reconstructing hemodynamic fluctuations on the cortical surface.

Conclusion: As an open-access and user-friendly plugin, NIRSTORM extends Brainstorm's functionality to fNIRS, bridging the gap between EEG/MEG and hemodynamic analyses.

NIRSTORM:一个头脑风暴扩展,致力于功能近红外光谱数据分析,先进的3D重建和最佳探头设计。
意义:了解大脑的复杂功能需要多模态方法,结合各种神经成像技术的数据。功能近红外光谱(fNIRS)为血液动力学反应提供了有价值的见解,补充了其他方法,如脑电图(EEG)、脑磁图(MEG)和磁共振成像。然而,缺乏能够将fNIRS高级分析与其他模式集成的全面和可访问的工具箱。NIRSTORM通过提供多模态神经成像分析的统一平台来解决这一差距。目的:NIRSTORM旨在为多模态分析提供一个友好和全面的环境,同时支持整个fNIRS分析流程,从实验计划到皮层血流动力学波动的重建。方法:在MATLAB®中开发,NIRSTORM作为头脑风暴插件运行,增强了头脑风暴分析fNIRS数据的能力。头脑风暴是一个广泛使用的基于gui的软件,最初设计用于脑电图和脑磁图数据的统计分析和源成像。结果:NIRSTORM支持传统的fNIRS预处理和统计分析,同时引入了新的先进功能,如规划光电电极放置的最佳蒙太奇和用于重建皮质表面血流动力学波动的最大平均熵(MEM)。结论:作为一个开放访问和用户友好的插件,NIRSTORM将头脑风暴的功能扩展到fNIRS,弥合了EEG/MEG和血流动力学分析之间的差距。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Neurophotonics
Neurophotonics Neuroscience-Neuroscience (miscellaneous)
CiteScore
7.20
自引率
11.30%
发文量
114
审稿时长
21 weeks
期刊介绍: At the interface of optics and neuroscience, Neurophotonics is a peer-reviewed journal that covers advances in optical technology applicable to study of the brain and their impact on the basic and clinical neuroscience applications.
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