开源工具箱一站式分析脑电/脑磁数据，提升科研效率与可复现性。
MLE-Toolbox: An Open-Source Toolbox for Comprehensive EEG and MEG Data Analysis
- 整合从预处理到机器学习的全流程，支持图形化操作
- 内置自动化去噪与源定位方法，兼容主流平台
- 适合神经科学、临床研究者快速开展高精度脑信号分析
MLE-Toolbox 是一个全面的开源 MATLAB 工具箱，支持脑磁图（MEG）和脑电图（EEG）数据的端到端分析。受 Brainstorm、FieldTrip 等平台启发，它在统一的用户友好图形界面中集成完整分析流程，涵盖原始数据导入、预处理、源定位、功能连接、振荡分析及基于机器学习的分类。工具箱包含独立成分分析（ICA）、信号空间投影（SSP）、信号空间分离（SSS）等自动伪迹剔除方法；最小范数估计（MNE）、动态统计参数映射（dSPM）、标准低分辨率脑电磁拓扑（sLORETA）和波束成形等多种源定位方法；多模板脑区划分与解剖可视化；频带特异性功率分析与脑图谱映射；相位-振幅耦合（PAC）；图论脑网络分析；以及集成的机器学习与深度学习分类器。同时支持与 Brainstorm、FieldTrip、EEGLAB、FreeSurfer 原生互操作，便于沿用既有工作流，并享受额外自动化、交互式可视化及一键生成学术报告功能。免费用于非商业用途，旨在降低严谨、可复现的 MEG/EEG 研究门槛。
原文摘要 · Abstract (English)
MLE-Toolbox is a comprehensive open-source MATLAB toolbox for end-to-end analysis of magnetoencephalography (MEG) and electroencephalography (EEG) data. Inspired by widely used neuroimaging platforms such as Brainstorm and FieldTrip, it integrates the full analysis pipeline within a unified and user-friendly graphical interface (GUI), covering raw data import, preprocessing, source localization, functional connectivity, oscillatory analysis, and machine learning-based classification. The toolbox includes automated artifact rejection methods, including independent component analysis (ICA), signal-space projection (SSP), and signal-space separation (SSS); multiple source localization approaches, including minimum norm estimation (MNE), dynamic statistical parametric mapping (dSPM), standardized low-resolution brain electromagnetic tomography (sLORETA), and beamforming; multi-atlas parcellation with anatomical visualization; spectral power analysis with frequency-band brain mapping; phase-amplitude coupling (PAC); graph-theoretic brain network analysis; and integrated machine learning and deep learning classifiers. MLE-Toolbox also provides native interoperability with Brainstorm, FieldTrip, EEGLAB, and FreeSurfer, allowing researchers to build on established workflows while benefiting from additional automation, interactive visualization, and one-click academic report generation. Freely available for non-commercial use, MLE-Toolbox is designed to lower the barrier to rigorous, reproducible MEG/EEG research.
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