EPAT: a user-friendly MATLAB toolbox for EEG/ERP data processing and analysis

IF 4.7 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2024-05-15 DOI:10.3389/fninf.2024.1384250

Jianwei Shi, Xun Gong, Ziang Song, Wenkai Xie, Yanfeng Yang, Xiangjie Sun, Penghu Wei, Changming Wang, Guoguang Zhao

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Abstract

At the intersection of neural monitoring and decoding, event-related potential (ERP) based on electroencephalography (EEG) has opened a window into intrinsic brain function. The stability of ERP makes it frequently employed in the field of neuroscience. However, project-specific custom code, tracking of user-defined parameters, and the large diversity of commercial tools have limited clinical application.We introduce an open-source, user-friendly, and reproducible MATLAB toolbox named EPAT that includes a variety of algorithms for EEG data preprocessing. It provides EEGLAB-based template pipelines for advanced multi-processing of EEG, magnetoencephalography, and polysomnogram data. Participants evaluated EEGLAB and EPAT across 14 indicators, with satisfaction ratings analyzed using the Wilcoxon signed-rank test or paired t-test based on distribution normality.EPAT eases EEG signal browsing and preprocessing, EEG power spectrum analysis, independent component analysis, time-frequency analysis, ERP waveform drawing, and topological analysis of scalp voltage. A user-friendly graphical user interface allows clinicians and researchers with no programming background to use EPAT.This article describes the architecture, functionalities, and workflow of the toolbox. The release of EPAT will help advance EEG methodology and its application to clinical translational studies.

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EPAT：用于脑电图/脑电图数据处理和分析的用户友好型 MATLAB 工具箱

在神经监测和解码的交叉点上，基于脑电图（EEG）的事件相关电位（ERP）为了解大脑的内在功能打开了一扇窗。ERP 的稳定性使其经常被用于神经科学领域。然而，特定项目的自定义代码、用户定义参数的跟踪以及商业工具的多样性限制了它在临床上的应用。我们介绍了一个名为 EPAT 的开源、用户友好且可重现的 MATLAB 工具箱，其中包含多种用于脑电图数据预处理的算法。它提供了基于 EEGLAB 的模板管道，可对脑电图、脑磁图和多导睡眠图数据进行高级多重处理。参与者对 EEGLAB 和 EPAT 的 14 项指标进行了评估，并根据分布正态性使用 Wilcoxon 符号秩检验或配对 t 检验对满意度进行了分析。EPAT 可简化 EEG 信号浏览和预处理、EEG 功率谱分析、独立成分分析、时频分析、ERP 波形绘制和头皮电压拓扑分析。本文介绍了该工具箱的架构、功能和工作流程。EPAT 的发布将有助于推进脑电图方法学及其在临床转化研究中的应用。

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来源期刊

ACS Applied Bio Materials Chemistry-Chemistry (all)

CiteScore

9.40

自引率

2.10%

发文量

464

期刊介绍： ACS Applied Bio Materials is an interdisciplinary journal publishing original research covering all aspects of biomaterials and biointerfaces including and beyond the traditional biosensing, biomedical and therapeutic applications. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrates knowledge in the areas of materials, engineering, physics, bioscience, and chemistry into important bio applications. The journal is specifically interested in work that addresses the relationship between structure and function and assesses the stability and degradation of materials under relevant environmental and biological conditions.