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FieldTrip：用于 MEG、EEG 和有创电生理数据的高级分析的开源软件。

FieldTrip: Open source software for advanced analysis of MEG, EEG, and invasive electrophysiological data.

机构信息

Donders Institute for Brain, Cognition and Behaviour, Centre for Cognitive Neuroimaging, Radboud University Nijmegen, The Netherlands.

出版信息

Comput Intell Neurosci. 2011;2011:156869. doi: 10.1155/2011/156869. Epub 2010 Dec 23.

DOI:10.1155/2011/156869
PMID:21253357
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3021840/
Abstract

This paper describes FieldTrip, an open source software package that we developed for the analysis of MEG, EEG, and other electrophysiological data. The software is implemented as a MATLAB toolbox and includes a complete set of consistent and user-friendly high-level functions that allow experimental neuroscientists to analyze experimental data. It includes algorithms for simple and advanced analysis, such as time-frequency analysis using multitapers, source reconstruction using dipoles, distributed sources and beamformers, connectivity analysis, and nonparametric statistical permutation tests at the channel and source level. The implementation as toolbox allows the user to perform elaborate and structured analyses of large data sets using the MATLAB command line and batch scripting. Furthermore, users and developers can easily extend the functionality and implement new algorithms. The modular design facilitates the reuse in other software packages.

摘要

本文介绍了 FieldTrip，这是一个我们开发的用于分析 MEG、EEG 和其他电生理数据的开源软件包。该软件作为 MATLAB 工具箱实现，包含了一整套一致且用户友好的高级功能，使实验神经科学家能够分析实验数据。它包括用于简单和高级分析的算法，例如使用多通带的时频分析、使用偶极子的源重建、分布式源和波束形成器、连通性分析以及通道和源级别的非参数统计置换检验。作为工具箱的实现允许用户使用 MATLAB 命令行和批处理脚本对大型数据集进行精心和结构化的分析。此外，用户和开发人员可以轻松扩展功能并实现新算法。模块化设计便于在其他软件包中重用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ab2/3021840/2aa3f489a420/CIN2011-156869.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ab2/3021840/5aca67a76e63/CIN2011-156869.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ab2/3021840/3a8264ae5767/CIN2011-156869.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ab2/3021840/2b984e0e6cfe/CIN2011-156869.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ab2/3021840/cdd9fd70940f/CIN2011-156869.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ab2/3021840/d4a6cafc391e/CIN2011-156869.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ab2/3021840/64aa1a0623f5/CIN2011-156869.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ab2/3021840/2aa3f489a420/CIN2011-156869.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ab2/3021840/5aca67a76e63/CIN2011-156869.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ab2/3021840/3a8264ae5767/CIN2011-156869.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ab2/3021840/2b984e0e6cfe/CIN2011-156869.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ab2/3021840/cdd9fd70940f/CIN2011-156869.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ab2/3021840/d4a6cafc391e/CIN2011-156869.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ab2/3021840/64aa1a0623f5/CIN2011-156869.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ab2/3021840/2aa3f489a420/CIN2011-156869.007.jpg

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Comput Intell Neurosci. 2010-12-23

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