Different data types

The number of neuroimaging tools is large, ranging from electroencephalography to optogenetics to functional magnetic resonance imaging. However, not all types of analyzes have generally available tools for the analysis and documentation of datasets. Nevertheless, the open-source community is still working on solutions that can solve this problem using the most popular and easy-to-use tools such as Python, BIDS and the like.

In this section, we describe guidelines for documenting and analyzing data in an open and well-documented manner.

EEG and MEG

BIDS community being the result of the ongoing collaboration, shared knowledge, discussion and consesus - is constantly working on the continuous development of new tools for data analysis.

EEG-BIDS

In progress.

MEG-BIDS

In progress

MEG + EEG Analysis & Visualization

MNE-Python software is an open-source Python package for exploring, visualizing, and analyzing human neurophysiological data such as MEG, EEG, sEEG, ECoG, and more.

This Python package covers most types of data analysis workflow including preprocessing, visualization, source estimation, time-frequency analysis, connectivity analysis, machine learning, and statistics. All of those are covered and explained further in Tutorials.

The installation is quite easy, because it works with pip install -U mne.

Note

To find more specific information, visit the MNE’s documentation.

fMRI

In progress.