Toolbox Bouquet - PracticalMEEG 2022 - NeuroPycon & ephypype : Dataset

<p>The dataset analyzed in the hands-on session contains 1 participant of the <a href="https://openneuro.org/datasets/ds000117/versions/1.0.4">FACE</a> dataset from <a href="https://www.nature.com/articles/sdata20151">Wakeman and Henson (2015)</a>. The data consist of simultaneous MEG/EEG recordings from 19 healthy participants performing a visual recognition task. Subjects were presented images of famous, unfamiliar and scrambled faces. Each subject participated in 6 runs, each 7.5 min in duration.</p> <p>During the hands-on, we will focus only on MEG data and use <a href="https://neuropycon.github.io/ephypype/index.html">NeuroPycon</a> pipelines to preprocess the MEG raw data and to perform source reconstruction of time-locked event-related fields.</p> <p>For installation and more info look at the <a href="https://neuropycon.github.io/ephypype/auto_workshop">workshop</a> page.</p> <p>The two files (ds000117.tar.gz, ds000117_light.tar.gz) contain the MEG and MRI data for the same subject but in light you will find a shorter version of the raw MEG data.</p>