FACE datasetΒΆ

These examples demonstrate how to process 1 participant of the FACE dataset from Wakeman and Henson (2015). 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.

Here, we focus only on MEG data and use create_pipeline_preproc_meeg() to preprocess the MEG raw data and create_pipeline_source_reconstruction() to perform source reconstruction of time-locked event-related fields.

01. Freesurfer anatomical pipeline

01. Freesurfer anatomical pipeline

01. Freesurfer anatomical pipeline
02. Preprocess MEG data

02. Preprocess MEG data

02. Preprocess MEG data
03. Compute inverse solution

03. Compute inverse solution

03. Compute inverse solution
04. Plot contrast

04. Plot contrast

04. Plot contrast
04. Preprocess MEG data and compute inverse solution

04. Preprocess MEG data and compute inverse solution

04. Preprocess MEG data and compute inverse solution