tutorial.md

title	tags
Overview of all tutorials	tutorial

Overview of all tutorials

The tutorials contain background on the different analysis methods and include code that you can copy-and-paste in MATLAB to walk through the different analysis options. The frequently asked questions and example scripts are other forms of documentation.

Some of these tutorials are also used during the "Advanced EEG/MEG analysis" toolkit course that is presented at the Centre for Cognitive Neuroimaging of the Donders Institute for Brain, Cognition and Behaviour each year. Furthermore, we use these tutorials during the various workshops.

For information on what types of datasets we have here on FieldTrip, and which datasets are used in which tutorials see this overview of the datasets used in the tutorials.

When adding or contributing to the tutorials please consider the documentation guidelines.

Introduction to FieldTrip and MATLAB

• Introduction to the FieldTrip toolbox
• Creating a clean analysis script
• Making a memory efficient analysis script
• Speeding up your analysis with distributed computing

Preprocessing of MEG and EEG data

• Preprocessing - Reading continuous EEG and MEG data
• Preprocessing - Trigger based trial selection
• Introduction on dealing with artifacts
• Visual artifact rejection
• Automatic artifact rejection

Sensor-level analyses of MEG and EEG data

• Event related fields and MEG planar gradient
• Preprocessing of EEG data and computing ERPs
• Preprocessing and event-related activity in combined MEG/EEG data
• Time-frequency analysis using Hanning window, multitapers and wavelets
• Time-frequency analysis of combined MEG/EEG
• Sensor-level ERF, TFR and connectivity analyses
• Extracting the brain state and events from continuous sleep EEG

Source reconstruction of MEG and EEG data

• Construct a headmodel for MEG source analysis
• Construct a BEM headmodel for EEG source analysis
• Construct a FEM headmodel for EEG source analysis
• Construct a sourcemodel for MEG or EEG source analysis
• Localizing electrodes using a 3D-scanner
• Localizing oscillatory sources in MEG data using a beamformer
• Beamforming oscillatory responses in combined MEG/EEG data
• Localizing visual gamma and cortico-muscular coherence
• Source reconstruction of event-related fields using minimum-norm estimation
• Dipole fitting of combined MEG/EEG data
• Computation of virtual MEG channels in source-space
• Virtual channel analysis of epilepsy MEG data

Analysis of intracranial electrophysiological recordings

• Analysis of human ECoG and sEEG recordings
• Analysis of monkey ECoG recordings
• Channel and source analysis of mouse EEG
• Preprocessing and analysis of spike-train data
• Preprocessing and analysis of spike and local field potential data

Analysis of TMS-EEG data

• Dealing with TMS-EEG datasets

Analysis of fNIRS data

• Preprocessing and averaging of single-channel NIRS data
• Preprocessing and averaging of multi-channel NIRS data

Connectivity analysis

• Analysis of corticomuscular coherence
• Analysis of sensor- and source-level connectivity
• Extended analysis of sensor- and source-level connectivity
• Whole brain connectivity and network analysis
• Whole brain connectivity and network analysis (2) - EEG

Statistics

• Parametric and non-parametric statistics on event related fields
• Cluster-based permutation tests on event related fields
• Cluster-based permutation tests on time-frequency data
• Statistical analysis and multiple comparison correction for combined MEG/EEG data
• Multivariate analysis of MEG/EEG data (based on the Donders Machine Learning Toolbox)
• Multivariate analysis of MEG/EEG data (based on the MVPA light toolbox)

Visualizing the results of an analysis

• Specifying the channel layout for plotting
• Plotting data at the channel and source level

The data that is used for the tutorials is available from ftp://ftp.fieldtriptoolbox.org/pub/fieldtrip/tutorial/. You can login with username 'anonymous' and use your email address as password.