#MATLAB TUTORIAL CODE#
#MATLAB TUTORIAL TRIAL#

Cluster-based permutation tests on time-frequency data.Cluster-based permutation tests on event-related fields.Parametric and non-parametric statistics on event-related fields.Whole brain connectivity and network analysis (2) - EEG.Whole brain connectivity and network analysis.Extended analysis of sensor- and source-level connectivity.Analysis of sensor- and source-level connectivity.Preprocessing and averaging of multi-channel NIRS data.Preprocessing and averaging of single-channel NIRS data.Preprocessing and analysis of spike and LFP data.Preprocessing and analysis of spike-train data.Channel and source analysis of mouse EEG.Analysis of human ECoG and sEEG recordings.Virtual channel analysis of epilepsy MEG data.Computation of virtual MEG channels in source-space.Dipole fitting of combined MEG/EEG data.Source reconstruction of event-related fields using minimum-norm estimation.Localizing visual gamma and cortico-muscular coherence.Beamforming oscillatory responses in combined MEG/EEG data.Localizing oscillatory sources in MEG data using a beamformer.Localizing electrodes using a 3D-scanner.Construct a sourcemodel for MEG or EEG source analysis.Construct a FEM headmodel for EEG source analysis.Construct a BEM headmodel for EEG source analysis.Construct a headmodel for MEG source analysis.Extracting the brain state and events from continuous sleep EEG.Sensor-level ERF, TFR and connectivity analyses.

Time-frequency analysis of combined MEG/EEG data.

Time-frequency analysis using Hanning window, multitapers and wavelets.Preprocessing and event-related activity in combined MEG/EEG data.Preprocessing of EEG data and computing ERPs.Event-related fields and MEG planar gradient.

#MATLAB TUTORIAL TRIAL#

Preprocessing - Trigger based trial selection.

Preprocessing - Reading continuous EEG and MEG data.

Speeding up your analysis with distributed computing.

Making a memory efficient analysis pipeline.

When adding or contributing to the tutorials please consider the documentation guidelines. Furthermore, we use these tutorials during the various workshops.įor 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. 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. The frequently asked questions and example scripts are other forms of documentation.

#MATLAB TUTORIAL CODE#

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.