Pipelines Gallery

MNE-Python Pipeline Notebooks

KIT general pipeline: environment setup and running

Stage 0: CALM noise reduction in MEG160

Stage 1: trigger count sanity check (single and multi channel)

Stage 2: KIT .con to .fif

Kit2Fiff and coregistration GUIs: manual walkthrough

Stage 3: Head shape and sensor alignment plots

Stage 4: Head movement between marker measurements

Stage 5: Bad channel detection

Stage 6: ICA artefact decomposition

Stage 7: Apply filters

Stage 8: build MNE events from the triggers

Stage 9: Epochs and evoked responses

Stage 10: FreeSurfer anatomical reconstruction

Stage 11: FreeSurfer reconstruction quality control

Stage 12: Manual MEG-MRI coregistration

KIT general pipeline: source analysis, statistics and multivariate

MNE-Python example notebooks

Kidslang Project

MNE: Close-up on forward solutions

MNE: Source estimation and localization

MNE: Coregistration after data acquisition

MNE / Python: Photodiode trigger-display lag pipeline

MNE: Resting State Processing Pipeline

MNE: Experiment Name

FieldTrip MATLAB Pipeline Notebooks

Fieldtrip: Combind Binary Triggers processing

Fieldtrip: KIT to fieldtrip

Fieldtrip: KIT Attention Task Analysis

Fieldtrip: Audio Vs Visual Vs Motor

FieldTrip / MATLAB: Photodiode trigger-display lag pipeline

Fieldtrip: Resting State analysis pipeline

Fieldtrip: Audio vs Motor Spatio-temporal clustering

Fieldtrip: KIT oddball analysis with source localization using beamformer

Fieldtrip: OPM oddball analysis with source localization using beamformer

Visual Crowd Preview Pipeline: Source localization on an Atlas with Beamformer