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Has 3 parts: 1. Load Single-Pulse Electrical Stimulation (SPES) from raw data - Separate ODD and EVEN events 1. Remove Single-Pulse Electrical Stimulation (SPES) artifacts and slow drifts: - Detect stimulation events from a selected trigger channel - Replaces the artifact window around each event using spline interpolation - Apply Empirical Mode Decomposition (EMD) based filtering to remove low-frequency drift components 1. Import ODD and EVEN events from the cleaned data 1. Average ODD and EVEN events each ('By trial groups (folder average)' option) 1. Average the ODD and EVEN together ('Everything' average option) so that we get a single averaged data file 1. Plot Fastgraphs for the individual averaged file above. |
FAST graph
Authors: John Mosher, Ken Taylor, Richard Leahy
THIS TUTORIAL IS CURRENTLY UNDER CONSTRUCTION
Contents
Introduction
A 39-year-old ambidextrous female with medically refractory seizures presents with seizures consisting of a loss of awareness. Scalp video-EEG monitoring showed interictal epileptiform discharges arising from both left and right anterior temporal regions. The typical clinical seizures showed ictal EEG changes that were classified as left frontotemporal, right frontotemporal, or non-localizable. The MEG showed a tight dipole cluster in the left anterior temporal region as well as a single dipole in the right temporal region. Both 3 T brain MRI and VBM were normal.
Has 3 parts: 1. Load Single-Pulse Electrical Stimulation (SPES) from raw data
- - Separate ODD and EVEN events
1. Remove Single-Pulse Electrical Stimulation (SPES) artifacts and slow drifts:
- - Detect stimulation events from a selected trigger channel - Replaces the artifact window around each event using spline interpolation - Apply Empirical Mode Decomposition (EMD) based filtering to remove low-frequency drift components
1. Import ODD and EVEN events from the cleaned data 1. Average ODD and EVEN events each ('By trial groups (folder average)' option) 1. Average the ODD and EVEN together ('Everything' average option) so that we get a single averaged data file 1. Plot Fastgraphs for the individual averaged file above.