Learn how to analyze MEG data using Brainstorm in this comprehensive 46-minute tutorial by Dimitrios Pantazis from MIT's McGovern Institute for Brain Research. Explore the Brainstorm interface, import and refine MEG data registration, view time series and topography, detect eye blinks, and perform advanced analyses. Master techniques such as data averaging, individual trial analysis, dynamic statistical parametric mapping, source visualization, and scout creation. Gain hands-on experience with the process window and learn how to create efficient analysis pipelines for MEG data processing.
Overview
Syllabus
Introduction
Starting Brainstorm
Brainstorm Interface
MRI Viewer
Brainstorm
Import MEG data
Refine registration
View time series
View topography
Detect eye blinks
Import data into Brainstorm
Analyze data
Average data
Process window
Individual trials
Dynamic statistical parametric mapping
View sources
Scouts
Pipeline
Taught by
MITCBMM
