YoVDO

Demonstration of MEG Data Analysis Using Brainstorm

Offered By: MITCBMM via YouTube

Tags

Neuroimaging Courses Data Analysis Courses

Course Description

Overview

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.

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

Related Courses

Social Network Analysis
University of Michigan via Coursera
Intro to Algorithms
Udacity
Data Analysis
Johns Hopkins University via Coursera
Computing for Data Analysis
Johns Hopkins University via Coursera
Health in Numbers: Quantitative Methods in Clinical & Public Health Research
Harvard University via edX