MEG Workshop

Speaker(s): Matti Hämäläinen, MGH; Dimitrios Pantazis, McGovern Institute; David Gow, MGH

ABSTRACT: MEG methodological approaches have grown remarkably during the 50-year history of MEG. A breadth of source estimation tools can localize brain activity even in challenging situations. Pattern analysis of brain activity can perform feats of mind reading by revealing what a person is seeing, perceiving, attending to, or remembering. Functional connectivity approaches can assess the role of large-scale brain networks in cognitive function. The aim of this workshop is to deconstruct these tools and overview challenges and limitations. Another goal is to demonstrate MEG data analysis procedures to a novice researcher.

Videos

Embedded thumbnail for MEG/EEG Source Estimation Approaches: A Spectrum of Purpose-Built Optimal Tools MEG/EEG Source Estimation Approaches: A Spectrum of Purpose-Built Optimal Tools

Matti Hämäläinen, Massachusetts General Hospital

slides (PDF)

Embedded thumbnail for Decoding cognitive function with MEG: Recent advances, challenges, and future prospects Decoding cognitive function with MEG: Recent advances, challenges, and future prospects

Dimitrios Pantazis, MIT - McGovern Institute for Brain Research

slides (PDF)

Embedded thumbnail for Large scale high temporal resolution effective connectivity analysis from MEG and the problem of inference Large scale high temporal resolution effective connectivity analysis from MEG and the problem of inference

David Gow, Massachusetts General Hospital

slides (PPTX) and associated video file (MOV)

Embedded thumbnail for Demonstration of MEG data analysis using Brainstorm Demonstration of MEG data analysis using Brainstorm

Dimitrios Pantazis, MIT - McGovern Institute for Brain Research