MEG Workshop
A workshop from MIT's Center for Brains, Minds, and Machines covering magnetoencephalography (MEG) analysis methods: source estimation, decoding, and functional connectivity. Sessions walk through how source estimation tools localize brain activity, how pattern analysis of MEG signals can reveal what a subject is seeing or remembering, and how connectivity approaches assess large-scale brain networks during cognitive tasks. Aimed at novice researchers, the workshop deconstructs each analytical tool, reviews its pitfalls and limitations, and demonstrates actual MEG data analysis procedures rather than just theory. Materials come from MIT OpenCourseWare under a Creative Commons license, reflecting fifty years of MEG methodological development. The course suits students or researchers in neuroscience or cognitive science who need a practical grounding in MEG signal processing rather than a general overview of brain imaging.