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SPM Course - EEG & MEG

Course programme

This is a draft programme of the upcoming online SPM course for EEG and MEG. The course will consist of lectures and practical workshops where attendees will be guided through analyses of different neuroimaging datasets.

Day 1

Time Title Faculty
10:00 - 10:45 Pre-course chat with the attendees SPM faculty
10:45 - 11:00 SPM introduction and resources Prof Vladimir Litvak
11:00 - 12:00 What are we measuring with M/EEG? Dr Catharina Zich
12:00 - 13:15 Data preprocessing Dr Nicholas Alexander
Break
14:00 - 15:10 Data preprocessing - Demo Andrew Levy
15:10 - 16:15 General linear model (GLM) and classical inference Dr Zita Patai
16:15 - 16:45 Convolutional GLM Dr Ashwani Jha
16:45 - 17:15 Multiple comparisons - Problems & solutions Dr Tim Tierney
17:15 - 18:00 General Q&A SPM faculty

Day 2

Time Title Faculty
10:00 - 10:30 General Q&A + student’s show & tell SPM faculty
10:30 - 12:30 Group M/EEG dataset analysis - Demo Dr Jason Taylor
12:30 - 13:10 Analysis of optically pumped magnetometers (OPM) data Dr Stephanie Mellor
13:10 - 13:45 OPM data analysis - Demo Dr Robert Seymour
Break
14:30 - 15:30 Bayesian inference Dr Dimitris Pinotsis
15:30 - 16:30 M/EEG source analysis Dr Mansoureh Fahimi
16:30 - 17:15 M/EEG source analysis - Demo Meaghan Spedden
17:15 - 18:00 General Q&A SPM faculty

Day 3

Time Title Faculty
10:00 - 11:00 General Q&A + student’s show & tell SPM faculty
11:00 - 12:10 The principles of dynamic causal modelling (DCM) Dr Amirhossein Jafarian
12:10 - 13:15 DCM for evoked responses Dr Daniel Hauke
Break
14:15 - 15:15 DCM for cross-spectral densities Dr Johan Medrano
15:15 - 16:00 DCM - Demo Julia Rodriguez Sanchez
16:00 - 17:00 Bayesian model selection and averaging Dr Peter Zeidman
17:00 - 18:00 Q&A clinic with Prof Karl Friston Prof Karl Friston & SPM faculty

Day 4 (bonus)