SPM Course Videos

Thanks to the course faculty, and to Peter Aston at the FIL, the 2011 fMRI/PET/VBM and 2012 M/EEG SPM courses in London were recorded (filming services by AVT Connect). The videos are available online here, thanks to Matt Aucott at UCL Multimedia.

Higher quality versions of the videos can be obtained on a DVD available for purchase.

SPM for fMRI/PET/VBM, May 2011

Overview - Karl Friston
Spatial Preprocessing - Ged Ridgway
The General Linear Model - Christophe Phillips
Contrasts and Classical Inference - Jean-Baptiste Poline
Group Analysis - Will Penny
Random Field Theory & Alternatives - Tom Nichols
Demo: Preprocessing - John Ashburner
Demo: Introduction to fMRI analysis - Christophe Phillips
Q & A Clinic - Karl Friston
Experimental Design - Sara Bengtsson
Event-related fMRI - Christian Ruff
Demo: Event-related fMRI - Steve Fleming
Bayesian Inference - Jean Daunizeau
Voxel Based Morphometry - John Ashburner
Dynamic Causal Modelling for fMRI - Klaas Enno Stephan
Demo: DCM for fMRI - Andre Marreiros
DCM for fMRI, Advanced Topics - Klaas Enno Stephan

SPM for MEG/EEG, May 2012

What are we measuring with M/EEG? - Gareth Barnes
Data pre-processing - Vladimir Litvak
General linear model and classical inference - Christophe Phillips
Multiple comparisons problem and solutions - James Kilner
Demo: M/EEG pre-processing - Deborah Talmi and Max-Philipp Stenner
Demo: Statistical analysis of images - Ashwani Jha and Holly Rossiter
Statistical analysis of M/EEG: practical aspects - Jason Taylor
Special interest talk: Dynamical Causal Modelling of basal ganglia in Parkinson's Disease - Andre Marreiros
Bayesian inference - Jeremie Mattout
M/EEG source analysis - Rik Henson
Demo: M/EEG source analysis - Jose Lopez and Vladimir Kozunov
The principles of DCM - Vladimir Litvak
DCM for evoked responses - Jean Daunizeau
DCM for steady state responses - Dimitris Pinotsis
DCM for time-frequency - Bernadette van Wijk
Demo: DCM - Andre Bastos and Martin Dietz
Bayesian model selection and averaging - Will Penny