SPM Course Videos
Latest videos
The latest SPM course videos can be found on our new documentation website at https://www.fil.ion.ucl.ac.uk/spm/docs/courses/
Earlier 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.
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
SPM for MEG/EEG, May 2009
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