## page was renamed from SpmMiniCourse2008
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Below are copies of Rik Henson's SPM course slides:

 1. [[attachment:SPM-Henson-1-preproc.ppt|Spatial preprocessing: Realigment, unwarping, normalisation, smoothing, segmentation and Computational Neuroanatomy e.g. voxel-based morphometry (VBM), deformation-based morphometry (DBM) and tensor-based morphometry (TBM)]]
 1. [[attachment:SPM-Henson-2-glm.ppt|The General Linear Model: global effects, correlation/orthogonalisation, time-series convolution models, high-pass filtering, temporal auto-correlation, maximum likelihood (ML) estimation, non-sphericity, Statistical Parametric Maps (SPMs) and Random Field Theory Correction, Random Effects, Parametric Empirical Bayes and PPMs]]
 1. [[attachment:SPM-Henson-3-design.ppt|Experimental design: event-related fMRI, temporal basis functions, design optimisation, nonlinearities, effective connectivity and dynamic causal modelling (DCM)]]  
 1. [[attachment:SPM-Henson-4-MEEG.ppt|SPM for EEG/MEG: space-time maps, inverse-problem, Bayesian formulation, model-evidence, canonical meshes]]

You can also watch the [[http://www.fil.ion.ucl.ac.uk/spm/course/video/|videos of the SPM Course for fMRI, PET and VBM, at the Wellcome Trust Centre for Neuroimaging]] (May 2011), which also contain two recorded practical demonstrations from the 2009 MEG and EEG course on the same page.