Diff for "SpmMiniCourse" - MRC CBU Imaging Wiki
location: Diff for "SpmMiniCourse"
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⇤ ← Revision 18 as of 2012-03-05 15:07:26 →
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Editor: RikHenson
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← Revision 21 as of 2018-01-30 12:05:24 → ⇥
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Editor: JohanCarlin
Comment: Removed mention of Rik's course still being offered
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Rik Henson gives a short SPM course for graduates at the CBU and University of Cambridge during February/March every year (though the talks are open to all). Below are copies of the slides: {{attachment:mrclogo.gif}}
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 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]		 Below are copies of Rik Henson's SPM course slides:
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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.  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.

mrclogo.gif

Below are copies of Rik Henson's SPM course slides:

  1. 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)

  2. 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

  3. Experimental design: event-related fMRI, temporal basis functions, design optimisation, nonlinearities, effective connectivity and dynamic causal modelling (DCM)

  4. SPM for EEG/MEG: space-time maps, inverse-problem, Bayesian formulation, model-evidence, canonical meshes

You can also watch the 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.

CbuImaging: SpmMiniCourse (last edited 2018-01-30 12:05:24 by JohanCarlin)