Advanced Techniques in M/EEG Analysis and SPM Software Overview
Explore advanced techniques in M/EEG analysis, including Random Field Theory, Statistical Parametric Mapping, Source Analysis, Dynamic Causal Modelling, and the evolution of SPM software by Karl Friston. Learn about the applications of these methods in neuroimaging research and access free and open-source SPM12 software for comprehensive data analysis. Dive into the world of spatially extended statistical processes for functional imaging data and understand the principles behind M/EEG source analysis and dynamic causal modelling.
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Presentation Transcript
SPM for M/EEG Guillaume Flandin Wellcome Centre for Human Neuroimaging University College London https://www.fil.ion.ucl.ac.uk/spm/course/london/material/ SPM Course London, May 2019
Random Field Theory Contrast c ? = ? ? + ? General Linear Model Pre- Statistical Inference processings ? = ??? 1??? ?? ? ?2= ???{?,?} ????(?)
Image time-series Statistical Parametric Map Design matrix Spatial filter Realignment General Linear Model Smoothing Statistical Inference RFT Normalisation p <0.05 Anatomical reference Parameter estimates
Statistical Parametric Mapping refers to the construction and assessment of spatially extended statistical processes used to test hypotheses about functional imaging data. Sensor to voxel transform Time Statistical Parametric Mapping for Event-Related Potentials I: Generic Considerations. S.J. Kiebel and K.J. Friston. NeuroImage, 2004. Topological inference for EEG and MEG, J. Kilner and K.J. Friston, Annals of Applied Statistics, 2010.
M/EEG Source Analysis Forward Problem p ( | ) ( | , ) m p Y m Y Data Likelihood Prior Posterior Evidence ) , | ( m Y p ( | ) p Y m Parameters Inverse Problem
Dynamic Causal Modelling for M/EEG DCM for event-related potentials DCM for cross-spectral density DCM for induced responses DCM for phase coupling
SPM Software The SPM software was originally developed by Karl Friston for the routine statistical analysis of functional neuroimaging data from PET while at the Hammersmith Hospital in the UK, and made available to the emerging functional imaging community in 1991 to promote collaboration and a common analysis scheme across laboratories. SPMclassic, SPM 94, SPM 96, SPM 99, SPM2, SPM5, SPM8 and SPM12 represent the ongoing theoretical advances and technical improvements of the original version.
Software: SPM12 Free and Open Source Software (GPL) Requirements: MATLAB: 7.4 (R2007a) to 9.6 (R2019a) no MathWorks toolboxes required Supported platforms: Linux, Windows and Mac File formats: Volumetric images: NIfTI (DICOM import) Geometric images: GIfTI M/EEG: most manufacturers (FieldTrip sfileio) Standalone version available.
Brain Imaging Data Structure (BIDS) A simple and intuitive way to organise and describe your neuroimaging and behavioural data. https://bids.neuroimaging.io/ K.J. Gorgolewski et al. The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments. Scientific Data (2016) G.J.G. Niso et al. MEG-BIDS: an extension to the Brain Imaging Data Structure for magnetoencephalography. Scientific Data (2018). C. Pernet et al. EEG-BIDS: an extension to the Brain Imaging Data Structure for electroencephalography. Scientific Data (2019).
SPM Website https://www.fil.ion.ucl.ac.uk/spm/ SPM software Documentation & Bibliography Example data sets
SPM Manual https://dx.doi.org/10.1155/2011/852961 https://doi.org/10.3389/fnins.2019.00300
SPM Toolboxes User-contributed SPM extensions: http://www.fil.ion.ucl.ac.uk/spm/ext/
SPM Mailing List spm@jiscmail.ac.uk https://www.fil.ion.ucl.ac.uk/spm/support/
The SPM co-authors Jesper Andersson John Ashburner Nelson Trujillo-Barreto Gareth Barnes Matthew Brett Christian Buchel CC Chen Justin Chumbley Jean Daunizeau Olivier David Guillaume Flandin Karl Friston Darren Gitelman Daniel Glaser Volkmar Glauche Lee Harrison Rik Henson Andrew Holmes Chloe Hutton Maria Joao Stefan Kiebel James Kilner Vladimir Litvak Andre Marreiros J r mie Mattout Rosalyn Moran Tom Nichols Robert Oostenveld Will Penny Christophe Phillips Dimitris Pinotsis Jean-Baptiste Poline Ged Ridgway Holly Rossiter Mohamed Seghier Klaas Enno Stephan Sungho Tak Bernadette Van Wijk Peter Zeidman
