Download presentation
Presentation is loading. Please wait.
2
Keith Worsley
4
Wellcome Trust Centre for Neuroimaging, UCL Institute of Neurology,
Regression and Group Analysis Pipeline with Statistical Parametric Mapping SPM John Ashburner Wellcome Trust Centre for Neuroimaging, UCL Institute of Neurology, London, UK.
5
Statistical Parametric Mapping (SPM)
Image time-series Kernel Design matrix Statistical parametric map (SPM) Realignment Smoothing General linear model Gaussian field theory Statistical inference Normalisation p <0.05 Template Parameter estimates
6
SPM Interface and Batch mode
7
Pre-processing Overview
Statistics or whatever fMRI time-series Template Anatomical MRI Smoothed Estimate Spatial Norm Motion Correct Smooth Coregister Spatially normalised Deformation
8
Batch Pre-processing
9
DARTEL Normalisation Simultaneous registration of GM to GM and WM to WM Template is an average shaped brain. Less bias in subsequent analysis. Iteratively created mean using DARTEL algorithm. Generative model of data. Multinomial noise model. Grey matter average of 471 subjects White matter average of 471 subjects
10
DARTEL Batch
11
Specify the Design for GLM
Design matrix = + y X Parameter estimation
12
Batch 1st Level Analysis (Specify Design, Estimate, Result)
13
Group Analysis Of Summary Statistics
First level Second level Data Design Matrix Contrast Images SPM(t) One-sample 2nd level
14
2nd Level Analysis (Group Analysis)
15
SPM Resource http://www.fil.ion.ucl.ac.uk/spm “Human Brain Function” &
“Statistical Parametric” Mapping books peer reviewed literature SPM discussion list algorithm descriptions, code annotations, pseudo-code & SPM5/8 Manual
Similar presentations
© 2025 SlidePlayer.com. Inc.
All rights reserved.