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BIENNIAL EDINBURGH SPM COURSE 2019

 

All courses take place centrally (around George Square) - check details below for details where each course takes place.

Prepare your stay and make sure you have your euduroam ready to use our wifi:

 

Monday 1st April: fMRI and Matlab introduction

Room 2.14 Appleton Tower AM and Hugh Robson Building computer lab PM

- (9-9.30) Welcome

- (9.30-10.15) What are we measuring? basics of (f)MRI (Dr Cyril Pernet)

- (10.15-11.00) Experimental designs for imaging (Dr Alexa Morcom)

- (11.15-11.45) What are we measuring? the BOLD signal (Dr Cyril Pernet)

- (11.45 - 12.30) Designs constrains in fMRI (Dr Alexa Morcom)

- On-site lunch Appleton Tower concourse

- (13.30-17.00) Matlab basics (Dr Cyril Pernet et al)

 

Tuesday 2nd April: Theory for fMRI pre-processing and univariate modelling

Gaddum lecture theater AM and room 1.2 Lister Building PM

- (9-9.00) Welcome and SPM history (Dr Cyril Pernet)

- (9.30-9.45) Slice timing (Dr Cyril Pernet)

- (9.45-10.45 // 11-11.45) Image registration and normalization (Dr John Ashburner)

- (11.45-12.30) Modeling fMRI data: general linear modelling 1 (Dr Martyn Mcfarquhar)


- On-site lunch Appleton Tower concourse

- (13.30-14.45) Modeling group data: general linear modelling 2 (Dr Alexa Morcom)

- (14.45-15.30) Within and between subject contrasts: general linear modelling 3 (Dr Martyn Mcfarquhar)

- (15.45-16.30) Statistical inference (Dr Cyril Pernet)

- (16.30-17.00) Data Visualization (Dr Cyril Pernet)

 

Wednesday 3rd April: Practical for fMRI pre-processing and univariate modeling

Hugh Robson Building computer lab

- (9.00-17.00) process data at your own pace: one computer per participants, dedicated data and manual, several assistants to help you progress, group review of problems and results

- On-site lunch Appleton Tower concourse

 

Thursday 4th April: Connectivity Analyses

Room 2.14 Appleton Tower AM and BMTO Teaching Rooms PM

- (9-9.30) Welcome

- (9.30-10.30) Functional connectivity overview (Roselyne Chauvin)

- (10.45-11.45) Effective connectivity: DCM (Dr Daniele Marinazzo)

- (11.45-12.30) Inferential brain mapping: from uni to multivariate pitfalls (Dr Cyril Pernet)

- On-site lunch Appleton Tower concourse

- Afternoon workshops to choose from newbie MVPA, Representational Similarity Analyses in practice (RSA), task based connectivity (Seed, PPI, Beta series), Dynamic Causal Modelling (DCM).

Friday 5th April Multivariate methods

Room 2.14 Appleton Tower AM and BMTO Teaching Rooms PM

- (9.15-10.15) Multivariate GLM for uni- (rep. measures) and multi-modality imaging (Dr Martyn Mcfarquhar)

- (10.30-11.30) Pattern Classification (Dr Christophe Phillips)

- (11.30-12.30) Representational Similarity Analyses (Dr Ian Charest)

- On-site lunch Appleton Tower concourse

- Afternoon workshops to choose from MVPA users (assumes you have some experience), Representational Similarity Analyses in practice (RSA), Multivariate GLM (combine multimodal data though GLM), HRF Deconvolution from rsfMRI, rsfMRI basics and connectopic mapping.

 

Workshops sofware packages

- Resting state functional connectivity: hrf deconvolution: intro - toolbox - datasets: 1, 2, 3

- Resting state basics (preprocessing) + connectopic mapping (get the toolbox here https://github.com/koenhaak/congrads) ! Python must be installed on your laptop

- Multivariate GLM (https://github.com/martynmcfarquhar/MRM)

- PRONTO Pattern Classification toolbox (http://www.mlnl.cs.ucl.ac.uk/pronto/prtsoftware.html)

- Representation Similarity Analyses (http://www.mrc-cbu.cam.ac.uk/methods-and-resources/toolboxes/)

 

 

 

 

     
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