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Introduction / Overview 2 nd November 2011 Rumana Chowdhury & Peter Smittenaar & Suz Prejawa Wellcome Trust Centre for Neuroimaging, UCL.

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Presentation on theme: "Introduction / Overview 2 nd November 2011 Rumana Chowdhury & Peter Smittenaar & Suz Prejawa Wellcome Trust Centre for Neuroimaging, UCL."— Presentation transcript:

1 Introduction / Overview 2 nd November 2011 Rumana Chowdhury & Peter Smittenaar & Suz Prejawa Wellcome Trust Centre for Neuroimaging, UCL

2 Methods for Dummies 2011 Basic Statistics fMRI (BOLD) EEG / MEG Connectivity VBM & DTI Introduction to MfD 2011 Areas covered in MfD Wednesdays / 13h00 – 14h00 / FIL Seminar Room Aim: to give a basic introduction to human brain imaging analysis methods, focusing on fMRI and M/EEG

3 Update to this ppt: please note that names assigned to talks have changed!

4 I. Basic Statistics 9 th Nov – 7 th Dec Linear Algebra & Matrices (Othman Al-Helli & Narges Bazargani) T-tests, ANOVA’s & Regression (Alexander Moscicki & Andrea Banino) General Linear Model (Anne Urai & Michael Trimble) Bayes for beginners (Luzia Troebinger & Ashwini Oswal) Random Field Theory (Stefania Kaninia & Laurel Morris) Introduction to MfD 2011

5 II. What are we measuring? 14 th Dec Basis of the BOLD signal (Laura Wolf & Peter Smittenaar) Introduction to MfD 2011 Christmas break, no talks on 21 st and 28 th Dec

6 III. fMRI Analysis 4 th & 11 th Jan Preprocessing: –Realigning and un-warping (Punit Shah & Emma Davis) –Co-registration & spatial normalisation (Eleanor Loh & … ) Introduction to MfD 2011

7 Study design and efficiency (Arman Eshaghi & Kristina DeDuck) 1 st level analysis – Design matrix contrasts and inference (Hsuan-Chen Wu & …) 1 st level analysis – Basis functions, parametric modulation and correlated regressors (Max-Philipp Stenner & …) 2 nd level analysis – between-subject analysis (Meghan Morley & …) III. fMRI Analysis (cont.) 18 th Jan – 8 th Feb

8 II. What are we measuring? 15 th Feb Basis of the M/EEG signal (Spas Getov & …) Introduction to MfD 2011

9 IV. EEG & MEG 22 nd & 29 th Feb Pre-processing and experimental design (Sarah Jensen & …) Contrasts, inference and source localisation (Budnik & …) Introduction to MfD 2011

10 V. Connectivity 7 th, 14, 21 st March Intro to connectivity - PPI & SEM (Leona Enke & Emma Jayne Kilford) DCM for fMRI – theory & practice (… & …) DCM for ERP / ERF – theory & practice (Elizabeth Mallia & …) Introduction to MfD 2011

11 VI. Structural MRI Analysis 28 th March & 4 th April Voxel Based Morphometry (Fahid Rasul & …) Basic DTI (Silvia Kreutzer & …)

12 Introduction to MfD 2011 Prize alert! As a way of saying thank you for taking part, this year the ‘best’ presenters will be awarded a very exciting prize… or depending on budget:

13 How to prepare your presentation Remember your audience are not experts… The aim of the sessions is to –introduce the concepts and explain why they are important to imaging analysis –familiarise people with the basic theory and standard methods Time: 45min. + 15min. questions – 2 presenters per session Don’t just copy last year’s slides, improve them! Talk to the allocated expert 1 week in advance Introduction to MfD 2011 Read the Presenter’s guide ( http://www.fil.ion.ucl.ac.uk/mfd/guide.pdf )

14 What if I can’t make my presentation? try and find someone else to swap with…. …if you still can’t find a solution, then get in touch with Peter or Rumana at least 3 weeks before the talk. Introduction to MfD 2011

15 Acronyms DCM – dynamic causal model DTI – diffusion tensor imaging FDR – false discovery rate FFX – fixed effects analysis FIR – finite impulse response FWE – family wise error FWHM – full width half maximum GLM – general linear model GRF – gaussian random field theory HRF – haemodynamic response function ICA – independent component analysis ISI – interstimulus interval PCA – principal component analysis PEB – parametric empirical bayes PPI – psychophysiological interaction PPM – posterior probability map ReML – restricted maximum likelihood RFT– random field theory RFX – random effects analysis ROI – region of interest SOA – stimulus onset asynchrony SPM – statistical parametric mapping VBM – voxel-based morphometry

16 Where to find help Key papers Previous years’ slides Human Brain Function Textbook (online) SPM course slides Cambridge CBU homepage (Rik Henson’s slides)Cambridge CBU homepage Methods Group Experts Monday Methods Meetings (4 th floor FIL, 12.30) SPM email List Friday Project presentations (4 th floor FIL, 3pm) Introduction to MfD 2011 MfD HomeResources http://www.fil.ion.ucl.ac.uk/spm/doc/mfd/2011/page2/page2.html

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