Course Schedule

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PDFs of the lecture slides are available for many of the talks below. These slides are not to be reproduced, distributed, or presented in a public forum without the prior permission of the speaker.

Contents

Monday, Aug 13

08:30 Intro & overview (Poldrack & Cohen)
09:30 MRI acquisition: basics (Cohen)
11:00 MRI acquisition: advanced (Cohen)
12:00 lunch
13:15 fMRI acquisition (Cohen)
14:15 An introduction to cognitive neuroscience (Poldrack) Slides
15:30 Introduction to neuroanatomy (John Allman)

Tuesday Aug 14

08:30 Hemodynamics and fMRI signals (Buxton)
09:30 Relating neurophysiology and imaging signals (Buxton)
11:00 Basic fMRI experimental design (Poldrack) Slides
12:00 lunch
13:15 Advanced fMRI experimental design (Poldrack)Slides
14:15 Physiological recording for fMRI (Naliboff)
15:30 Group breakout - brainstorm on studies
Anatomy exercises (anatomy exercise lab)

Wednesday Aug 15

08:30 Psychophysics for fMRI (Kalar)
09:30 Ethical and safety issues in neuroimaging (Poldrack) Slides
11:00 Image registration and warping (Jenkinson)
12:00 lunch
13:15 fMRI preprocessing  (Jenkinson)
14:30 preprocessing exercises at computer lab - computer lab (preprocessing lab)
15:30 group breakouts - finalize study design

Thurs Aug 16

08:30 fMRI artifact detection and quality control (Cohen/Jenkinson)
11:00 Computational anatomy (Sowell)
12:00 lunch
13:15 Statistical modeling (Mumford) (Slides for modeling and inference talks)
14:15 Statistical inference (Mumford)
15:30 group breakouts - implement study
artifacts and basic modeling exercises (artifacts lab \ basic FEAT lab)

Friday Aug 17

08:30 fMRI data analysis - single subject (Poldrack)Slides
09:30 fMRI data analysis - group (Mumford) Slides
11:00 Multiple comparisons (Mumford) Slides
12:00 lunch
13:15 fMRI analysis practice in computer lab (advanced FEAT lab)
15:30 group breakout - test study for scanning
19:00 Group dinner (Napa Valley Grill)

Saturday Aug 18/Sunday Aug 19

10 AM - 4 PM MRI data collection (UCLA Brain Mapping Center)

Monday Aug 20

08:30 Advanced fmri modeling: percent change and power analysis (Mumford) Slides
09:30 Reporting fMRI data: Whole-brain and region-of-interest analyses (Poldrack) Slides
11:00 Nonparametric inference (Nandy)
12:00 lunch
13:15 Software package comparisons (Poldrack)
15:00 Group data analysis exercises- at computer lab (group FEAT lab)

Tuesday Aug 21

08:30 Bayesian models (Boscardin)
11:00 fMRI design optimization (Liu)
12:00 lunch
13:15 Diffusion tensor imaging: intro (Poldrack)
14:30 Data analysis - at computer lab

Wednesday Aug 22

08:30 Functional connectivity (Gitelman)
11:00 Resting state analyses (Greicius)
12:00 lunch
13:15 Practice with connectivity modeling - computer lab (connectivity lab)

Thursday Aug 23

08:30 EEG/MEG - fundamentals (Dimitrios Pantazis, USC)
09:30 EEG/MEG - analysis (Dimitrios Pantazis, USC)
11:00 Simultaneous EEG/fMRI (Cohen)
12:00 lunch
13:15 data analysis - at computer lab

Friday Aug 24

08:30 Scanning difficult populations: Pediatric and clinical fMRI (Bookheimer)
09:30 Setting up an analysis lab: Data organization and project management (Poldrack) Slides
11:00 Informatics and fMRI (Van Horn)
12:00 lunch
13:15 Group data presentations

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