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The UCLA Advanced Neuroimaging Summer program

Each year we are pleased to be able to offer a two week intensive summer program on advanced topics in neuroimaging. The purpose of this course is to provide a solid foundation in state-of-the-art functional neuroimaging methods. The course covers all aspects of MRI-based neuroimaging data acquisition, experimental design, and data analysis. In addition, students will interact closely with these lecturers in hands-on laboratory exercises and data analysis projects.

Our 2011 Fifth Annual Summer Program will run from July 11 through July 22 and will be held on the UCLA campus. The course is presented as a mixture of classroom didactics and practical lab experience and is highly interactive. This year we are considering the issues of connectivity analyses and machine learning..

Our program is targeted to investigators with significant experience in neuroimaging who are eager to gain more tools and knowledge to apply to their work. This year we once again will have an extraordinary faculty of internationally known experts.

Watch live streaming video from nitpsummercourse at livestream.com

YOUR EVALUATIONS ARE EXTREMELY IMPORTANT TO US. Our ability to continue this program at all may depend on them (read more).

Even if you are looking at us online, we are very interested in your feedback and evaluations.Please take a moment to fill in the form at http://www.brainmapping.org/NITP/form/EvalForm.html

We have received comments that the technical quality of the webcast is sometimes problematic. Sadly, we are not professional broadcasters, though we are trying hard. To the extent that we can do so, we will adjust some of this in post-production. (Are there volunteers?) Contact mscohen@ucla.edu...

Archives of this webcast will be made available over the coming days. In some cases, where content was missing, we will upload repaired versions as they become available.

Thanks to the generosity of the National Institutes of Health under grant numbers T90 DA022768 and R90 DA023432 we are able to offer the course without tuition and are able to cover the costs of lodging for students form outside of the LA area. The program is open to applicants worldwide (though we are unable cover costs of travel). We are able to admit about 35 students each year.

The course will feature hands-on laboratory sections in neuroanatomy and image analysis, demonstrations of EEG-fMRI and an opportunity to design experiments and collect data at the UCLA Center for Cognitive Neuroscience imaging laboratory.

As in prior years, the lectures will be simulcast on the internet.

Schedule for the Summer 2010 Session (archived - 2011 schedule is coming)
  7/12 7/13 7/14 7/15 7/16
8:30

Intro and Overview
Cohen, Bookheimer

Expermimenal design I
Bookheimer

Psychophysics for fMRI
Lenartowicz

Statistical Modeling
Mumford

Advanced fMRI Modeling: % change, power
Mumford

9:30

MRI acquisition I

Cohen
MRI Physics I & II Slides

Exp design II
Bookheimer
Image registration –basic approaches
Jenkinson
Statistical inference
Mumford
Reporting fMRI data: Whole-brain and ROI analyses
van Horn
10:30 Break
11:00 MRI acquisition II
Cohen
Hemodynamics
Buxton
Hemodynamics Slides
fMRI preprocessing
Jenkinson
fMRI data analysis - single subject
Mumford
fMRI Design Optimization and Quantitative Blood Flow
Liu
Optimization/Flow Slides
Noon Lunch
1:15 fMRI acquisition
Lee

Relating neurophysiology and imaging signals
Buxton
Signals Slides

fMRI artifacts/quality control
Cohen
fMRI data group analysis
Mumford
Safety issues in neuroimaging
Cohen
2:15 Intro to Cognitive Science

Bookheimer
Neurophysiology and Imaging signals
Ringach

FSL Refresher/Advanced - Bramen, Brown

Registration and Warping - Burggren, Jenkinson

Group breakouts - finalize study design
Multiple comparisons
Mumford

Lab Orientation - Cohen

Pipeline - van Horn

3:30

MRI Physics - Cohen

LAB EXERCISE DOWNLOAD

Psychtoolbox - Lenartowicz
Advanced Group Statistics - Mumford, Bramen
Students Program tasks
Saturday and Sunday - Run Group-Designed Experiments at 3Tesla
  7/19 7/20 7/21 7/22 7/23
8:30

Imaging Genetics and Multimodal Approaches
Matthews
Imaging Genetics Slides

Connectivity modeling, SEM
Poldrack

ERP/MEG/fMRI
Simpson

Imaging-genetics I: Techniques
Glahn
Molecular Genomics slides

Some thoughts on setting up a lab
Cohen
Lab Setup Slides

9:30 Bayesian statistics

Lindquist
Network analysis
Dani Bassett
Intermodality registration, theory
(tbn)
Imaging genetics II: Analyses
Glahn
Quantitative Genomics slides

Group Presentations

10:30 Break
11:00 Nonparametric Statistics
Lindquist
Resting state fMRI
Avi Snyder
DTI and advanced physics
Wedeen

ICA and Group ICA for fMRI
Calhoun

Group Presentations
Noon Lunch
1:15 Machine learning
Poldrack
Experimental use of EEG
Jeste
EEG Slides
DTI analysis
Wedeen

A Multivariate Framework for Data Fusion
Calhoun

Group Presentations
2:15 Functional connectivity
Poldrack
EEG-fMRI technology spectral analysis
Cohen
 

ICA practical lab
Lenartowicz
Shirinyan

Closing Remarks, Reception
3:30 Machine Learning - Douglas
SEM, DCM, PPI - Lenartowicz High Resolution Tractography Lab - Brown, Wedeen
Group Project Analyses
Q&A Ask the Experts

Faculty (those indicated by * are offering lab experiences
...more to be announced

APPLICATION INFORMATION

If you are interested in applying to the UCLA Advanced Neuroimaging Summer Program for 2011, we will be announcing the dates and process in the first quarter of 2011 at http://www.brainmapping.org/Summer2011.php (<- This link is not yet active)

SOME QUESTIONS and ANSWERS about the summer program. This page is updated frequently, so you may wish to refer to it from time to time.

updated May 3, 2010

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The UCLA Neuroimaging Training Program is funded by generous awards from the National Institutes of Health, grant numbers R90 DA022768 and T90 DA023422