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The UCLA Advanced Neuroimaging Summer program

Classes meet at the UCLA Faculty Center, 480 Charles E. Young Dr. East, Los Angeles, CA, 90095

Classroom

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.

This year, we have enhanced out course schedule with a mini-course in MRI physics, covering advanced methods that help us to the limits of useable resolution. Responding to comments in prior years, we have increased the number of labs and peppered them throughout the day.

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.

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 <this link.>

We archive our webcasts at Livestream.com. The (Video) for any lecture links to a recorded video. You can see the archived 2011 summer program at our video on demand web page.

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.

Lectures are simulcast on the internet at www.livestream.com/nitpsummercourse.

Class Schedule
Week 1 Monday
7/8
Tuesday
7/9
Wednesday
7/10
Thursday
7/11
Friday
7/12
Saturday
7/13
Sunday
7/14
8:30 Welcome.
Overview of fMRI

Cohen
<slides>

Signal and Contrast
Ennis
<slides>

 

Artifacts and Image Quality
Cohen
<slides>

Single Subject Analysis II
Monti
<slides>

Later start today! ZZZZ.

Scan
Group
I
Scan
Group
V
Beta Series and PPI
Rissman
<slides>
9:30

MRI Safety
Cohen
<slides>

Group Analysis I
Monti
<slides>

Beta Series and PPI Lab
Rissman
<materials>
<materials>
10:30 Break Photo day - Break Break Map to MRI Scanner
11:00

Experimental Design I
Bookheimer
<slides>

Group Projects Group Projects

Group Analysis II
Rissman
<slides>

Break

Scan
Group
II
Scan
Group
VI
Motion and Diffusion
Cohen
<slides>
Noon Lunch on your own
1:15

Experimental Design II
Monti
<slides>

Common Sequences & Options
Cohen
<slides>

fMRI Preprocessing
Monti
<slides>

Non-Parametric Methods
Lindquist
<slides>

DSI and Tractography
Wedeen
<slides>

Scan
Group
III
Scan Group VII
2:15

Psychophysics
Lenartowicz
<slides>

Single Subject Analysis I: First Level Analysis
Monti
<slides>

Bayesian Inference
Lindquist
<slides>

Connectivity and Biology
Wedeen
<slides>

3:15 - 5:15

Psychophysics Lab
Lenartowicz
<TechPSA>
<DownloadPTB.m>
<materials>

Advanced Imaging Sequences
Feinberg
<slides - 1>
<slides - 2>

Artifact Removal
Rissman
<slides>
<mirror of slides>

FSL Scripting and Advanced Analysis
Bramen
<slides>
<materials>

TrackVis
Wedeen
<materials>

Scan
Group
IV

Informed Consent Materials

<Subject Consent>

<Consent Comprehension>

<Screening Forms>

Artifact Removal Lab
Rissman
<TechPSA>
<ART data>
<fmriqa data>
Eve.   Hosted Dinner at the Napa Valley Grill  
 
Week 2 7/15 7/16 7/17 7/18 7/19
8:30

Dynamic Causal Modeling
Anderson
<slides>

Graph Theory
Tomson
<slides>

Data Mining
Yarkoni
<slides>

NYTimes on Shrinkage

fMRI and EEG
Cohen
<slides>

Neuroimaging Career Panel
Grant

Advanced Normalization Tools
Avants
<slides>

9:30

Approaches to Dimension Reduction
Douglas
<slides>

Graph Theory Lab
Tomson
<QUIC>
<lab materials>

Neurosynth Lab
Yarkoni
<neurosynth>

Transcranial Direct Current Stimulation
Clark
<slides>

Purple group Presentation
Green group Presentation
10:30 Break
11:00

Group ICA
Calhoun
<slides>

Machine Learning I
Rissman
<slides>

New Ideas in fMRI Analyses
Gallant
<slides>

Morphometric Analysis
Kennedy
<slides>

Blue group
Presentation
Red group Presentation
Noon

Lunch on your own

1:15

Multivariate Methods for Multimodal Imaging
Calhoun
<slides>

Machine Learning II
Rissman
(same slides as above)

Resting State
Birn
<slides>

BrainSuite
Shattuck
<slides>

Pink group
Presentation

Yellow group
Presentation
2:15

ICA with GIFT Lab
Calhoun
<GIFT and Sample Data>

Machine Learning Lab
Douglas
<WEKA>
<materials>

MELODIC ICA lab: Artifact removal
Moore
<slides>

<materials>

BrainSuite lab
Shattuck
<slides>
<BrainSuite13>
<Installaltion Info>
<materials>

Orange group Presentation
Discussion of Presentations
3:15

DCM Lab
Torrisi
<materials>

Group Projects Group Projects Group Projects

Farewell

No Host Party

Westwood Brewery

4:15 - 5:15 Group Projects

If your experiments involve simple resting state data, or practice with DTI analysis, please consider using scans already available from sources such as the Human Connectome Project.

LEGEND Webcast Lecture Lab (not webcast) Group Project (not webcast)

MRI mini-course
(webcast)

Late Additions:
<MRI & FFT Demos>

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 July 18, 2013

A few questions that came up during the course:
Can you recommend a good brain atlas?
Dr. Bookheimer recommends the Duvernoy, Mai and, of course, Talairach & Tournoux atlases.

Mark likes a variety of digital atlases including those included in fslview and in afni, as well as the convenient iPad atlases: 3DBrain and BrainView and, for $1.99, BrainTutor HD.
groupPhoto
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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