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The 2016 UCLA Advanced Neuroimaging Summer program

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 magnetic resonance 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.

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 Final Evaluation Form

The (Video) for any lecture links to a recorded video. You can watch recorded the summer programs for prior years at our Archive Link web site.

Thanks to the generosity of the United States National Institutes of Health 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.

The lectures are available live at http://ctrl.ucla.edu/video/nitp/.
A chat page, allowing you to post questions in real time, is available. To access this, go the CTRL link above, then click the YouTube button at the bottom right.

The course software (except MATLAB) can be downloaded from http://brainmapping.org/NITP/2016Data/VMInstructions.html

Class Schedule
Week 1 Monday
7/11
Tuesday
7/12
Wednesday
7/13
Thursday
7/14
Friday
7/15
Saturday
7/16
9:00 Welcoming Remarks
Cohen
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GLM 1
Monti
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Functional Connectivity / PPI
Lenartowicz
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<ppi>
Diffusion MRI and the Fiber Architecture of the Brain
Wedeen
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<feedback>
Are Your Analyses Too Parametric?
Monti
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PalmTrees
9:30 Neural Signaling
Cohen
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10:00 Overview of the BOLD Experiment
Cohen
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Q&A / Break Truth & Lies Q&A / Break Non-Parametric Approaches
Lindquist
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10:30 Q&A / Break GLM 2
Monti
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PPI Lab
Lenartowicz
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<ppi>
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MVPA Overview and Practical Considerations
Rissman
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11:00 Data Processing
Monti
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Q&A / Break
11:30

Design Optimization Lab
Monti
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MRI Tutorial
(optional)

Cohen
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Bayesian Statistics in Neuroimaging
Lindquist
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Noon LUNCH (provided!) LUNCH (provided!)
12:30 LUNCH (provided!) LUNCH (provided!) LUNCH (provided!)
1:00 Truth & Lies
1:30 How Can fMRI Inform the Structure of the Mind?
Poldrack
Public Keynote
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Introduction to Diffusion Weighted Imaging
Wedeen
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<feedback>
BrainSuite
Shattuck
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<video>
2:00 Group Analysis
Monti
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<feedback>
MVPA (cont'd)
Rissman
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<feedback>
2:30 Q&A / Break
3:00 Experimental Design 1
Bookheimer
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<feedback>

TrackVis
Wedeen
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<materials 1 (trk)>
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Q&A / Break Artifact detection
Rissman
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<feedback>
3:30 BrainSuite Interactive Lab
Shattuck
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<feedback>
Student Data Blitz
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4:00 Q&A / Break Q&A / Break Beta Series Correlation Analysis
Rissman
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<feedback>
4:30 Experimental Design 2
Monti
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ROI and Brain-Behavior Correlations: Avoiding Circularity
Rissman
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Truths and Lies
Class
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Truth & Lies Debate prep
5:00 Free
5:30 Q&A Happy Hour
6:00       Group Dinner and Party  
 
Week 1 Monday
7/18
Tuesday
7/19
Wednesday
7/20
Thursday
7/21

Friday
7/22

Saturday
8/8
9:00 Advanced Techniques in MRI
Cohen
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Graph Theory / Network Analysis
Brown
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Detailed cortical mapping of cognitive function.
Gallant
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<feedback>
Pediatric Functional Imaging
Sowell-Crowell
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<feedback>
Navigating the NIH
Steven Grant
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<feedback>
 
9:30
10:00 Q&A / Break Q&A / Break Q&A / Break Q&A / Break Career Panel
Faculty
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10:30 Break Group ICA
Calhoun
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Current controversies and future directions in human neuroimaging research
Gallant
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Dynamic Causal Modeling
Anderson
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11:00 Electrical Stimulation: Mapping mononsynaptic connectivity and cortico-thalamo-cortical loops
Logothetis
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Debates in Neuroimaging
Attendees
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11:30 Multi Modal Fusion
Calhoun
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<feedback>
Q&A
PHOTO DAY!
Break
Dynamic Causal Modeling: EEG
Douglas
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<feedback>
Noon LUNCH (provided!) LUNCH (provided!) LUNCH (provided!) LUNCH (provided!)
12:30 LUNCH (provided!)
1:00 A common model of representational spaces in human cortex
Haxby
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<feedback>
Debates in Neuroimaging
Attendees
<slides>
<feedback>
1:30 Dynamic Functional Connectivity
Calhoun
<slides>
<feedback>
Interpreting Machine Learning - Weka Brain Toolbox & Lab
Douglas
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<feedback>
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Machine Learning Lab

<slides>
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2:00
NET-fMRI of Large -Scale Brain Networks
Logothetis
NRB Conference Room
<slides> <feedback>
GIFT Toolbox Tutorial
Calhoun
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<feedback>
Q&A / Break
2:30   Debate Teamwork What's wrong with models of the ventral visual pathway?
Haxby
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<feedback>
Q&A / Break
3:00 Q&A / Break Q&A / Break Q&A / Break functional MRI in 2016: Closing Remarks
Cohen
<slides>
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3:30

Student Data Blitz
<slides>
<feedback>

Meta-analytic Approaches
Yarkoni
<slides>
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ICA Denoising
Moore
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Q&A / Break
4:00 PyMVPA Tutorial
Guntupalli
<slides>
<feedback>
<hyperalignment data><-- Leave this file in zipped format!
<tutorial data>
 
4:30  
5:00        

Final Course Evaluation

We would be very grateful if you fill in this Final Evaluation Form after completing the course,
either in person, or online. We will study your responses carefully and use them in planning the 2016 program

Under construction: Suggested reference links from the talks
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.
I'd like to learn more about Fourier math...
"Complex Amplitude" by Jo Anne Fordham, Mississippi, 2012
Here are some primers that Mark wrote:
Can you suggest some good reading on MRI?
Mark is partial to the online MRI primer by Joseph Hornak, and to the eMRI course for basic material. Mark has a more in-depth MRI slide set that might be useful. Ask Mark if you seek more advanced reading.
  Brainmapping.org home       UCLA Home

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