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The 2015 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 will be available live in real-time at http://ctrl.ucla.edu/video/nitp/.

<Day 1 (8/3) Stream> <Day 6 (8/10) Stream>
<Day 2 (8/4) Stream> <Day 7 (8/11) Stream>
<Day 3 (8/5) Stream> <Day 8 (8/12) Stream>
<Day 4 (8/6) Stream> <Day 9 (8/13) Stream>
<Day 5 (8/7) Stream> <Day 10 (8/14) Stream>


Week 1 Monday
8/3
Tuesday
8/4
Wednesday
8/5
Thursday
8/6
Friday
8/7
Saturday
8/8
Sunday
8/9
Class Schedule
8:30 Welcome
Overview & Introductions

Cohen
<slides>
<feedback>
<video>
MR Physics II+
Ennis
<feedback>
General Linear Model I
Monti
<slides>
<feedback>
Non-Parametric Statistics I
Lindquist
<slides>
<feedback>
Functional Connectivity
Lenartowicz
<slides>
<feedback>
MRI Scanning Lab
9:45

Keynote:
Russ Poldrack
"The future of fMRI in cognitive neuroscience"
Room: CHS 13-105
<slides>
<feedback>
<video>

Pulse Sequences
Cohen
<slides>
<feedback>
General Linear Model II
Monti
<feedback>
Bayesian Statistics II
Lindquist
<slides>
<feedback>
PPI and PLS Lab
Lenartowicz
<PLS Material>
<PPI Material>
<Instructions>
<feedback>
10:45 BREAK
11 Intro to Neural Signaling
Cohen
<slides>
<feedback>
Data Preprocessing
Monti
<slides>
<feedback>
Group Analysis I
Monti
<slides>
<feedback>
Group Projects
An overview of Causal Modeling
McIntosh
<slides>
<feedback>
Noon LUNCH (provided!)
1:15 Neurovascular Coupling & Methods
Liu
<slides>
<feedback>
Experimental Design I
Bookheimer
<slides>
<feedback>
Group Analysis II
Rissman
<slides>
<feedback>
Multvoxel Pattern Analysis I
Haxby
<slides>
<feedback>
Building The Virtual Brain
McIntosh
<slides>
<feedback>
2:15 MR Physics I
Ennis
<slides>
<feedback>
Experimental Design II
Monti
<slides>
<feedback>
MR Artifacts
Cohen
<slides>
<feedback>
Multvoxel Pattern Analysis II
Haxby
<feedback>
A brief hands-on session, a.k.a., speed dating with The Virtual Brain
McIntosh
<software>
<feedback>
3:15 BREAK
3:30 MR Physics II
Ennis
<feedback>
Data Preprocessing & Scripting
Monti & Lenartowicz
<materials>
<feedback>
Group Projects
Machine Learning Lab
Douglas & Haxby
<slides>
<instructions>
<materials>
<feedback>
Dynamic Causal Modeling
Anderson
<slides>
<feedback>
4:30 Course Software Installation <Virtual Image>
<Instructions>
<feedback>
Sequence Parameter Tradeoffs
Cohen
<Slides>
Contrast, CNR,
K-space.
<MATLAB sources>
<feedback>
Group Projects MRI Safety
Cohen
<Slides>
<feedback>
The weekend begins!  
    Barney’s Beanery
(7pm)
NITP Banquet
Napa Valley Grille
(6:30pm)
     
 
Week 2 Monday
8/10
Tuesday
8/11
Wednesday
8/12
Thursday
8/13
Friday
8/14
   
8:30 Resting State
Snyder
<slides>
<feedback>
Group ICA
Calhoun
<slides>
<feedback>
Diffusion 101
Cohen
<slides>
Anatomical Connectivity DTI/DSI
Wedeen
<slides>
<feedback>
Data Mining / Big Data
Yarkoni
<slides>
<feedback>
Careers in Neuroimaging
Steve Grant & Panel
<slides>
<feedback>
PalmTrees

9:45

Practical Issues in Resting State
Snyder
<slides>
<feedback>
Multimodal ICA
Calhoun
<slides>
<feedback>
Neurosynth Lab
Yarkoni
<feedback>

9:45
Blue Group(1)

10:30
Pink
Group

11:15
Orange
Group

10:45   Photo DayBREAK
11 High Field MRI
Kâmil Uğurbil
<slides>
<feedback>
ICA with GIFT
Calhoun <feedback>
TrackVis
Wedeen
<materials (1)>
<materials (2)>
<feedback>
Compressive Sensing
Kelly
<slides>
<feedback>
Comments - Cohen
Noon LUNCH (provided!)
1:15

Keynote:
Kâmil Uğurbil
"Imaging Function and Connectivity in the Human Brain with High Magnetic Fields"
Room: CNSI Auditorium <slides>
<feedback>

Group Projects
BrainSuite
Shattuck
<slides>
<feedback>
fNIRS Presentation and Demo
Boas
<slides>
<feedback>

1:45
Red
Group

2:30
Green
Group

2:15 Graph Analysis
Sadaghiani
<slides>
<feedback>
Network Analysis
Sadaghiani
<slides>
<feedback>
BrainSuite Lab
Shattuck
<BrainSuite>
<materials>
<feedback>
3:15 BREAK
3:30 Artifact Removal Lab
Mazaika
<slides>
<software>
<materials>
<feedback>

ICA Denoising Lab
Moore
<slides>
<materials>
<feedback>
DCM Lab
Douglas
<slides>
<materials (1)>
<materials (2)>
<feedback>
Group Projects

3:30
Purple Group

4:30
Group Projects
 
Let's have some fun.
             
Lab session   Group project      

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

NEW: Suggested reference links from the talks

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

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...
Here are some primers that Mark wrote:
groupPhoto
  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