The UCLA Advanced Neuroimaging Summer program - 2010

	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 2010 Fourth Annual Summer Program will runfrom July 12 through July 23 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 exploring the use of multiple modalities to answer neuroscientific questions. 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.
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.
Preliminary Schedule for the Summer 2010 Session (subject to change) 7/12 7/13 7/14 7/15 7/20 8:30 Intro and Overview Cohen, Bookheimer Hemodynamics Buxton Psychophysics for fMRI Lenartowicz Statistical Modeling Mumford Advanced fMRI Modeling: % change, power Mumford 9:30 MRI acquisition I Cohen Relating neurophysiology and imaging signals Buxton 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 Expermimenal design I Bookheimer fMRI preprocessing Jenkinson fMRI data analysis - single subject Cohen fMRI Design Optimization and Quantitative Blood Flow Liu Noon Lunch 1:15 fMRI acquisition Lee Exp design II Bookheimer 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 Registration, fMRI processing exercises preprocessing lab Multiple comparisons Mumford More fMRI analysis exercises advanced FEAT lab 3:30 Anatomy exercise Breakout with groups- design stage Group breakouts - finalize study design Exercises-artifacts lab / basic FEAT lab Program tasks- MATLAB or Macstim 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 Connectivity modeling, SEM Poldrack ERP/MEG/fMRI Simpson PET methods and ligands (tbn) tba 9:30 Bayesian statistics Lindquist Network analysis (tbn) Intermodality registration, theory (tbn) Imaging-genetics I: Techniques Glahn Q&A: Ask the Experts 10:30 Break 11:00 Nonparametric Statistics Lindquist Resting state fMRI (tbn) DTI and advanced physics Wedeen Imaging genetics II: Analyses Glahn Group Presentations Noon Lunch 1:15 Machine learning Poldrack EEG intro S. Jeste DTI analysis Wedeen tba Group Presentations 2:15 Functional connectivity Poldrack EEG-fMRI technology spectral analysis M. Cohen PET-MRI integration Thompson tba Closing Remarks, Reception 3:30 Group Project Analysis EEG-fMRI Demo High Resolution Tractography Lab Group Project Analyses Site Visit to Local Brewery Faculty Susan Bookheimer - UCLA Psychiatry Rick Buxton - UCSD Radiology Mark Cohen - UCLA Psychiatry David Glahn - Yale University Shafali Jeste - UCLA Psychiatry Jin-Hyung Lee - UCLA Electrical Engineering Agatha Lenartowicz - UCLA Psychiatry Martin Lindquist - Columbia University Thomas Liu - Dir, UCSD Ctr for Functional MRI Paul Matthews - VP, Imaging Genetics & Neurology, GSK Jeanette Mumford - UT Austin Russell Poldrack - Dir, Imaging Research Ctr, UT Austin Gregory Simpson - UCSF Jack van Horn - UCLA Van Wedeen - Harvard Radiology ...more to be announced

 

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