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| Introduction to Brain Mapping and Neuroimaging |
Course Description
Auditorium: Brain Mapping Center #221
Tue & Thu 10:00 - 11:15 AM
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This course will introduce the students to the modern methods of brain mapping and neuroimaging research. The course instructors have a wide range of expertise and will cover the basics of the state-of-the-art techniques for image acquisition, data pre-processing, analysis and visualization. A variety of applications in brain research and computational neuroscience will be discussed.
| Course Director |
Lecturers |
Arthur W. Toga, Ph.D.
Professor of Neurology
UCLA David Geffen School of Medicine
E-mail: toga@loni.ucla.edu |
Ivo D. Dinov, Ph.D.
Assistant Professor
Statistics, ivo.dinov@loni.ucla.edu
David Shattuck, Ph.D., Assistant Professor Neurology, shattuck@loni.ucla.edu
Susan Bookheimer, Ph.D., Professor Psychiatry & Biobehavioral Sciences, sbook@ucla.edu
Elizabeth Sowell, Ph.D., Assistant Professor Neurology, esowell@loni.ucla.edu
George Bartzokis, M.D. , Professor Neurology, gbar@ucla.edu
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Instructor's Offices: Laboratory of Neuro Imaging, Neuroscience Research Bulding, 635 Charles Young Dr., Suite 225, UCLA, Los Angeles, CA 90095
Map: http://www.ucla.edu/map
LONI Lab: http://www.loni.ucla.edu/
Office Hours: By arrangement
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Grading policy and basis for Final Grade
Tentative schedule of examinations:
- Projects: 3rd, 6th and 9th week of classes:
- Take-home Final: Week 10
Project Assignment Policy |
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Textbook:
Brain Mapping: The Methods
Arthur W. Toga & John Mazziotta, University of California, Los Angeles, U.S.A.
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Topics:
- Introduction to Neuroimaging and Brain Mapping Terminology
- Review of Neuroanatomy
- The Physics of Neuroimaging (invasive and non-invasive, structural vs. functional, digital data representation)
- The Normal Brain: The Developing Brain, Matured Brain, Aging Brain
- Diseases: Depression, Schizophrenia, Autism, Bipolar disorder, Neurodegeneration and dementia (AD), Epilepsy, Multiple Sclerosis, Methamphetamine, Fetal Alcohol Syndrome, Head Trauma, Tumors.
- Challenges in computational neuroscience and brain imaging
- Preprocessing methods in Neuroimaging (intensity modulation, spatial normalization, filtering)
- Volumetric and Surface modeling, representation and analysis
- Statistical methods in structural and functional neuroimaging
- The LONI Grid-Compute Pipeline Environment
- Imaging in Psychology and Psychiatry
- Behavior, Memory, Language and Cognition
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