Neuroscience
172
Winter 2006
|
Introduction
to Brain Mapping
and
Neuroimaging
|
Course Description
This course will introduce the students to
the
modern methods of brain mapping and neuroimaging research. The wide
range of
expertise of the instructors will allow covering 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:
Arthur
W. Toga, Ph.D.
Professor of Neurology
UCLA David Geffen School of Medicine
E-mail: toga@loni.ucla.edu
|
Lecturers:
- Ivo
D. Dinov, Statistics & Neurology,
- David
Shattuck, Neurology, shattuck@loni.ucla.edu
- Susan
Bookheimer, Psychiatry & Biobehavioral Sci's,
- Elizabeth
Sowell, Neurology, esowell@loni.ucla.edu
- George
Bartzokis, Neurology & ADRC, gbar@ucla.edu
|
Instructor's Offices: LONI, 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
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:
|
Textbook:
|
Topics
1. Introduction to Neuroimaging
and Brain Mapping Terminology (1)
2. Review of Neuroanatomy (2)
3. The Physics of Neuroimaging (invasive and non-invasive, structural
vs. functional, digital data representation) (2)
4. The Normal Brain: The Developing Brain, Matured Brain, Aging Brain
(2)
5. Diseases: Depression, Schizophrenia, Autism, Bipolar disorder,
Neurodegeneration and dementia (AD), Epilepsy, Multiple Sclerosis,
Methamphetamine, Fetal Alcohol Syndrome, Head Trauma, Tumors.(2)
6.
Challenges in computational neuroscience and brain imaging (1)
7. Preprocessing methods in Neuroimaging (intensity modulation, spatial
normalization, filtering) (1)
8. Volumetric and Surface modeling, representation and analysis (3)
9. Statistical methods in structural and functional neuroimaging (2)
10. The LONI Grid-Compute Pipeline Environment (2)
11. Imaging in Psychology and Psychiatry (1)
12. Behavior, Memory, Language and Cognition (1)
Computers
and Software
LONI,
SOCR & R-Tutorial
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