HST.583 Functional Magnetic Resonance Imaging: Data Acquisition and Analysis, Fall 2006
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Author(s) • • • • • • • • •
Gollub, Randy L.
Banzett, Robert B.
Bolar, Divya S.
Buckner, Randy
Dickerson, Bradford
Gabrieli, John D. E.
Whitfield-Gabrieli, Susan
Greve, Doug
Hadjikhani, Nouchine
Helmer, Karl
Alternative Title
Functional Magnetic Resonance Imaging: Data Acquisition and Analysis
Date Issued
December 2006
Abstract
This team taught, multidisciplinary course covers the fundamentals of magnetic resonance imaging relevant to the conduct and interpretation of human brain mapping studies. The challenges inherent in advancing our knowledge about brain function using fMRI are presented first to put the work in context. The course then provides in depth coverage of the physics of image formation, mechanisms of image contrast, and the physiological basis for image signals. Parenchymal and cerebrovascular neuroanatomy and application of sophisticated structural analysis algorithms for segmentation and registration of functional data are discussed. Additional topics include fMRI experimental design including block design, event related and exploratory data analysis methods, building and applying statistical models for fMRI data. Human subjects issues including informed consent, institutional review board requirements and safety in the high field environment are presented.
Subjects
medical imaging
medical lab
medical technology
magnetic resonance imaging
fMRI
signal processing
human brain mapping
function
image formation physics
metabolism
psychology
image signals
parenchymal
cerebrovascular neuroanatomy
functional data analysis
experimental design
statistical models
human subjects
informed consent
institutional review board requirements
safety
medical
brain scan
MIT Department
Harvard University--MIT Division of Health Sciences and Technology
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