HST.583 Functional Magnetic Resonance Imaging: Data Acquisition and Analysis


Class Info

Provides background necessary for designing, conducting, and interpreting fMRI studies in the human brain. Covers in depth the physics of image encoding, mechanisms of anatomical and functional contrasts, the physiological basis of fMRI signals, cerebral hemodynamics, and neurovascular coupling. Also covers design methods for stimulus-, task-driven and resting-state experiments, as well as workflows for model-based and data-driven analysis methods for data. Instruction in brain structure analysis and surface- and region-based analyses. Laboratory sessions include data acquisition sessions at the 3 Tesla MRI scanner at MIT and the Connectom and 7 Tesla scanners at the MGH/HST Martinos Center, as well as hands-on data analysis workshops. Introductory or college-level neurobiology, physics, and signal processing are helpful.

This class has 18.05, and 18.06 as prerequisites.

HST.583 will be offered this semester (Fall 2017). It is instructed by S. Whitfield-Gabrieli, J. Polimeni and A. Yendiki.

Lecture occurs 3:00 PM to 4:00 PM on Mondays and Wednesdays in 4-231.

This class counts for a total of 12 credits.

You can find more information at the http://www.google.com/search?&q=MIT+%2B+HST.583&btnG=Google+Search&inurl=https site or on the HST.583 Stellar site.

Required Textbooks
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MIT HST.583 Functional Magnetic Resonance Imaging: Data Acquisition and Analysis Related Textbooks
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