Sangam: A Confluence of Knowledge Streams

HST.583 Functional Magnetic Resonance Imaging: Data Acquisition and Analysis, Fall 2006

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dc.creator Gollub, Randy L.
dc.creator Banzett, Robert B.
dc.creator Bolar, Divya S.
dc.creator Buckner, Randy
dc.creator Dickerson, Bradford
dc.creator Gabrieli, John D. E.
dc.creator Whitfield-Gabrieli, Susan
dc.creator Greve, Doug
dc.creator Hadjikhani, Nouchine
dc.creator Helmer, Karl
dc.creator Kanwisher, Nancy
dc.creator Kennedy, David N. (David Nelson), 1962-
dc.creator Mandeville, Joe
dc.creator Manoach, Dara
dc.creator Melcher, Jennifer R.
dc.creator Moore, Christopher
dc.creator Napadow, Vitaly
dc.creator Pujol, Sonia
dc.creator Rosen, Bruce Robert
dc.creator Salat, David
dc.creator Savoy, Robert
dc.creator Sodickson, Dan
dc.creator Sorensen, A. Gregory
dc.creator Triantafyllou, Christina
dc.creator Vangel, Mark Geoffrey
dc.creator Wald, Lawrence
dc.creator Yendiki, Anastasia
dc.date 2006-12
dc.date.accessioned 2022-05-04T06:26:26Z
dc.date.available 2022-05-04T06:26:26Z
dc.identifier HST.583-Fall2006
dc.identifier local: HST.583
dc.identifier local: IMSCP-MD5-64ceb1708d1407ba955910c0855cf710
dc.identifier http://hdl.handle.net/1721.1/51692
dc.identifier.uri http://localhost:8080/xmlui/handle/CUHPOERS/2933
dc.description 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.
dc.format text/html
dc.language en-US
dc.rights Usage Restrictions: This site (c) Massachusetts Institute of Technology 2003. Content within individual courses is (c) by the individual authors unless otherwise noted. The Massachusetts Institute of Technology is providing this Work (as defined below) under the terms of this Creative Commons public license ("CCPL" or "license"). The Work is protected by copyright and/or other applicable law. Any use of the work other than as authorized under this license is prohibited. By exercising any of the rights to the Work provided here, You (as defined below) accept and agree to be bound by the terms of this license. The Licensor, the Massachusetts Institute of Technology, grants You the rights contained here in consideration of Your acceptance of such terms and conditions.
dc.subject medical imaging
dc.subject medical lab
dc.subject medical technology
dc.subject magnetic resonance imaging
dc.subject fMRI
dc.subject signal processing
dc.subject human brain mapping
dc.subject function
dc.subject image formation physics
dc.subject metabolism
dc.subject psychology
dc.subject image signals
dc.subject parenchymal
dc.subject cerebrovascular neuroanatomy
dc.subject functional data analysis
dc.subject experimental design
dc.subject statistical models
dc.subject human subjects
dc.subject informed consent
dc.subject institutional review board requirements
dc.subject safety
dc.subject medical
dc.subject brain scan
dc.title HST.583 Functional Magnetic Resonance Imaging: Data Acquisition and Analysis, Fall 2006
dc.title Functional Magnetic Resonance Imaging: Data Acquisition and Analysis
dc.coverage Fall 2006


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