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HST.583 Functional Magnetic Resonance Imaging: Data Acquisition and Analysis, Fall 2004

Author(s)
Gollub, Randy L.; Savoy, Robert; Wald, Lawrence; Banzett, Robert B.; Dickerson, Bradford C; Melcher, Jennifer R.; Kennedy, David N. (David Nelson), 1962-; Tuch, David Solomon, 1973-; Jovicich, Jorge; Greve, Doug; Mandeville, Joe; Vangel, Mark Geoffrey; Hoge, Rick; Blood, Anne; Hadjikhani, Nouchine; Moore, Christopher; Salat, David; Sigalovsky, Irina S., 1972-; Stufflebeam, Steven M; Zalesky, Martin; ... Show more Show less
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Alternative title
Functional Magnetic Resonance Imaging: Data Acquisition and Analysis
Terms of use
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.
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Abstract
Provides information relevant to the conduct and interpretation of human brain mapping studies. 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, and building and applying statistical models for fMRI data. Human subject issues including informed consent, institutional review board requirements and safety in the high field environment are also presented. Probability, linear algebra, differential equations, and introductory or college-level subjects in neurobiology, physiology, and physics is required.
Date issued
2004-12
URI
http://hdl.handle.net/1721.1/45560
Other identifiers
HST.583-Fall2004
local: HST.583
local: IMSCP-MD5-b351e113f3dbb3bdad65614b4e941e4c
Keywords
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, Magnetic resonance imaging

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