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dc.contributor.authorGollub, Randy L.en_US
dc.contributor.authorBird, Stephanie J.en_US
dc.contributor.authorBrown, E. N. (Emery N.)en_US
dc.contributor.authorFischl, Bruceen_US
dc.contributor.authorKanwisher, Nancyen_US
dc.contributor.authorKennedy, David N. (David Nelson), 1962-en_US
dc.contributor.authorManoach, Daraen_US
dc.contributor.authorMelcher, Jennifer R.en_US
dc.contributor.authorMoore, Christopheren_US
dc.contributor.authorWald, Lawrenceen_US
dc.contributor.authorDale, Andersen_US
dc.contributor.authorSchmitt, F. (Franz), 1953-en_US
dc.contributor.authorGreve, Dougen_US
dc.contributor.authorHoge, Ricken_US
dc.contributor.authorJovicich, Jorgeen_US
dc.contributor.authorMandeville, Joeen_US
dc.contributor.authorRosen, Bruce Roberten_US
dc.contributor.authorSavage, Caryen_US
dc.contributor.authorSavoy, Roberten_US
dc.contributor.authorSorensen, A. Gregoryen_US
dc.contributor.authorTuch, David Solomon, 1973-en_US
dc.contributor.authorVanduffel, Wimen_US
dc.contributor.authorVangel, Mark Geoffreyen_US
dc.contributor.authorBush, Georgeen_US
dc.coverage.temporalFall 2002en_US
dc.date.issued2002-12
dc.identifierHST.583-Fall2002
dc.identifierlocal: HST.583
dc.identifierlocal: IMSCP-MD5-a6fcdfa60fb367b02ce0cec89ac4281f
dc.identifier.urihttp://hdl.handle.net/1721.1/36388
dc.description.abstractProvides 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.en_US
dc.languageen-USen_US
dc.rights.uriUsage 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.en_US
dc.subjectlaben_US
dc.subjectmagnetic resonance imagingen_US
dc.subjecthuman brain mappingen_US
dc.subjectfunctionen_US
dc.subjectimage formation physicsen_US
dc.subjectpsychologyen_US
dc.subjectimage signalsen_US
dc.subjectparenchymalen_US
dc.subjectcerebrovascular neuroanatomyen_US
dc.subjectfunctional data analysisen_US
dc.subjectexperimental designen_US
dc.subjectstatistical modelsen_US
dc.subjectMagnetic resonance imagingen_US
dc.titleHST.583 Functional Magnetic Resonance Imaging: Data Acquisition and Analysis, Fall 2002en_US
dc.title.alternativeFunctional Magnetic Resonance Imaging: Data Acquisition and Analysisen_US


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