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Julie Greenberg and Randy Gollub. Lai, Ian, 1980- Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science 2006-03-24T16:13:30Z 2006-03-24T16:13:30Z 2003 2003 http://hdl.handle.net/1721.1/29669 53833496 Thesis (M.Eng. and S.B.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2003. Includes bibliographical references (p. 59-63). A dearth of educational material exists for functional magnetic resonance imaging (fMRI), a relatively new tool used in neuroscience research. A computer demonstration for understanding statistical analysis in fMRI was developed in Matlab, along with an accompanying tutorial for its users. The demo makes use of Dview, an existing software package for viewing 3D brain data, and utilizes precomputed data to improve interactivity. The demo and client were used in an HST graduate course in methods for acquisition and analysis of fMRI data. For wider accessibility, a Web-based version of the demo was designed with a client/server architecture. The Java client has a layered design for flexibility, and the Matlab server interfaces with Dview to take advantage of its functionality. The client and server communicate via a simple protocol through the Matlab Web Server. The Web-based version of the demo was implemented successfully. Future work includes implementation of additional demo features and expansion of the tutorial before dissemination to a wider group of medical and neuroscience researchers. by Ian Lai. M.Eng. S.B. 63 3503775 bytes 3503584 bytes application/pdf application/pdf eng Massachusetts Institute of Technology M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 Electrical Engineering and Computer Science. A Web-based tutorial for statistical analysis of fMRI data Web-based tutorial for statistical analysis of functional magnetic resonance imaging data Thesis application/pdf false Publication unknown unknown <Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="831602ee-f5f1-41c0-9e72-15642ed45ee8"> <Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type> <Language>eng</Language> <Title>A Web-based tutorial for statistical analysis of fMRI data</Title> <Subtitle>Web-based tutorial for statistical analysis of functional magnetic resonance imaging data</Subtitle> <PublishedIn> <Publication> </Publication> </PublishedIn> <PublicationDate>2003</PublicationDate> <Authors> <Author> <DisplayName>Lai, Ian, 1980-</DisplayName> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> </Authors> <Editors> </Editors> <Publishers> <Publisher> <DisplayName>Massachusetts Institute of Technology</DisplayName> <OrgUnit /> </Publisher> </Publishers> <License>http://dspace.mit.edu/handle/1721.1/7582</License> <Keyword>Electrical Engineering and Computer Science.</Keyword> <Abstract>A dearth of educational material exists for functional magnetic resonance imaging (fMRI), a relatively new tool used in neuroscience research. A computer demonstration for understanding statistical analysis in fMRI was developed in Matlab, along with an accompanying tutorial for its users. The demo makes use of Dview, an existing software package for viewing 3D brain data, and utilizes precomputed data to improve interactivity. The demo and client were used in an HST graduate course in methods for acquisition and analysis of fMRI data. For wider accessibility, a Web-based version of the demo was designed with a client/server architecture. The Java client has a layered design for flexibility, and the Matlab server interfaces with Dview to take advantage of its functionality. The client and server communicate via a simple protocol through the Matlab Web Server. The Web-based version of the demo was implemented successfully. Future work includes implementation of additional demo features and expansion of the tutorial before dissemination to a wider group of medical and neuroscience researchers.</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication>