A generative model for activations in functional MRI
Name
727065384-MIT.pdf
Description
Full printable version
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10.46 MB
Format
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Author(s)
Sridharan, Ramesh
Advisor(s)
Polina Golland.
Alternative Title
Generative model for activations in functional magnetic resonance imaging
Date Issued
2011
Publisher
Massachusetts Institute of Technology
Abstract
Detection of brain activity and selectivity using functional magnetic resonance imaging (fMRI) provides unique insight into the underlying functional properties of the brain. We propose a generative model that jointly explains neural activation and temporal activity in an fMRI experiment. We derive an algorithm for inferring activation patterns and estimating the temporal response from fMRI data, and present results on synthetic and actual fMRI data, showing that the model performs well in both settings, and provides insight into patterns of selectivity.
Description
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2011.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 87-91).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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