NDLI: Learning Predictive Cognitive Structure from fMRI Using Supervised Topic Models

Content Provider	IEEE Xplore Digital Library
Author	Koyejo, O. Patel, P. Ghosh, J. Poldrack, R.A.
Copyright Year	2013
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Univ. of Texas at Austin, Austin, TX, USA (Koyejo, O.; Patel, P.; Ghosh, J.) \|\| Depts. of Psychol. & Neurobiol., Univ. of Texas at Austin, Austin, TX, USA (Poldrack, R.A.)
Abstract	We present an experimental study of topic models applied to the analysis of functional magnetic resonance images. This study is motivated by the hypothesis that experimental task contrast images share a common set of mental concepts. We represent the images as documents and the mental concepts as topics, and evaluate the effectiveness of unsupervised topic models for the recovery of the task to mental concept mapping, We also evaluate supervised topic models that explicitly incorporate the experimental task labels. Comparing the quality of the recovered topic assignments to known mental concepts, we find that the supervised models are more effective than unsupervised approaches. The quantitative performance results are supported by a visualization of the recovered topic assignment probabilities. Our results motivate the use of supervised topic models for analyzing cognitive function with fMRI.
Starting Page	9
Ending Page	12
File Size	171998
Page Count	4
File Format	PDF
ISBN	9780769550619
DOI	10.1109/PRNI.2013.12
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-06-22
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Analytical models Computational modeling Mixed membership Ontologies Brain models Data models Topic model FMRI Mental concepts
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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