Temporal and Cross-Subject Probabilistic Models for fMRI Prediction Tasks

Alexis Battle; Gal Chechik; Daphne Koller

Temporal and Cross-Subject Probabilistic Models for fMRI Prediction Tasks

Alexis Battle, Gal Chechik, Daphne Koller

Stanford University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

We present a probabilistic model applied to the fMRI video rating prediction task of the Pittsburgh Brain Activity Interpretation Competition (PBAIC) [2]. Our goal is to predict a time series of subjective, semantic ratings of a movie given functional MRI data acquired during viewing by three subjects. Our method uses conditionally trained Gaussian Markov random fields, which model both the relationships between the subjects' fMRI voxel measurements and the ratings, as well as the dependencies of the ratings across time steps and between subjects. We also employed non-traditional methods for feature selection and regularization that exploit the spatial structure of voxel activity in the brain. The model displayed good performance in predicting the scored ratings for the three subjects in test data sets, and a variant of this model was the third place entrant to the 2006 PBAIC.

Original language	English
Title of host publication	NIPS 2006
Subtitle of host publication	Proceedings of the 19th International Conference on Neural Information Processing Systems
Editors	Bernhard Scholkopf, John C. Platt, Thomas Hofmann
Publisher	MIT Press Journals
Pages	121-128
Number of pages	8
ISBN (Electronic)	0262195682, 9780262195683
State	Published - 2006
Externally published	Yes
Event	19th International Conference on Neural Information Processing Systems, NIPS 2006 - Vancouver, Canada Duration: 4 Dec 2006 → 7 Dec 2006

Publication series

Name	NIPS 2006: Proceedings of the 19th International Conference on Neural Information Processing Systems

Conference

Conference	19th International Conference on Neural Information Processing Systems, NIPS 2006
Country/Territory	Canada
City	Vancouver
Period	4/12/06 → 7/12/06

Bibliographical note

Publisher Copyright:
© NIPS 2006.All rights reserved

Cite this

Battle, A., Chechik, G., & Koller, D. (2006). Temporal and Cross-Subject Probabilistic Models for fMRI Prediction Tasks. In B. Scholkopf, J. C. Platt, & T. Hofmann (Eds.), NIPS 2006: Proceedings of the 19th International Conference on Neural Information Processing Systems (pp. 121-128). (NIPS 2006: Proceedings of the 19th International Conference on Neural Information Processing Systems). MIT Press Journals.

Battle, Alexis ; Chechik, Gal ; Koller, Daphne. / Temporal and Cross-Subject Probabilistic Models for fMRI Prediction Tasks. NIPS 2006: Proceedings of the 19th International Conference on Neural Information Processing Systems. editor / Bernhard Scholkopf ; John C. Platt ; Thomas Hofmann. MIT Press Journals, 2006. pp. 121-128 (NIPS 2006: Proceedings of the 19th International Conference on Neural Information Processing Systems).

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abstract = "We present a probabilistic model applied to the fMRI video rating prediction task of the Pittsburgh Brain Activity Interpretation Competition (PBAIC) [2]. Our goal is to predict a time series of subjective, semantic ratings of a movie given functional MRI data acquired during viewing by three subjects. Our method uses conditionally trained Gaussian Markov random fields, which model both the relationships between the subjects' fMRI voxel measurements and the ratings, as well as the dependencies of the ratings across time steps and between subjects. We also employed non-traditional methods for feature selection and regularization that exploit the spatial structure of voxel activity in the brain. The model displayed good performance in predicting the scored ratings for the three subjects in test data sets, and a variant of this model was the third place entrant to the 2006 PBAIC.",

author = "Alexis Battle and Gal Chechik and Daphne Koller",

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Battle, A, Chechik, G & Koller, D 2006, Temporal and Cross-Subject Probabilistic Models for fMRI Prediction Tasks. in B Scholkopf, JC Platt & T Hofmann (eds), NIPS 2006: Proceedings of the 19th International Conference on Neural Information Processing Systems. NIPS 2006: Proceedings of the 19th International Conference on Neural Information Processing Systems, MIT Press Journals, pp. 121-128, 19th International Conference on Neural Information Processing Systems, NIPS 2006, Vancouver, Canada, 4/12/06.

Temporal and Cross-Subject Probabilistic Models for fMRI Prediction Tasks. / Battle, Alexis; Chechik, Gal; Koller, Daphne.
NIPS 2006: Proceedings of the 19th International Conference on Neural Information Processing Systems. ed. / Bernhard Scholkopf; John C. Platt; Thomas Hofmann. MIT Press Journals, 2006. p. 121-128 (NIPS 2006: Proceedings of the 19th International Conference on Neural Information Processing Systems).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Battle A, Chechik G, Koller D. Temporal and Cross-Subject Probabilistic Models for fMRI Prediction Tasks. In Scholkopf B, Platt JC, Hofmann T, editors, NIPS 2006: Proceedings of the 19th International Conference on Neural Information Processing Systems. MIT Press Journals. 2006. p. 121-128. (NIPS 2006: Proceedings of the 19th International Conference on Neural Information Processing Systems).

Temporal and Cross-Subject Probabilistic Models for fMRI Prediction Tasks

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