Study of New Connectivity Measure for fMRI Based Cortical Clustering
Pages 84 - 88
Abstract
Resting state Functional magnetic resonance imaging (rsfMRI) provides complementary information to the sulcal brain anatomy about the cytoarchitecture and function of the human brain. Hence due to this parcellation based on rsfMRI is popular for potential application. This paper presents a comparison of correlation based connectivity measures and addresses the question what connectivity measure should be used for fMRI based connectivity analysis. It is observed that the popularly used functional connectivity measure does not show an adequate performance and is also computationally expensive. A new measure of connectivity is suggested and evaluated in the present work based on geodesic distance. A quantitative performance provides evidence that the proposed geodesic distance measure performs best for the connectivity studies.
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Published In
May 2017
123 pages
ISBN:9781450348799
DOI:10.1145/3093293
Copyright © 2017 ACM.
© 2017 Association for Computing Machinery. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of a national government. As such, the Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.
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- Department of Computer Science, University of Szeged: Department of Computer Science, University of Szeged
- University of Lisbon: University of Lisbon
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Association for Computing Machinery
New York, NY, United States
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Published: 14 May 2017
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ICBBT '17
ICBBT '17: 9th International Conference on Bioinformatics and Biomedical Technology
May 14 - 16, 2017
Lisbon, Portugal
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