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Computational and Mathematical Methods in Medicine
Volume 2012 (2012), Article ID 967380, 14 pages
http://dx.doi.org/10.1155/2012/967380
Research Article

A Computationally Efficient, Exploratory Approach to Brain Connectivity Incorporating False Discovery Rate Control, A Priori Knowledge, and Group Inference

1Department of Electrical and Computer Engineering, University of British Columbia, Vancouver, BC, Canada V6T 1Z4
2Laboratory of Neuro Imaging, Department of Neurology, UCLA School of Medicine, Los Angeles, CA 90095, USA
3Division of Neurology, Department of Medicine and Pacific Parkinson's Research Centre, University of British Columbia, Vancouver, BC, Canada V5Z 1M9

Received 18 March 2012; Revised 6 July 2012; Accepted 10 July 2012

Academic Editor: Tianzi Jiang

Copyright © 2012 Aiping Liu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Aiping Liu, Junning Li, Z. Jane Wang, and Martin J. McKeown, “A Computationally Efficient, Exploratory Approach to Brain Connectivity Incorporating False Discovery Rate Control, A Priori Knowledge, and Group Inference,” Computational and Mathematical Methods in Medicine, vol. 2012, Article ID 967380, 14 pages, 2012. doi:10.1155/2012/967380