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World J Radiol. Jul 28, 2014; 6(7): 437-445
Published online Jul 28, 2014. doi: 10.4329/wjr.v6.i7.437
Published online Jul 28, 2014. doi: 10.4329/wjr.v6.i7.437
Recent developments in optimal experimental designs for functional magnetic resonance imaging
Ming-Hung Kao, M’hamed Temkit, School of Mathematical and Statistical Sciences, Arizona State University, Tempe, AZ 85287, United States
Weng Kee Wong, Department of Biostatistics, University of California at Los Angeles, Los Angeles, CA 90095, United States
Author contributions: Kao MH wrote the paper; Temkit M and Wong WK revised it critically for important intellectual content.
Correspondence to: Ming-Hung Kao, Assistant Professor of Statistics, School of Mathematical and Statistical Sciences, Arizona State University, PO Box 871804, Tempe, AZ 85287, United States. mkao3@asu.edu
Telephone: +1-480-9653951 Fax: +1-480-9658119
Received: December 31, 2013
Revised: April 30, 2014
Accepted: May 28, 2014
Published online: July 28, 2014
Processing time: 212 Days and 4.7 Hours
Revised: April 30, 2014
Accepted: May 28, 2014
Published online: July 28, 2014
Processing time: 212 Days and 4.7 Hours
Core Tip
Core tip: This paper provides an overview on recent developments in the design of functional magnetic resonance imaging experiments (fMRI). We discuss both analytical results and computational approaches that are currently available for selecting high-quality fMRI designs.