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The Challenge of Functional Magnetic Resonance Imaging |
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| Authors: | William F Eddy Mark Fitzgerald Christopher Genovese Nicole Lazar Audris Mockus Joel Welling |
| Institution: | 1. Department of Statistics , Carnegie Mellon University , Pittsburgh , PA , 15213 , USA;2. Los Alamos National Laboratory , TSA-1, MS F600, Los Alamos National Laboratory, Los Alamos , NM , 87545 , USA;3. Lucent Technologies, Software Production Research Department, Bell Laboratories , 263 Shuman Boulevard, Room 2F-319, Naperville , IL , 60566-7050 , USA;4. Department of Statistics and Pittsburgh Supercomputer Center , Carnegie Mellon University , Pittsburgh , PA , 15213 , USA |
| Abstract: | Abstract Functional magnetic resonance imaging of the human brain in action presents large statistical and computational challenges. Here we describe those challenges and provide references to a number of other papers where detailed methods developed to meet them are reported. The first seven sections of this paper were written in 1995 when our work was in its infancy. The last four sections were written more recently, to update the earlier sections and to show the directions we have gone and the directions we intend to go. |
| Keywords: | Experimental design Massive dataset Neuropsychology |