The challenge of functional magnetic resonance imaging

被引:13
作者
Eddy, WF [1 ]
Fitzgerald, M
Genovese, C
Lazar, N
Mockus, A
Welling, J
机构
[1] Carnegie Mellon Univ, Dept Stat, Pittsburgh, PA 15213 USA
[2] Univ Calif Los Alamos Natl Lab, Los Alamos, NM 87545 USA
[3] AT&T Bell Labs, Software Prod Res Dept, Lucent Technol, Tech Staff, Naperville, IL 60566 USA
[4] Carnegie Mellon Univ, Pittsburgh Supercomp Ctr, Pittsburgh, PA 15213 USA
关键词
experimental design; massive dataset; neuropsychology;
D O I
10.2307/1390875
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
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.
引用
收藏
页码:545 / 558
页数:14
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