Effliciency, power, and entropy in event-related fMRI with multiple trial types - Part II: Design of experiments
Effliciency, power, and entropy in event-related fMRI with multiple trial types - Part II: Design of experiments
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DOI：
10.1016/j.neuroimage.2003.09.031
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发表时间：
2004-01-01
期刊：
影响因子：
5.7
通讯作者：
Liu, TT
中科院分区：
文献类型：
--
作者：
Liu, TT
功能性磁共振成像（fMRI）实验设计的性能可以通过其估计效率（即估计血流动力学反应的能力）、其检测能力（即检测激活的能力）和其条件熵（即测量设计的随机性）来表征。在Liu和Frank [Neuroimage 21（2004）387-400]中，表明对于具有多种试验类型的实验，在估计效率和检测能力之间存在基本的理论权衡，并且在估计效率和条件熵之间存在经验关系。本文提供了一个直观的解释的理论结果，并检查这些结果的实际意义的最佳设计的功能磁共振成像实验与多种试验类型。探讨了区组设计、置换区组设计、m序列设计、聚类m序列设计和混合设计的性质。结果表明，这些设计几乎实现了理论预测的性能，并可以在实践中使用，以获得有利的效率，功率和熵之间的权衡。(C)2003年爱思唯尔公司All rights reserved.
The performance of an experimental design for functional magnetic resonance imaging (fMRI) can be characterized by its estimation efficiency, which is the ability to make an estimate of the hemodynamic response, its detection power, which is the ability to detect an activation, and its conditional entropy, which is a measure of the randomness of the design. In Liu and Frank [Neuroimage 21 (2004) 387-400], it is shown that there is a fundamental theoretical trade-off between estimation efficiency and detection power for experiments with multiple trial types and that there is an empirical relation between estimation efficiency and conditional entropy. This paper provides an intuitive interpretation of the theoretical results and examines the practical implications of these results for the optimal design of fMRI experiments with multiple trial types. The properties of block designs, permuted block designs, m-sequence designs, clustered m-sequence designs, and mixed designs are explored. It is shown that these designs nearly achieve the theoretically predicted performance and can be used in practice to obtain advantageous trade-offs among efficiency, power, and entropy. (C) 2003 Elsevier Inc. All rights reserved.