An evaluation of methods for detecting brain activations from functional neuroimages
- 作者：Lukic ; Ana S. ; Wernick ; Miles N. ; Strother ; Stephen C.
- 关键词：PET ; fMRI ; Signal detection ; ROC ; Multivariate statistics
- 刊名：Artificial Intelligence in Medicine
- 出版年：2002
- 期刊代码：26_09333657
- 类别：med
- 出版时间：May, 2002
- 卷：25
- 期：1
- 页码：69-88
- 文件大小：506 K
摘要
Brain activation studies based on PET or fMRI seek to explore neuroscience questions by statistically analyzing the acquired images to produce statistical parametric images (SPIs). An increasingly wide range of univariate and multivariate analysis techniques are used to generate SPIs in order to detect mean-signal activations and/or long-range spatial interactions. However, little is known about the comparative detection performance of even simple techniques in finite data sets. Our aims are (1) to empirically compare the detection performance of a range of techniques using simulations of a simple image phantom and receiver operating characteristics (ROC) analysis, and (2) to construct two near-optimal detectors, both generalized likelihood ratio tests as upper performance bounds.