ALE meta‐analysis: Controlling the false discovery rate and performing statistical contrasts
The University of Texas at San Antonio Health Science Center · Imaging Center · +2 more institutions
Abstract
Activation likelihood estimation (ALE) has greatly advanced voxel-based meta-analysis research in the field of functional neuroimaging. We present two improvements to the ALE method. First, we evaluate the feasibility of two techniques for correcting for multiple comparisons: the single threshold test and a procedure that controls the false discovery rate (FDR). To test these techniques, foci from four different topics within the literature were analyzed: overt speech in stuttering subjects, the color-word Stroop task, picture-naming tasks, and painful stimulation. In addition, the performance of each thresholding method was tested on randomly generated foci. We found that the FDR method more effectively…
Citation impact
- FWCI
- 19.04
- Percentile
- 100%
- References
- 23
Authors
9- ARAngela R. LairdCorresponding
The University of Texas at San Antonio Health Science Center, Imaging Center
- PMP. Mickle Fox
The University of Texas at San Antonio Health Science Center, Imaging Center
- CJCathy J. Price
- DCDavid C. Glahn
The University of Texas at San Antonio Health Science Center, Imaging Center
- AMAngela M. Uecker
The University of Texas at San Antonio Health Science Center, Imaging Center
Topics & keywords
- False discovery rate
- Thresholding
- False positive paradox
- Multiple comparisons problem
- Stroop effect
- Meta-analysis
- Voxel
- Computer science
- Peace, Justice and strong institutions