A new meta-analytic method for neuroimaging studies that combines reported peak coordinates and statistical parametric maps
By Joaquim Radua, David Mataix-Cols, M. Phillips, W. El-Hage, Dina M. Kronhaus, N. Cardoner, S. Surguladze. European psychiatry, 2012
749 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging
View Paper: https://www.semanticscholar.org/paper/bed0b848f2af86672e565ecb1c4e5440539dc16a
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
- Simon B. Eickhoff
- Angela R. Laird
- Peter T. Fox
- Tal Yarkoni
- Tor D. Wager
- Thomas E. Nichols
- Joaquim Radua
- David Mataix-Cols
In Radiology, Nuclear Medicine and Imaging
- Simon B. Eickhoff
- Angela R. Laird
- Peter T. Fox
- Tal Yarkoni
- Tor D. Wager
- Thomas E. Nichols
- Paolo Fusar-Poli
- David Mataix-Cols
Citations in the corpus
- Ten simple rules for neuroimaging meta-analysis (2017, methodology): “A revised version of SDM, termed effect-size SDM (ES-SDM), also allows for the combination of coordinate-based results and statistical images (Radua et al., 2012).”
- Anisotropic Kernels for Coordinate-Based Meta-Analyses of Neuroimaging Studies (2014, methodology): “, the MSE obtained under the current degree of anisotropy and FWHM, divided by the MSE obtained under default ES-SDM isotropic FWHM (20 mm) (6).”
- Meta-analysis of functional magnetic resonance imaging studies of inhibition and attention in attention-deficit/hyperactivity disorder: exploring task-specific, stimulant medication, and age effects. (2013, methodology): “Third, while voxelwise meta-analytical methods provide excellent control for false-positive results, it is more difficult to avoid false-negative results.(58) Fourth, regression in voxel-based meta-analyses should be considered with caution; however, spurious results were minimized herein by using m”