A spatio-temporal support vector machine searchlight for fMRI analysis

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Interpreting support vector machine models for multivariate group wise analysis in neuroimaging (2015, positive): “The primary differences between our approach and approaches like voxel based morphometry (VBM)/SVM searchlights Xiao et al. (2008) Rao et al. (2011) Etzel et al. (2013)) are 1) that our approach focusses on interpreting an SVM model and 2) that our approach is based on a global perspective that…”
Searchlight analysis: Promise, pitfalls, and potential (2013, methodology): “Efforts have also been made to extend the technique to incorporate the temporal domain (Fogelson et al., 2011; Rao et al., 2011).”
Analytic estimation of statistical significance maps for support vector machine based multi-variate image analysis and classification (2013, unknown): “Further, some SVM applications involve running separate SVMs on local 3D windows in MR images in order to identify group differences (Rao et al., 2011; Xiao et al., 2008).”