[HTML][HTML] Cross-validation and permutations in MVPA: Validity of permutation strategies and power of cross-validation schemes
Abstract Multi-Voxel Pattern Analysis (MVPA) is a well established tool to disclose weak,
distributed effects in brain activity patterns. The generalization ability is assessed by testing …
distributed effects in brain activity patterns. The generalization ability is assessed by testing …
Statistical inference and multiple testing correction in classification-based multi-voxel pattern analysis (MVPA): random permutations and cluster size control
An ever-increasing number of functional magnetic resonance imaging (fMRI) studies are
now using information-based multi-voxel pattern analysis (MVPA) techniques to decode …
now using information-based multi-voxel pattern analysis (MVPA) techniques to decode …
[HTML][HTML] Inter-subject pattern analysis: A straightforward and powerful scheme for group-level MVPA
Multivariate pattern analysis (MVPA) has become vastly popular for analyzing functional
neuroimaging data. At the group level, two main strategies are used in the literature. The …
neuroimaging data. At the group level, two main strategies are used in the literature. The …
Searchlight-based multi-voxel pattern analysis of fMRI by cross-validated MANOVA
C Allefeld, JD Haynes - Neuroimage, 2014 - Elsevier
Multi-voxel pattern analysis (MVPA) is a fruitful and increasingly popular complement to
traditional univariate methods of analyzing neuroimaging data. We propose to replace the …
traditional univariate methods of analyzing neuroimaging data. We propose to replace the …
Coping with confounds in multivoxel pattern analysis: What should we do about reaction time differences? A comment on Todd, Nystrom & Cohen 2013
Multivoxel pattern analysis (MVPA) is a sensitive and increasingly popular method for
examining differences between neural activation patterns that cannot be detected using …
examining differences between neural activation patterns that cannot be detected using …
What do differences between multi-voxel and univariate analysis mean? How subject-, voxel-, and trial-level variance impact fMRI analysis
Multi-voxel pattern analysis (MVPA) has led to major changes in how fMRI data are
analyzed and interpreted. Many studies now report both MVPA results and results from …
analyzed and interpreted. Many studies now report both MVPA results and results from …
[PDF][PDF] A critique of multi-voxel pattern analysis
M Anderson, T Oates - Proceedings of the Annual Meeting of the …, 2010 - escholarship.org
Multi-voxel pattern analysis (MVPA) is a popular analytical technique in neuroscience that
involves identifying patterns in fMRI BOLD signal data that are predictive of task conditions …
involves identifying patterns in fMRI BOLD signal data that are predictive of task conditions …
Deconvolving BOLD activation in event-related designs for multivoxel pattern classification analyses
Use of multivoxel pattern analysis (MVPA) to predict the cognitive state of a subject during
task performance has become a popular focus of fMRI studies. The input to these analyses …
task performance has become a popular focus of fMRI studies. The input to these analyses …
[HTML][HTML] The effect of spatial smoothing on representational similarity in a simple motor paradigm
Multi-voxel pattern analyses (MVPA) are often performed on unsmoothed data, which is very
different from the general practice of large smoothing extents in standard voxel-based …
different from the general practice of large smoothing extents in standard voxel-based …
Influence of activation pattern estimates and statistical significance tests in fMRI decoding analysis
Abstract The use of Multi-Voxel Pattern Analysis (MVPA) has increased considerably in
recent functional magnetic resonance imaging (fMRI) studies. A crucial step consists in the …
recent functional magnetic resonance imaging (fMRI) studies. A crucial step consists in the …