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Inter-subject pattern analysis: a straightforward and powerful scheme for group-level MVPA
[article]
2019
bioRxiv
pre-print
AbstractMultivariate 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 standard one is hierarchical, combining the outcomes of within-subject decoding results in a second-level analysis. The alternative one, inter-subject pattern analysis, directly works at the group-level by using, e.g, a leave-one-subject-out cross-validation. This study provides a thorough comparison of these
doi:10.1101/587899
fatcat:64aoikfhjvgote42ht2k3od3ea