Representational dissimilarity component analysis (ReDisCA)

Alexei Ossadtchi, Ilia Semenkov, Anna Zhuravleva, Vladimir V. Kozunov, Oleg Serikov, Ekaterina Voloshina

Abstract: Highlights•Spatial–temporal decompositions are pivotal in interpretation of EEG or MEG data.•RSA links brain-imaging modalities and models using second order similarity metrics.•RSA requires source activation time series and uses exhaustive source space search.•ReDisCA decomposes EEG\MEG into representationally relevant space–time components.•ReDisCA boosts detectability and localization of representationally relevant sources.