Group Surrogate Data Generating Models and similarity quantification of multivariate time-series: A resting-state fMRI study

Takuto Okuno, Junichi Hata, Yawara Haga, Kanako Muta, Hiromichi Tsukada, Ken Nakae, Hideyuki Okano, Alexander Woodward

Abstract: Highlights•We developed a Group Surrogate Data Generating Model (GSDGM) to generate the group centroid of multivariate time-series.•We developed a similarity quantification method called Multivariate Time-series Ensemble Similarity Score (MTESS).•GSDGM and MTESS can be used for fingerprint analysis in human rs-fMRI data and distinguishes outlier sessions.•We provide a GSDGM and MTESS Toolbox that can be freely downloaded from https://github.com/takuto-okuno-riken/mtess.