Marika Strindberg

This paper introduces a method to detect time-resolved brain networks from fMRI data using instantaneous phase, revealing how brain regions synchronize and reorganize during tasks.

This study identifies an fMRI equivalent of the readiness potential in motor task data, showing network synchronization before movement and its presence in single epochs.

This study tracks spatiotemporal changes in brain network integration and segregation during task and rest using fMRI data, revealing quasicyclic patterns linked to experimental timing.

This paper introduces a hierarchical model to analyze spatiotemporally flexible subnetworks in the human brain, revealing that integration and segregation are complementary and quasi-cyclic processes.