K. Amande M. Pauls

This paper introduces a Hidden Markov Model (HMM) framework to automatically segment beta activity from MEG data, showing good test-retest reliability and multisite transferability.

This study identifies two distinct beta bands in brain activity using MEG and a Hidden Markov Model, showing different roles in movement initiation, maintenance, and termination.

This study investigates the heritability of sensorimotor beta rhythm and aperiodic signal in human MEG data, finding high heritability for beta spectral power and aperiodic 1/f signal.

This study assesses the test-retest reliability of sensorimotor beta events and 1/f response using MEG in healthy controls, finding good stability for most features.