Ryan C. Timms

This paper combines video telemetry with wearable MEG to analyze naturalistic movement and neural activity during dance.

The paper demonstrates non-invasive imaging of brain, spinal cord, and muscle interactions during movement using optically-pumped magnetometers.

This paper introduces a system for concurrent non-invasive imaging of brain and spinal cord electrophysiology using wearable optically pumped magnetometers.

The paper compares two models for simulating brain activity across modalities, showing they can replicate functional connectivity and dynamics but with varying performance across modalities.

The paper investigates high-frequency brain activity in the temporal lobes using MEG data, finding a bilateral network but uncertainty about its origin.

This paper introduces DyNeMo, a model for dynamic functional brain networks that outperforms HMM in capturing non-exclusive network modes in MEG data.

This paper evaluates noise rejection and spatial sampling in multi-axis OPMs using spherical harmonics and eigenspectra, finding triaxial configurations offer superior performance.