Runhao Lu

The paper examines lifespan changes in neural temporal dynamics using resting-state MEG data, finding distinct trajectories for cortical intrinsic timescales and alpha oscillations.

The paper links habitual sleep duration to brain network controllability, finding longer workday sleep is associated with higher somatomotor controllability and lower visual cortex controllability.

This study shows that the cortical hierarchy dynamically organizes large-scale neural propagation, with a periodic timescale and adaptation to behavior and aging.

The paper investigates how aperiodic neural activity relates to cognitive demand across the cortical hierarchy using combined fMRI and MEG data.

This paper investigates thalamocortical dynamics during theory of mind tasks using fMRI and sEEG, finding that the thalamus coordinates default network activity through phase-amplitude coupling without local activation.

HeteroRC improves neural decoding by capturing nonlinear and non-phase-locked dynamics, outperforming linear methods and revealing latent neural representations in EEG data.

This study shows how feedback reshapes neural representations in vlPFC through oscillatory dynamics, making them closer to future retrieval states.

This study uses TMS-EEG to show that parietal alpha stimulation enhances decoding of spatial attention signals but not feature information.

This study investigates the roles of oscillatory and aperiodic alpha activity in visuospatial attention using EEG and TMS-EEG, finding they contribute complementarily to attentional processing.

This study investigates the electrophysiological mechanisms of domain-general cognition using MEG/EEG, finding that both aperiodic and oscillatory components encode task demand across cognitive tasks.