Nicole C. Swann

This study compares EEG oscillations during guided mindfulness and mind-wandering in young adults, finding increased alpha power during mindfulness and effects of auditory instructions on theta amplitude.

The paper examines oscillatory activity in brain regions involved in motor control, finding distinct beta and theta patterns associated with proactive and reactive inhibition in Parkinson's patients.

This study investigates the neurophysiological correlates of awe using EEG, finding increased complexity in neural signals during awe experiences, though with limited generalization to other datasets.

The paper examines how beta oscillations in the sensorimotor cortex change with movement speed and uncertainty, finding reduced beta dynamics in slower movements and linking this to Parkinson's disease bradykinesia.

The paper uses machine learning to classify movement-related oscillations in sEEG recordings, identifying new patterns and brain regions involved in movement.

The paper introduces a novel Continuous Movement Stop Task (CMST) to study inhibitory control in motor behavior, showing it can distinguish between planned and reactive stopping.

The paper shows that beta waveform shape features distinguish Parkinson's Disease patients on and off medication using non-invasive scalp EEG.