Patricia Dowsey Limousin

This paper predicts subthalamic nucleus beta bursts in Parkinson's disease using deep learning, identifying a predictive biomarker for burst onset.

The paper examines neural correlates of conflict and evidence integration during sequential decision making, finding increased cortico-subthalamic coherence and prolonged subthalamic beta oscillations during conflict.

This study shows that alternating subthalamic nucleus deep brain stimulation can entrain stepping rhythms in Parkinson's patients, suggesting the STN's role in step timing control.

The paper investigates how high-frequency activity in the basal ganglia co-varies with motor cortical beta oscillations during motor control and rest in Parkinson's patients.

The paper identifies signatures of the hyperdirect pathway and its role in pathological network disruption in Parkinson's disease through multimodal analysis.

This study uses whole-brain computational modeling to analyze how deep brain stimulation affects brain dynamics in Parkinson’s disease patients, finding it shifts brain states closer to healthy dynamics.