Ludvic U. Zrinzo

The paper uses intracranial recordings from patients with chronic cluster headache to show that the human VTA encodes reward-related signals during learning.

This study shows that aperiodic broadband power, not just beta oscillations, is linked to Parkinson's disease severity and is increased in the more affected hemisphere.

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 paper quantifies individual anatomical variability of the connectivity-defined ventralis intermedius nucleus (cd-Vim) using probabilistic tractography and finds it is more variable on the right and not influenced by methodological confounds.

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 examines the structural and functional connectivity of the nucleus basalis of Meynert in Parkinson's disease dementia and Lewy body dementia using MEG and MRI tractography.

The paper identifies a common neural tract associated with treatment response in OCD patients undergoing DBS targeting different brain regions.

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.