Andrés M. Lozano

The paper identifies and differentiates filter-induced oscillations from physiological stimulation-evoked potentials in intracranial recordings to improve DBS targeting accuracy.

The paper investigates whether quasi-evoked inhibition in Vim neurons correlates with clinical tremor reduction and its dependence on stimulation location.

This study investigates how high-frequency DBS of the thalamic Vim suppresses neuronal firing by analyzing synaptic and network-level mechanisms in patients with essential tremor.

The paper evaluates diffusion MRI's role in improving brainstem ROI registration accuracy compared to T1w-only methods, showing better performance with diffusion-based pipelines.

The paper identifies a convergent brain circuit modulated by neuromodulation techniques that reduces autonomic arousal in various conditions.

This study uses deep brain ultrasound to modulate visual attention by stimulating subcortical structures, showing site-specific effects on reaction time and search efficiency.

The paper examines differences in GPi neuronal activity and synaptic plasticity in Parkinson's disease and dystonia, finding distinct patterns of oscillatory activity and plasticity associated with each disorder.

The paper investigates the network mechanisms underlying thalamic deep brain stimulation and identifies key features of spiking activity in response to high-frequency stimulation.

This study examines synaptic dynamics in the subthalamic nucleus (STN) and substantia nigra pars reticulata (SNr) during high frequency stimulation, finding sustained inhibitory effects in STN compared to SNr.

The paper develops a mathematical model to quantify neuronal firing rate dynamics in basal ganglia and thalamus during DBS across different frequencies, showing consistent parameter fitting with both synthetic and experimental data.

This study links single-neuron bursting to pathophysiological LFP oscillations in Parkinson's disease and essential tremor using intracranial recordings.

The paper develops a computational framework to predict site-specific and frequency-dependent effects of deep brain stimulation on neuronal activity using experimental and theoretical insights.

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