Luka Milosevic

Differentiating filter-induced oscillations from physiological stimulation-evoked potentials in intracranial recordings

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

Inhibitory Evoked Potentials as a Spatially Dependent Intraoperative Marker of Clinical Tremor Reduction

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

A Unified Computational Framework for Deep Brain Stimulation at the Cellular and Network Levels

This paper introduces a computational model to understand how deep brain stimulation affects neuronal circuits by considering synaptic properties, connectivity architecture, and circuit motifs.

Frequency-dependent Inhibition during Deep Brain Stimulation of Thalamic Ventral Intermediate Nuclei

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.

FiNNpy 2.0: Fast MEG source reconstruction

FiNNpy 2.0 adds MEG source reconstruction with optimized speed and improved usability features.

Interrogating basal ganglia circuit function in Parkinson's disease and dystonia

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.

Uncovering network mechanism underlying thalamic deep brain stimulation

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

Direct Modulation Index: a measure of phase amplitude coupling for neurophysiology data

This paper introduces a new measure, direct modulation index (dMI), for phase-amplitude coupling in neurophysiology data, showing improved accuracy and robustness compared to existing methods.

Persistent synaptic inhibition of the subthalamic nucleus by 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.

Modelling Instantaneous Firing Rate of DBS Target Neuronal Ensembles in Basal Ganglia and Thalamus

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.

Single-neuron bursts encode pathological oscillations in Parkinson's disease and essential tremor

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

Directional Absolute Coherence: a phase-based measure of effective connectivity for neurophysiology data

This paper introduces a new effective connectivity measure called directional absolute coherence (DAC) and demonstrates its reliability in estimating neural communication direction and magnitude.

FiNN: A toolbox for neurophysiological network analysis

FiNN is a Python toolbox for neurophysiological network analysis that offers efficient data processing and visualization tools, outperforming existing frameworks in speed and memory usage.

Inferring Deep Brain Stimulation Induced Short-term Synaptic Plasticity Using Novel Dual Optimization Algorithm

The paper develops a dual optimization algorithm to infer short-term synaptic plasticity dynamics in response to deep brain stimulation using a model-based approach and empirical data.

A theoretical framework for the site-specific and frequency-dependent neuronal effects of deep brain stimulation

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.