ArticlePloS one2013
Theoretical analysis of the local field potential in deep brain stimulation applications.
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.
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Who cites it
45 citing papers in PubMed.
- Field potential 1/Journal of neurophysiology · 2019Trial
- Trial
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- The optimization of neuroprosthetic interfaces relying on biophysical and surrogate digital twins.npj biomedical innovations · 2026Review
- Predicting neural responses to intra- and extra-cranial electric brain stimulation by means of the reciprocity theorem.PLoS computational biology · 2025Article
- BlueRecording: A pipeline for the efficient calculation of extracellular recordings in large-scale neural circuit models.PLoS computational biology · 2025Article
- Aperiodic components of local field potentials reflect inherent differences between cortical and subcortical activity.Cerebral cortex (New York, N.Y. : 1991) · 2024Article
- Neural oscillatory characteristics of feedback-associated activity in globus pallidus interna.Scientific reports · 2023Article
- Role of the volume conductor on simulations of local field potential recordings from deep brain stimulation electrodes.PloS one · 2023Article
- Improved circuitry and post-processing for interleaved fast-scan cyclic voltammetry and electrophysiology measurements.Frontiers in signal processing · 2023Article
- Electrochemical and biological performance of hierarchical platinum-iridium electrodes structured by a femtosecond laser.Microsystems & nanoengineering · 2022Article
- Spatial and Temporal Distribution of Information Processing in the Human Dorsal Anterior Cingulate Cortex.Frontiers in human neuroscience · 2022Article
- Optimal closed-loop deep brain stimulation using multiple independently controlled contacts.PLoS computational biology · 2021Article
- Biophysical characterization of local field potential recordings from directional deep brain stimulation electrodes.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2021Article
- Gray Matter Sampling Differences Between Subdural Electrodes and Stereoelectroencephalography Electrodes.Frontiers in neurology · 2021Article
- Evoked Potentials Recorded From the Spinal Cord During Neurostimulation for Pain: A Computational Modeling Study.Neuromodulation : journal of the International Neuromodulation Society · 2020Article
- Error-Related Activity in Striatal Local Field Potentials and Medial Frontal Cortex: Evidence From Patients With Severe Opioid Abuse Disorder.Frontiers in human neuroscience · 2020Article
- Simulation of Closed-Loop Deep Brain Stimulation Control Schemes for Suppression of Pathological Beta Oscillations in Parkinson's Disease.Frontiers in neuroscience · 2020Article
- Network-Targeted, Multi-site Direct Cortical Stimulation Enhances Working Memory by Modulating Phase Lag of Low-Frequency Oscillations.Cell reports · 2019Article
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2 authors.
Funding
Abstract
Deep brain stimulation (DBS) is a common therapy for treating movement disorders, such as Parkinson's disease (PD), and provides a unique opportunity to study the neural activity of various subcortical structures in human patients. Local field potential (LFP) recordings are often performed with either intraoperative microelectrodes or DBS leads and reflect oscillatory activity within nuclei of the basal ganglia. These LFP recordings have numerous clinical implications and might someday be used to optimize DBS outcomes in closed-loop systems. However, the origin of the recorded LFP is poorly understood. Therefore, the goal of this study was to theoretically analyze LFP recordings within the context of clinical DBS applications. This goal was achieved with a detailed recording model of beta oscillations (∼20 Hz) in the subthalamic nucleus. The recording model consisted of finite element models of intraoperative microelectrodes and DBS macroelectrodes implanted in the brain along with multi-compartment cable models of STN projection neurons. Model analysis permitted systematic investigation into a number of variables that can affect the composition of the recorded LFP (e.g. electrode size, electrode impedance, recording configuration, and filtering effects of the brain, electrode-electrolyte interface, and recording electronics). The results of the study suggest that the spatial reach of the LFP can extend several millimeters. Model analysis also showed that variables such as electrode geometry and recording configuration can have a significant effect on LFP amplitude and spatial reach, while the effects of other variables, such as electrode impedance, are often negligible. The results of this study provide insight into the origin of the LFP and identify variables that need to be considered when analyzing LFP recordings in clinical DBS applications.
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