Biophysical basis of Subthalamic LFPs Recorded from DBS electrodes (Maling et al 2018)

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"Clinical deep brain stimulation (DBS) technology is evolving to enable chronic recording of local field potentials (LFPs) that represent electrophysiological biomarkers of the underlying disease state. However, little is known about the biophysical basis of LFPs, or how the patient’s unique brain anatomy and electrode placement impact the recordings. Therefore, we developed a patient-specific computational framework to analyze LFP recordings within a clinical DBS context. We selected a subject with Parkinson’s disease implanted with a Medtronic Activa PC+S DBS system and reconstructed their subthalamic nucleus (STN) and DBS electrode location using medical imaging data. The patient-specific STN volume was populated with 235,280 multicompartment STN neuron models, providing a neuron density consistent with histological measurements. Each neuron received time-varying synaptic inputs and generated transmembrane currents that gave rise to the LFP signal recorded at DBS electrode contacts residing in a finite element volume conductor model. We then used the model to study the role of synchronous beta-band inputs to the STN neurons on the recorded power spectrum. ..."
1 . Maling N, Lempka SF, Blumenfeld Z, Bronte-Stewart H, McIntyre CC (2018) Biophysical basis of subthalamic local field potentials recorded from deep brain stimulation electrodes. J Neurophysiol 120:1932-1944 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Synapse;
Brain Region(s)/Organism: Basal ganglia; Subthalamic Nucleus;
Cell Type(s): Subthalamus nucleus projection neuron;
Channel(s): I K;
Gap Junctions:
Simulation Environment: NEURON (web link to model);
Model Concept(s): Deep brain stimulation; Parkinson's;
Implementer(s): Maling, Nicholas [nickmaling at];
Search NeuronDB for information about:  I K;
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