"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. ..."
Model Type: Synapse
Cell Type(s): Subthalamus nucleus projection neuron
Currents: I K
Simulation Environment: NEURON (web link to model)
Implementer(s): Maling, Nicholas [nickmaling at gmail.com]
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. Journal of neurophysiology. 120 [PubMed]