Computational model
Biophysical basis of Subthalamic LFPs Recorded from DBS electrodes (Maling et al 2018)
Pipeline user 82
MalingEtAl2018 [7145324]
"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. ..."
  • Subthalamus nucleus projection neuron Show Other
  • Maling N, Lempka SF, Blumenfeld Z, Bronte-Stewart H, McIntyre CC (2018) Show Other
  • Maling, Nicholas [nickmaling at] Show Other
Other categories referring to Biophysical basis of Subthalamic LFPs Recorded from DBS electrodes (Maling et al 2018)
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Last Time: 3/4/2020 12:19:42 PM
Reviewer: Tom Morse - MoldelDB admin
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