This title appears in the Scientific Report :
2017
Source localization based on multi-electrode local field potentials
Source localization based on multi-electrode local field potentials
Source localization based on multi-electrode local field potentialsRobin Pauli 1,2 , Abigail Morrison 1,2,3 , Tom Tetzlaff 1,21 Institute of Neuroscience and Medicine (INM-6)2 Institute for Advanced Simulation (IAS-6)3 Faculty of Psychology, Institute of Cognitive Neuroscience, Ruhr-University Bochu...
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Personal Name(s): | Pauli, Robin |
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Morrison, Abigail / Tetzlaff, Tom | |
Contributing Institute: |
Jara-Institut Brain structure-function relationships; INM-10 Computational and Systems Neuroscience; INM-6 Computational and Systems Neuroscience; IAS-6 |
Imprint: |
2017
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Conference: | 12th Goettingen Meeting of the German Neuroscience Society, Goettingen (Germany), 2017-03-22 - 2017-03-25 |
Document Type: |
Poster |
Research Program: |
Mathematische Modellierung der Entstehung und Suppression pathologischer Aktivitätszustände in den Basalganglien-Kortex-Schleifen (Dys-)function and Plasticity Theory, modelling and simulation |
Publikationsportal JuSER |
Source localization based on multi-electrode local field potentialsRobin Pauli 1,2 , Abigail Morrison 1,2,3 , Tom Tetzlaff 1,21 Institute of Neuroscience and Medicine (INM-6)2 Institute for Advanced Simulation (IAS-6)3 Faculty of Psychology, Institute of Cognitive Neuroscience, Ruhr-University Bochum, Bochum, GermanyContact: r.pauli@fz-juelich.deKeywords: Independent Component Analysis (ICA); Local field potential (LFP); Neurodegenerative dis-eases; Parkinson’s disease.In Parkinson’s disease, deep-brain stimulation (DBS) of the subthalamic nucleus (STN) can suppresspathological oscillations and reduce motor symptoms [1].The efficacy and the extent of side effects ofDBS, however, depend critically on the position of the stimulation electrode [2].In particular with the increased use of directional DBS, it is becoming increasingly difficult to find optimal stimulation parameters.A major challenge during the positioning of DBS-electrodes is the detection of hotspots associated withthe generation of pathological oscillatory (coherent) activity. A precise localization of such sources wouldsignificantly speed up the DBS-electrode implantation process and the adjustment of stimulus parameters.In the framework of a simplified computational model, we develop and test a method aiming at localizing populations of coherently active neurons (“hotspots”) based on local field potentials (LFPs) recordedwith multiple electrodes. The model consists of an ensemble of hypothetical LFP senders (“neurons”) distributed in 3D space. Subpopulations of coherently active senders (“hotspots”) are embedded into a bathof uncorrelated senders (“background noise”). For each electrode contact, the compound LFP is givenby the linear superposition of the individual signals weighted by the sender-electrode distances. To reconstruct the hotspot positions, we decompose the compound LFPs measured at the individual electrodecontacts into independent components (ICA). We then determine the spatial origin of these componentsby a triangulation procedure which accounts for the dependency of the LFP amplitude on the cell-electrodedistance. We investigate how the precision of the hotspot localization depends on parameters such asthe hotspot-electrode distance, the hotspot size, as well as the signal-to-noise ratio (power of the hotspotsignals relative to the background noise).Acknowledgements. Supported by DFG GR 1753/3-1 Klinische Forschergruppe (KFO219, TP9)References[1] Deep brain stimulation for Parkinson’s disease. Benabid, A. L. (2003)[2] Beta-Coupled High-Frequency Activity and Beta-Locked Neuronal Spiking in the Subthalamic Nucleus of Parkinson’s Dis-ease, Yang et al. (2014) |