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Spatial Localization of Sources in the Rat Subthalamic Motor Region Using an Inverse Current Source Density Method

Overview of attention for article published in Frontiers in Neural Circuits, November 2016
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Title
Spatial Localization of Sources in the Rat Subthalamic Motor Region Using an Inverse Current Source Density Method
Published in
Frontiers in Neural Circuits, November 2016
DOI 10.3389/fncir.2016.00087
Pubmed ID
Authors

Kees J. van Dijk, Marcus L. F. Janssen, Daphne G. M. Zwartjes, Yasin Temel, Veerle Visser-Vandewalle, Peter H. Veltink, Abdelhamid Benazzouz, Tjitske Heida

Abstract

Objective: In this study we introduce the use of the current source density (CSD) method as a way to visualize the spatial organization of evoked responses in the rat subthalamic nucleus (STN) at fixed time stamps resulting from motor cortex stimulation. This method offers opportunities to visualize neuronal input and study the relation between the synaptic input and the neural output of neural populations. Approach: Motor cortex evoked local field potentials and unit activity were measured in the subthalamic region, with a 3D measurement grid consisting of 320 measurement points and high spatial resolution. This allowed us to visualize the evoked synaptic input by estimating the current source density (CSD) from the measured local field potentials, using the inverse CSD method. At the same time, the neuronal output of the cells within the grid is assessed by calculating post stimulus time histograms. Main results: The CSD method resulted in clear and distinguishable sources and sinks of the neuronal input activity in the STN after motor cortex stimulation. We showed that the center of the synaptic input of the STN from the motor cortex is located dorsal to the input from globus pallidus. Significance: For the first time we have performed CSD analysis on motor cortex stimulation evoked LFP responses in the rat STN as a proof of principle. Our results suggest that the CSD method can be used to gain new insights into the spatial extent of synaptic pathways in brain structures.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 45%
Professor > Associate Professor 3 14%
Student > Master 3 14%
Student > Ph. D. Student 2 9%
Student > Bachelor 2 9%
Other 1 5%
Unknown 1 5%
Readers by discipline Count As %
Neuroscience 8 36%
Engineering 5 23%
Agricultural and Biological Sciences 3 14%
Psychology 2 9%
Unspecified 1 5%
Other 0 0%
Unknown 3 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 November 2016.
All research outputs
#20,355,479
of 22,903,988 outputs
Outputs from Frontiers in Neural Circuits
#1,031
of 1,218 outputs
Outputs of similar age
#269,112
of 311,565 outputs
Outputs of similar age from Frontiers in Neural Circuits
#24
of 30 outputs
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