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Untangling Cortico-Striatal Connectivity and Cross-Frequency Coupling in L-DOPA-Induced Dyskinesia

Overview of attention for article published in Frontiers in Systems Neuroscience, March 2016
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Title
Untangling Cortico-Striatal Connectivity and Cross-Frequency Coupling in L-DOPA-Induced Dyskinesia
Published in
Frontiers in Systems Neuroscience, March 2016
DOI 10.3389/fnsys.2016.00026
Pubmed ID
Authors

Jovana J. Belić, Pär Halje, Ulrike Richter, Per Petersson, Jeanette Hellgren Kotaleski

Abstract

We simultaneously recorded local field potentials (LFPs) in the primary motor cortex and sensorimotor striatum in awake, freely behaving, 6-OHDA lesioned hemi-parkinsonian rats in order to study the features directly related to pathological states such as parkinsonian state and levodopa-induced dyskinesia. We analyzed the spectral characteristics of the obtained signals and observed that during dyskinesia the most prominent feature was a relative power increase in the high gamma frequency range at around 80 Hz, while for the parkinsonian state it was in the beta frequency range. Here we show that during both pathological states effective connectivity in terms of Granger causality is bidirectional with an accent on the striatal influence on the cortex. In the case of dyskinesia, we also found a high increase in effective connectivity at 80 Hz. In order to further understand the 80-Hz phenomenon, we performed cross-frequency analysis and observed characteristic patterns in the case of dyskinesia but not in the case of the parkinsonian state or the control state. We noted a large decrease in the modulation of the amplitude at 80 Hz by the phase of low frequency oscillations (up to ~10 Hz) across both structures in the case of dyskinesia. This may suggest a lack of coupling between the low frequency activity of the recorded network and the group of neurons active at ~80 Hz.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 2%
France 1 2%
Unknown 53 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 22%
Student > Ph. D. Student 11 20%
Student > Postgraduate 5 9%
Student > Bachelor 4 7%
Professor 4 7%
Other 11 20%
Unknown 8 15%
Readers by discipline Count As %
Neuroscience 19 35%
Agricultural and Biological Sciences 9 16%
Medicine and Dentistry 6 11%
Psychology 2 4%
Computer Science 2 4%
Other 7 13%
Unknown 10 18%
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 30 March 2016.
All research outputs
#20,317,110
of 22,858,915 outputs
Outputs from Frontiers in Systems Neuroscience
#1,225
of 1,344 outputs
Outputs of similar age
#254,730
of 300,631 outputs
Outputs of similar age from Frontiers in Systems Neuroscience
#34
of 36 outputs
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