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LFP Oscillations in the Mesencephalic Locomotor Region during Voluntary Locomotion

Overview of attention for article published in Frontiers in Neural Circuits, May 2017
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Title
LFP Oscillations in the Mesencephalic Locomotor Region during Voluntary Locomotion
Published in
Frontiers in Neural Circuits, May 2017
DOI 10.3389/fncir.2017.00034
Pubmed ID
Authors

Brian R. Noga, Francisco J. Sanchez, Luz M. Villamil, Christopher O’Toole, Stefan Kasicki, Maciej Olszewski, Anna M. Cabaj, Henryk Majczyński, Urszula Sławińska, Larry M. Jordan

Abstract

Oscillatory rhythms in local field potentials (LFPs) are thought to coherently bind cooperating neuronal ensembles to produce behaviors, including locomotion. LFPs recorded from sites that trigger locomotion have been used as a basis for identification of appropriate targets for deep brain stimulation (DBS) to enhance locomotor recovery in patients with gait disorders. Theta band activity (6-12 Hz) is associated with locomotor activity in locomotion-inducing sites in the hypothalamus and in the hippocampus, but the LFPs that occur in the functionally defined mesencephalic locomotor region (MLR) during locomotion have not been determined. Here we record the oscillatory activity during treadmill locomotion in MLR sites effective for inducing locomotion with electrical stimulation in rats. The results show the presence of oscillatory theta rhythms in the LFPs recorded from the most effective MLR stimulus sites (at threshold ≤60 μA). Theta activity increased at the onset of locomotion, and its power was correlated with the speed of locomotion. In animals with higher thresholds (>60 μA), the correlation between locomotor speed and theta LFP oscillations was less robust. Changes in the gamma band (previously recorded in vitro in the pedunculopontine nucleus (PPN), thought to be a part of the MLR) were relatively small. Controlled locomotion was best achieved at 10-20 Hz frequencies of MLR stimulation. Our results indicate that theta and not delta or gamma band oscillation is a suitable biomarker for identifying the functional MLR sites.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 62 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 19%
Student > Master 11 18%
Student > Bachelor 7 11%
Student > Doctoral Student 5 8%
Researcher 5 8%
Other 9 15%
Unknown 13 21%
Readers by discipline Count As %
Neuroscience 13 21%
Engineering 10 16%
Medicine and Dentistry 6 10%
Nursing and Health Professions 4 6%
Agricultural and Biological Sciences 2 3%
Other 6 10%
Unknown 21 34%
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 29 May 2017.
All research outputs
#18,552,700
of 22,977,819 outputs
Outputs from Frontiers in Neural Circuits
#942
of 1,221 outputs
Outputs of similar age
#238,363
of 312,894 outputs
Outputs of similar age from Frontiers in Neural Circuits
#23
of 25 outputs
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