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Low Frequency Microstimulation Is Locally Excitatory in Patients With Epilepsy

Overview of attention for article published in Frontiers in Neural Circuits, April 2018
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Title
Low Frequency Microstimulation Is Locally Excitatory in Patients With Epilepsy
Published in
Frontiers in Neural Circuits, April 2018
DOI 10.3389/fncir.2018.00022
Pubmed ID
Authors

Andrea Bartoli, Rémi Tyrand, Maria I. Vargas, Shahan Momjian, Colette Boëx

Abstract

Deep brain stimulation (DBS) could become a palliative treatment for patients with drug-resistant epilepsy for which surgery cannot be proposed. The objective of this study was to perform microstimulation to measure the effects of DBS in epilepsy locally at the level of a few neurons, with microelectrode recordings, for the first time in patients with epilepsy. Microelectrode recordings were performed before, during and after microstimulation in nine patients with refractory epilepsy. Neuronal spikes were successfully extracted from multi-unit recordings with clustering in six out of seven patients during hippocampal and in one out of two patients during cortical dysplasia microstimulation (1 Hz, charge-balanced biphasic waveform, 60 μs/ph, 25 μA). The firing rates increased in four out of the six periods of microstimulation that could be analyzed. The firing rates were found higher than before microstimulation in all eight periods with increases reaching significance in six out of eight periods. Low-frequency microstimulation was hence sufficient to induce neuronal excitation lasting beyond the stimulation period. No inhibition was observed. This report presents the first evidence that microstimulation performed in epileptic patients produced locally neuronal excitation. Hence neuronal excitation is shown here as the local mechanism of action of DBS. This local excitation is in agreement with epileptogenic effects of low-frequency hippocampal macrostimulation.

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Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 25%
Student > Bachelor 4 13%
Student > Master 4 13%
Other 3 9%
Student > Ph. D. Student 2 6%
Other 4 13%
Unknown 7 22%
Readers by discipline Count As %
Neuroscience 6 19%
Medicine and Dentistry 5 16%
Engineering 4 13%
Nursing and Health Professions 2 6%
Biochemistry, Genetics and Molecular Biology 2 6%
Other 4 13%
Unknown 9 28%
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 08 April 2018.
All research outputs
#20,480,611
of 23,041,514 outputs
Outputs from Frontiers in Neural Circuits
#1,034
of 1,222 outputs
Outputs of similar age
#290,551
of 329,124 outputs
Outputs of similar age from Frontiers in Neural Circuits
#23
of 24 outputs
Altmetric has tracked 23,041,514 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
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