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State-Dependent Modulation of Visual Evoked Potentials in a Rodent Genetic Model of Electroencephalographic Instability

Overview of attention for article published in Frontiers in Systems Neuroscience, August 2018
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Title
State-Dependent Modulation of Visual Evoked Potentials in a Rodent Genetic Model of Electroencephalographic Instability
Published in
Frontiers in Systems Neuroscience, August 2018
DOI 10.3389/fnsys.2018.00036
Pubmed ID
Authors

Janne Grønli, Michelle A. Schmidt, Jonathan P. Wisor

Abstract

Despite normal sleep timing and duration, Egr3-deficient (Egr3-/-) mice exhibit electroencephalographic (EEG) characteristics of reduced arousal, including elevated slow wave (1-4 Hz) activity during wakefulness. Here we show that these mice exhibit state-dependent instability in the EEG. Intermittent surges in EEG power were found in Egr3-/- mice during wakefulness and rapid eye movement sleep, most prominently in the beta (15-35 Hz) range compared to wild type (Egr3+/+) mice. Such surges did not coincide with sleep onset, as the surges were not associated with cessation of electromyographic tone. Cortical processing of sensory information by visual evoked responses (VEP) were found to vary as a function of vigilance state, being of higher magnitude during slow wave sleep (SWS) than wakefulness and rapid eye movement sleep. VEP responses were significantly larger during quiet wakefulness than active wakefulness, in both Egr3-/- mice and Egr3+/+ mice. EEG synchronization in the beta range, previously linked to the accumulation of sleep need over time, predicted VEP magnitude. Egr3-/- mice not only displayed elevated beta activity, but in quiet wake, this elevated beta activity coincides with an elevated evoked response similar to that of animals in SWS. These data confirm that (a) VEPs vary as a function of vigilance state, and (b) beta activity in the EEG is a predictor of state-dependent modulation of visual information processing. The phenotype of Egr3-/- mice indicates that Egr3 is a genetic regulator of these phenomena.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 19%
Researcher 2 13%
Student > Master 2 13%
Student > Doctoral Student 1 6%
Professor 1 6%
Other 0 0%
Unknown 7 44%
Readers by discipline Count As %
Neuroscience 3 19%
Biochemistry, Genetics and Molecular Biology 2 13%
Business, Management and Accounting 1 6%
Pharmacology, Toxicology and Pharmaceutical Science 1 6%
Chemistry 1 6%
Other 1 6%
Unknown 7 44%
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 26 August 2018.
All research outputs
#20,529,980
of 23,099,576 outputs
Outputs from Frontiers in Systems Neuroscience
#1,229
of 1,346 outputs
Outputs of similar age
#288,617
of 330,630 outputs
Outputs of similar age from Frontiers in Systems Neuroscience
#14
of 15 outputs
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