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Characteristics of Epileptiform Discharge Duration and Interdischarge Interval in Genetic Generalized Epilepsies

Overview of attention for article published in Frontiers in Neurology, February 2018
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Title
Characteristics of Epileptiform Discharge Duration and Interdischarge Interval in Genetic Generalized Epilepsies
Published in
Frontiers in Neurology, February 2018
DOI 10.3389/fneur.2018.00036
Pubmed ID
Authors

Udaya Seneviratne, Ray C. Boston, Mark J. Cook, Wendyl J. D’Souza

Abstract

We sought to investigate (1) the characteristics of epileptiform discharge (ED) duration and interdischarge interval (IDI) and (2) the influence of vigilance state on the ED duration and IDI in genetic generalized epilepsy (GGE). In a cohort of patients diagnosed with GGE, 24-h ambulatory EEG recordings were performed prospectively. We then tabulated durations, IDI, and vigilance state in relation to all EDs captured on EEGs. We used K-means cluster analysis and finite mixture modeling to quantify and characterize the groups of ED duration and IDI. To investigate the influence of sleep, we calculated the mean, median, and SEM in each population from all subjects for sleep state and wakefulness separately, followed by the Kruskal-Wallis test to compare the groups. We analyzed 4,679 EDs and corresponding IDI from 23 abnormal 24-h ambulatory EEGs. Our analysis defined two populations of ED durations and IDI: short and long. In all populations, both ED durations and IDI were significantly longer in wakefulness. Our results highlight different characteristics of ED populations in GGE and the influence by the sleep-wake cycle.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 19%
Student > Bachelor 4 11%
Student > Doctoral Student 3 8%
Student > Master 3 8%
Researcher 3 8%
Other 6 16%
Unknown 11 30%
Readers by discipline Count As %
Medicine and Dentistry 7 19%
Neuroscience 5 14%
Biochemistry, Genetics and Molecular Biology 2 5%
Nursing and Health Professions 2 5%
Agricultural and Biological Sciences 2 5%
Other 7 19%
Unknown 12 32%
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 19 February 2018.
All research outputs
#18,141,324
of 23,305,591 outputs
Outputs from Frontiers in Neurology
#7,276
of 12,215 outputs
Outputs of similar age
#241,201
of 331,584 outputs
Outputs of similar age from Frontiers in Neurology
#143
of 246 outputs
Altmetric has tracked 23,305,591 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,215 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one is in the 34th percentile – i.e., 34% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 331,584 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 246 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.