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A probabilistic approach for pediatric epilepsy diagnosis using brain functional connectivity networks

Overview of attention for article published in BMC Bioinformatics, April 2015
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Title
A probabilistic approach for pediatric epilepsy diagnosis using brain functional connectivity networks
Published in
BMC Bioinformatics, April 2015
DOI 10.1186/1471-2105-16-s7-s9
Pubmed ID
Authors

Saman Sargolzaei, Mercedes Cabrerizo, Arman Sargolzaei, Shirin Noei, Anas Salah Eddin, Hoda Rajaei, Alberto Pinzon-Ardila, Sergio M Gonzalez-Arias, Prasanna Jayakar, Malek Adjouadi

Abstract

The lives of half a million children in the United States are severely affected due to the alterations in their functional and mental abilities which epilepsy causes. This study aims to introduce a novel decision support system for the diagnosis of pediatric epilepsy based on scalp EEG data in a clinical environment. A new time varying approach for constructing functional connectivity networks (FCNs) of 18 subjects (7 subjects from pediatric control (PC) group and 11 subjects from pediatric epilepsy (PE) group) is implemented by moving a window with overlap to split the EEG signals into a total of 445 multi-channel EEG segments (91 for PC and 354 for PE) and finding the hypothetical functional connectivity strengths among EEG channels. FCNs are then mapped into the form of undirected graphs and subjected to extraction of graph theory based features. An unsupervised labeling technique based on Gaussian mixtures model (GMM) is then used to delineate the pediatric epilepsy group from the control group. The study results show the existence of a statistically significant difference (p < 0.0001) between the mean FCNs of PC and PE groups. The system was able to diagnose pediatric epilepsy subjects with the accuracy of 88.8% with 81.8% sensitivity and 100% specificity purely based on exploration of associations among brain cortical regions and without a priori knowledge of diagnosis. The current study created the potential of diagnosing epilepsy without need for long EEG recording session and time-consuming visual inspection as conventionally employed.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Ethiopia 1 2%
Unknown 58 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 17%
Student > Ph. D. Student 6 10%
Student > Master 6 10%
Student > Doctoral Student 5 8%
Other 4 7%
Other 13 22%
Unknown 16 27%
Readers by discipline Count As %
Medicine and Dentistry 11 18%
Engineering 7 12%
Neuroscience 7 12%
Computer Science 6 10%
Psychology 3 5%
Other 8 13%
Unknown 18 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 05 May 2015.
All research outputs
#14,223,874
of 22,803,211 outputs
Outputs from BMC Bioinformatics
#4,721
of 7,281 outputs
Outputs of similar age
#139,488
of 265,380 outputs
Outputs of similar age from BMC Bioinformatics
#95
of 139 outputs
Altmetric has tracked 22,803,211 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,281 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 31st percentile – i.e., 31% 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 265,380 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 139 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.