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High-frequency oscillations in epilepsy and surgical outcome. A meta-analysis

Overview of attention for article published in Frontiers in Human Neuroscience, October 2015
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Title
High-frequency oscillations in epilepsy and surgical outcome. A meta-analysis
Published in
Frontiers in Human Neuroscience, October 2015
DOI 10.3389/fnhum.2015.00574
Pubmed ID
Authors

Yvonne Höller, Raoul Kutil, Lukas Klaffenböck, Aljoscha Thomschewski, Peter M. Höller, Arne C. Bathke, Julia Jacobs, Alexandra C. Taylor, Raffaele Nardone, Eugen Trinka

Abstract

High frequency oscillations (HFOs) are estimated as a potential marker for epileptogenicity. Current research strives for valid evidence that these HFOs could aid the delineation of the to-be resected area in patients with refractory epilepsy and improve surgical outcomes. In the present meta-analysis, we evaluated the relation between resection of regions from which HFOs can be detected and outcome after epilepsy surgery. We conducted a systematic review of all studies that related the resection of HFO-generating areas to postsurgical outcome. We related the outcome (seizure freedom) to resection ratio, that is, the ratio between the number of channels on which HFOs were detected and, among these, the number of channels that were inside the resected area. We compared the resection ratio between seizure free and not seizure free patients. In total, 11 studies were included. In 10 studies, ripples (80-200 Hz) were analyzed, and in 7 studies, fast ripples (>200 Hz) were studied. We found comparable differences (dif) and largely overlapping confidence intervals (CI) in resection ratios between outcome groups for ripples (dif = 0.18; CI: 0.10-0.27) and fast ripples (dif = 0.17; CI: 0.01-0.33). Subgroup analysis showed that automated detection (dif = 0.22; CI: 0.03-0.41) was comparable to visual detection (dif = 0.17; CI: 0.08-0.27). Considering frequency of HFOs (dif = 0.24; CI: 0.09-0.38) was related more strongly to outcome than considering each electrode that was showing HFOs (dif = 0.15; CI = 0.03-0.27). The effect sizes found in the meta-analysis are small but significant. Automated detection and application of a detection threshold in order to detect channels with a frequent occurrence of HFOs is important to yield a marker that could be useful in presurgical evaluation. In order to compare studies with different methodological approaches, detailed and standardized reporting is warranted.

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The data shown below were compiled from readership statistics for 160 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 1%
Brazil 1 <1%
Unknown 157 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 28 18%
Student > Ph. D. Student 23 14%
Student > Master 23 14%
Other 11 7%
Student > Bachelor 11 7%
Other 28 18%
Unknown 36 23%
Readers by discipline Count As %
Neuroscience 38 24%
Medicine and Dentistry 34 21%
Engineering 17 11%
Agricultural and Biological Sciences 8 5%
Computer Science 6 4%
Other 15 9%
Unknown 42 26%
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 11 December 2015.
All research outputs
#20,295,501
of 22,832,057 outputs
Outputs from Frontiers in Human Neuroscience
#6,543
of 7,155 outputs
Outputs of similar age
#237,339
of 283,126 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#138
of 157 outputs
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