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Insights into the Mechanisms of Absence Seizure Generation Provided by EEG with Functional MRI

Overview of attention for article published in Frontiers in Neurology, September 2014
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Title
Insights into the Mechanisms of Absence Seizure Generation Provided by EEG with Functional MRI
Published in
Frontiers in Neurology, September 2014
DOI 10.3389/fneur.2014.00162
Pubmed ID
Authors

Patrick W. Carney, Graeme D. Jackson

Abstract

Absence seizures (AS) are brief epileptic events characterized by loss of awareness with subtle motor features. They may be very frequent, and impact on attention, learning, and memory. A number of pathophysiological models have been developed to explain the mechanism of absence seizure generation, which relies heavily on observations from animal studies. Studying the structural and functional relationships between large-scale brain networks in humans is only practical with non-invasive whole brain techniques. EEG with functional MRI (EEG-fMRI) is one such technique that provides an opportunity to explore the interactions between brain structures involved in AS generation. A number of fMRI techniques including event-related analysis, time-course analysis, and functional connectivity (FC) have identified a common network of structures involved in AS. This network comprises the thalamus, midline, and lateral parietal cortex [the default mode network (DMN)], caudate nuclei, and the reticular structures of the pons. The main component displaying an increase in blood oxygen level dependent (BOLD) signal relative to the resting state, in group studies, is the thalamus while the most consistent cortical change is reduced BOLD signal in the DMN. Time-course analysis shows that, rather than some structures being activated or inactivated during AS, there appears to be increase in activity across components of the network preceding or following the electro-clinical onset of the seizure. The earliest change in BOLD signal occurs in the DMN, prior to the onset of epileptiform events. This region also shows altered FC in patients with AS. Hence, it appears that engagement of this network is central to AS. In this review, we will explore the insights of EEG-fMRI studies into the mechanisms of AS and consider how the DMN is likely to be the major large-scale brain network central to both seizure generation and seizure manifestations.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
New Zealand 1 <1%
United States 1 <1%
Italy 1 <1%
Unknown 99 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 18%
Unspecified 12 12%
Student > Bachelor 12 12%
Student > Ph. D. Student 11 11%
Student > Master 9 9%
Other 22 22%
Unknown 18 18%
Readers by discipline Count As %
Medicine and Dentistry 24 24%
Neuroscience 20 20%
Unspecified 12 12%
Agricultural and Biological Sciences 7 7%
Psychology 6 6%
Other 12 12%
Unknown 21 21%
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 17 September 2014.
All research outputs
#15,305,567
of 22,763,032 outputs
Outputs from Frontiers in Neurology
#6,736
of 11,665 outputs
Outputs of similar age
#137,064
of 237,237 outputs
Outputs of similar age from Frontiers in Neurology
#34
of 64 outputs
Altmetric has tracked 22,763,032 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,665 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 39th percentile – i.e., 39% 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 237,237 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 64 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.