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Brain networking analysis in migraine with and without aura

Overview of attention for article published in The Journal of Headache and Pain, September 2017
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Title
Brain networking analysis in migraine with and without aura
Published in
The Journal of Headache and Pain, September 2017
DOI 10.1186/s10194-017-0803-5
Pubmed ID
Authors

Marina de Tommaso, Gabriele Trotta, Eleonora Vecchio, Katia Ricci, R. Siugzdaite, Sebastiano Stramaglia

Abstract

To apply effective connectivity by means of nonlinear Granger Causality (GC) and brain networking analysis to basal EEG and under visual stimulation by checkerboard gratings with 0.5 and 2.0 cpd as spatial frequency in migraine with aura (MA) and without aura (MO), and to compare these findings with Blood Oxygen Level Dependent (BOLD) signal changes. Nineteen asymptomatic MA and MO patients and 11 age and sex matched controls (C) were recorded by 65 EEG channels. The same visual stimulation was employed to evaluate BOLD signal changes in a subgroup of MA and MO. The GC and brain networking were applied to EEG signals. A different pattern of reduced vs increased GC respectively in MO and MA patients, emerged in resting state. During visual stimulation, both MA and MO showed increased information transfer toward the fronto-central regions, while MA patients showed a segregated cluster of connections in the posterior regions, and an increased bold signal in the visual cortex, more evident at 2 cpd spatial frequency. The wealth of information exchange in the parietal-occipital regions indicates a peculiar excitability of the visual cortex, a pivotal condition for the manifestation of typical aura symptoms.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 58 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 19%
Researcher 6 10%
Student > Postgraduate 4 7%
Student > Master 4 7%
Student > Bachelor 4 7%
Other 7 12%
Unknown 22 38%
Readers by discipline Count As %
Neuroscience 12 21%
Medicine and Dentistry 10 17%
Engineering 3 5%
Agricultural and Biological Sciences 2 3%
Biochemistry, Genetics and Molecular Biology 2 3%
Other 5 9%
Unknown 24 41%
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 28 March 2018.
All research outputs
#21,186,729
of 23,849,058 outputs
Outputs from The Journal of Headache and Pain
#1,311
of 1,417 outputs
Outputs of similar age
#282,670
of 322,906 outputs
Outputs of similar age from The Journal of Headache and Pain
#23
of 24 outputs
Altmetric has tracked 23,849,058 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,417 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.6. This one is in the 1st percentile – i.e., 1% 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 322,906 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.