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Unmixing EEG Inverse Solutions Based on Brain Segmentation

Overview of attention for article published in Frontiers in Neuroscience, May 2018
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  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

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9 X users

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13 Dimensions

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28 Mendeley
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Title
Unmixing EEG Inverse Solutions Based on Brain Segmentation
Published in
Frontiers in Neuroscience, May 2018
DOI 10.3389/fnins.2018.00325
Pubmed ID
Authors

Rolando J. Biscay, Jorge F. Bosch-Bayard, Roberto D. Pascual-Marqui

Abstract

Due to its low resolution, any EEG inverse solution provides a source estimate at each voxel that is a mixture of the true source values over all the voxels of the brain. This mixing effect usually causes notable distortion in estimates of source connectivity based on inverse solutions. To lessen this shortcoming, an unmixing approach is introduced for EEG inverse solutions based on piecewise approximation of the unknown source by means of a brain segmentation formed by specified Regions of Interests (ROIs). The approach is general and flexible enough to be applied to any inverse solution with any specified family of ROIs, including point, surface and 3D brain regions. Two of its variants are elaborated in detail: arbitrary piecewise constant sources over arbitrary regions and sources with piecewise constant intensity of known direction over cortex surface regions. Numerically, the approach requires just solving a system of linear equations. Bounds for the error of unmixed estimates are also given. Furthermore, insights on the advantages and of variants of this approach for connectivity analysis are discussed through a variety of designed simulated examples.

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X Demographics

The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 29%
Student > Ph. D. Student 6 21%
Student > Master 3 11%
Professor 2 7%
Professor > Associate Professor 2 7%
Other 2 7%
Unknown 5 18%
Readers by discipline Count As %
Engineering 10 36%
Neuroscience 5 18%
Computer Science 2 7%
Mathematics 1 4%
Medicine and Dentistry 1 4%
Other 0 0%
Unknown 9 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 22 May 2018.
All research outputs
#7,208,166
of 25,382,440 outputs
Outputs from Frontiers in Neuroscience
#4,675
of 11,542 outputs
Outputs of similar age
#116,832
of 340,954 outputs
Outputs of similar age from Frontiers in Neuroscience
#106
of 240 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 11,542 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has gotten more attention than average, scoring higher than 59% of its peers.
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 340,954 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 240 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.