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Localization of MEG human brain responses to retinotopic visual stimuli with contrasting source reconstruction approaches

Overview of attention for article published in Frontiers in Neuroscience, May 2014
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

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1 news outlet
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1 Google+ user

Citations

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74 Mendeley
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Title
Localization of MEG human brain responses to retinotopic visual stimuli with contrasting source reconstruction approaches
Published in
Frontiers in Neuroscience, May 2014
DOI 10.3389/fnins.2014.00127
Pubmed ID
Authors

Nela Cicmil, Holly Bridge, Andrew J. Parker, Mark W. Woolrich, Kristine Krug

Abstract

Magnetoencephalography (MEG) allows the physiological recording of human brain activity at high temporal resolution. However, spatial localization of the source of the MEG signal is an ill-posed problem as the signal alone cannot constrain a unique solution and additional prior assumptions must be enforced. An adequate source reconstruction method for investigating the human visual system should place the sources of early visual activity in known locations in the occipital cortex. We localized sources of retinotopic MEG signals from the human brain with contrasting reconstruction approaches (minimum norm, multiple sparse priors, and beamformer) and compared these to the visual retinotopic map obtained with fMRI in the same individuals. When reconstructing brain responses to visual stimuli that differed by angular position, we found reliable localization to the appropriate retinotopic visual field quadrant by a minimum norm approach and by beamforming. Retinotopic map eccentricity in accordance with the fMRI map could not consistently be localized using an annular stimulus with any reconstruction method, but confining eccentricity stimuli to one visual field quadrant resulted in significant improvement with the minimum norm. These results inform the application of source analysis approaches for future MEG studies of the visual system, and indicate some current limits on localization accuracy of MEG signals.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 4%
United Kingdom 2 3%
Chile 1 1%
Germany 1 1%
Japan 1 1%
Netherlands 1 1%
Unknown 65 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 34%
Researcher 16 22%
Student > Master 10 14%
Professor 6 8%
Student > Bachelor 4 5%
Other 6 8%
Unknown 7 9%
Readers by discipline Count As %
Neuroscience 16 22%
Agricultural and Biological Sciences 15 20%
Psychology 14 19%
Engineering 6 8%
Medicine and Dentistry 3 4%
Other 8 11%
Unknown 12 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 24 April 2016.
All research outputs
#2,624,870
of 24,143,470 outputs
Outputs from Frontiers in Neuroscience
#1,699
of 10,830 outputs
Outputs of similar age
#26,414
of 230,866 outputs
Outputs of similar age from Frontiers in Neuroscience
#15
of 101 outputs
Altmetric has tracked 24,143,470 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,830 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one has done well, scoring higher than 84% 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 230,866 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 101 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.