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The surface area of early visual cortex predicts the amplitude of the visual evoked potential

Overview of attention for article published in Brain Structure and Function, January 2014
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Title
The surface area of early visual cortex predicts the amplitude of the visual evoked potential
Published in
Brain Structure and Function, January 2014
DOI 10.1007/s00429-013-0703-7
Pubmed ID
Authors

Torbjørn Elvsåshagen, Torgeir Moberget, Erlend Bøen, Per K. Hol, Ulrik F. Malt, Stein Andersson, Lars T. Westlye

Abstract

The extensive and increasing use of structural neuroimaging in the neurosciences rests on the assumption of an intimate relationship between structure and function in the human brain. However, few studies have examined the relationship between advanced magnetic resonance imaging (MRI) indices of cerebral structure and conventional measures of cerebral functioning in humans. Here we examined whether MRI-based morphometric measures of early visual cortex-estimated using a probabilistic anatomical mask of primary visual cortex (V1)-can predict the amplitude of the visual evoked potential (VEP), i.e., an electroencephalogram signal that primarily reflects postsynaptic potentials in early visual cortical areas. We found that left, right, and total V1 surface area positively predicted the VEP amplitude. In addition, we showed, using whole brain analysis of local surface areal expansion/contraction, that the association between VEP amplitude and surface area was highly specific for regions within bilateral V1. Together, these findings indicate a strong, selective relationship between MRI-based structural measures and functional properties of the human cerebral cortex.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 6%
United States 2 6%
Norway 1 3%
Unknown 30 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 26%
Student > Ph. D. Student 8 23%
Student > Master 4 11%
Student > Bachelor 3 9%
Professor 3 9%
Other 6 17%
Unknown 2 6%
Readers by discipline Count As %
Medicine and Dentistry 8 23%
Psychology 7 20%
Agricultural and Biological Sciences 6 17%
Neuroscience 3 9%
Engineering 2 6%
Other 3 9%
Unknown 6 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 08 March 2014.
All research outputs
#14,153,620
of 25,182,110 outputs
Outputs from Brain Structure and Function
#689
of 1,753 outputs
Outputs of similar age
#167,427
of 319,335 outputs
Outputs of similar age from Brain Structure and Function
#12
of 28 outputs
Altmetric has tracked 25,182,110 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,753 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one has gotten more attention than average, scoring higher than 60% 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 319,335 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 28 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 60% of its contemporaries.