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Structure predicts function: Combining non-invasive electrophysiology with in-vivo histology

Overview of attention for article published in NeuroImage, December 2014
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  • Good Attention Score compared to outputs of the same age (78th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

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Article details
Title
Structure predicts function: Combining non-invasive electrophysiology with in-vivo histology
Published in
NeuroImage, December 2014
DOI 10.1016/j.neuroimage.2014.12.030
Pubmed ID
Authors
Abstract

We present an approach for combining high resolution MRI-based myelin mapping with functional information from electroencephalography (EEG) or magnetoencephalography (MEG). The main contribution to the primary currents detectable with EEG and MEG comes from ionic currents in the apical dendrites of cortical pyramidal cells, aligned perpendicular to the local cortical surface. We provide evidence from an in-vivo experiment that the known microstructural variation in myelinated pyramidal cell density across the cortex predicts the variation of the current density over individuals and thus is of functional relevance. Current dipole moments of pitch onset evoked response fields (ERFs) were source localised by means of a variational Bayesian equivalent current dipole algorithm. The myeloarchitecture was estimated indirectly from individual high resolution quantitative multi-parameter maps (MPMs) acquired at 800μm isotropic resolution. Myelin estimates across cortical areas correlated positively with dipole magnitude. This correlation was spatially specific: regions of interest in auditory cortex provided significantly better models than those covering whole hemispheres. Based on the MPM data we identified the auditory cortical area TE1.2 as the most likely origin of the pitch ERFs measured by MEG. We can now proceed to exploit the higher spatial resolution of quantitative MPMs to identify the cortical origin of M/EEG signals, inform M/EEG source reconstruction and explore structure-function relationships at the fine structural level in the living human brain.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United Kingdom 4 4%
Germany 2 2%
Netherlands 1 1%
Japan 1 1%
Italy 1 1%
Ghana 1 1%
Unknown 82 89%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 26 28%
Researcher 21 23%
Student > Master 12 13%
Other 4 4%
Lecturer 4 4%
Other 15 16%
Unknown 10 11%
Readers by discipline
Readers by discipline Count As %
Neuroscience 24 26%
Psychology 13 14%
Medicine and Dentistry 9 10%
Engineering 8 9%
Agricultural and Biological Sciences 7 8%
Other 11 12%
Unknown 20 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 December 2014.
All research outputs
#7,491,411
of 29,841,715 outputs
Outputs from NeuroImage
#4,807
of 12,821 outputs
Outputs of similar age
#82,386
of 375,775 outputs
Outputs of similar age from NeuroImage
#57
of 161 outputs
Altmetric has tracked 29,841,715 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 12,821 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 62% 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 375,775 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 78% of its contemporaries.
We're also able to compare this research output to 161 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 64% of its contemporaries.