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Communication and wiring in the cortical connectome

Overview of attention for article published in Frontiers in Neuroanatomy, January 2012
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Title
Communication and wiring in the cortical connectome
Published in
Frontiers in Neuroanatomy, January 2012
DOI 10.3389/fnana.2012.00042
Pubmed ID
Authors

Julian M. L. Budd, Zoltán F. Kisvárday

Abstract

In cerebral cortex, the huge mass of axonal wiring that carries information between near and distant neurons is thought to provide the neural substrate for cognitive and perceptual function. The goal of mapping the connectivity of cortical axons at different spatial scales, the cortical connectome, is to trace the paths of information flow in cerebral cortex. To appreciate the relationship between the connectome and cortical function, we need to discover the nature and purpose of the wiring principles underlying cortical connectivity. A popular explanation has been that axonal length is strictly minimized both within and between cortical regions. In contrast, we have hypothesized the existence of a multi-scale principle of cortical wiring where to optimize communication there is a trade-off between spatial (construction) and temporal (routing) costs. Here, using recent evidence concerning cortical spatial networks we critically evaluate this hypothesis at neuron, local circuit, and pathway scales. We report three main conclusions. First, the axonal and dendritic arbor morphology of single neocortical neurons may be governed by a similar wiring principle, one that balances the conservation of cellular material and conduction delay. Second, the same principle may be observed for fiber tracts connecting cortical regions. Third, the absence of sufficient local circuit data currently prohibits any meaningful assessment of the hypothesis at this scale of cortical organization. To avoid neglecting neuron and microcircuit levels of cortical organization, the connectome framework should incorporate more morphological description. In addition, structural analyses of temporal cost for cortical circuits should take account of both axonal conduction and neuronal integration delays, which appear mostly of the same order of magnitude. We conclude the hypothesized trade-off between spatial and temporal costs may potentially offer a powerful explanation for cortical wiring patterns.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 4%
Spain 1 2%
United States 1 2%
Netherlands 1 2%
Unknown 51 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 30%
Student > Ph. D. Student 9 16%
Student > Master 6 11%
Professor 5 9%
Other 3 5%
Other 9 16%
Unknown 7 13%
Readers by discipline Count As %
Neuroscience 12 21%
Agricultural and Biological Sciences 11 20%
Engineering 4 7%
Linguistics 3 5%
Psychology 3 5%
Other 12 21%
Unknown 11 20%
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 27 October 2018.
All research outputs
#12,670,768
of 22,684,168 outputs
Outputs from Frontiers in Neuroanatomy
#510
of 1,154 outputs
Outputs of similar age
#141,713
of 244,115 outputs
Outputs of similar age from Frontiers in Neuroanatomy
#13
of 35 outputs
Altmetric has tracked 22,684,168 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 1,154 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.9. This one has gotten more attention than average, scoring higher than 54% 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 244,115 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 35 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 62% of its contemporaries.