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Connectomic Insights into Topologically Centralized Network Edges and Relevant Motifs in the Human Brain

Overview of attention for article published in Frontiers in Human Neuroscience, April 2016
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Title
Connectomic Insights into Topologically Centralized Network Edges and Relevant Motifs in the Human Brain
Published in
Frontiers in Human Neuroscience, April 2016
DOI 10.3389/fnhum.2016.00158
Pubmed ID
Authors

Mingrui Xia, Qixiang Lin, Yanchao Bi, Yong He

Abstract

White matter (WM) tracts serve as important material substrates for information transfer across brain regions. However, the topological roles of WM tracts in global brain communications and their underlying microstructural basis remain poorly understood. Here, we employed diffusion magnetic resonance imaging and graph-theoretical approaches to identify the pivotal WM connections in human whole-brain networks and further investigated their wiring substrates (including WM microstructural organization and physical consumption) and topological contributions to the brain's network backbone. We found that the pivotal WM connections with highly topological-edge centrality were primarily distributed in several long-range cortico-cortical connections (including the corpus callosum, cingulum and inferior fronto-occipital fasciculus) and some projection tracts linking subcortical regions. These pivotal WM connections exhibited high levels of microstructural organization indicated by diffusion measures (the fractional anisotropy, the mean diffusivity and the axial diffusivity) and greater physical consumption indicated by streamline lengths, and contributed significantly to the brain's hubs and the rich-club structure. Network motif analysis further revealed their heavy participations in the organization of communication blocks, especially in routes involving inter-hemispheric heterotopic and extremely remote intra-hemispheric systems. Computational simulation models indicated the sharp decrease of global network integrity when attacking these highly centralized edges. Together, our results demonstrated high building-cost consumption and substantial communication capacity contributions for pivotal WM connections, which deepens our understanding of the topological mechanisms that govern the organization of human connectomes.

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The data shown below were collected from the profiles of 3 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 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Unknown 33 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 24%
Student > Ph. D. Student 6 18%
Researcher 4 12%
Student > Bachelor 2 6%
Student > Postgraduate 2 6%
Other 6 18%
Unknown 6 18%
Readers by discipline Count As %
Neuroscience 9 26%
Psychology 6 18%
Computer Science 3 9%
Agricultural and Biological Sciences 3 9%
Nursing and Health Professions 1 3%
Other 4 12%
Unknown 8 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 23 July 2016.
All research outputs
#13,772,627
of 22,862,742 outputs
Outputs from Frontiers in Human Neuroscience
#4,226
of 7,165 outputs
Outputs of similar age
#151,503
of 299,207 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#116
of 178 outputs
Altmetric has tracked 22,862,742 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,165 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.6. This one is in the 39th percentile – i.e., 39% of its peers scored the same or lower than it.
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 299,207 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 178 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.