↓ Skip to main content

The global landscape of cognition: hierarchical aggregation as an organizational principle of human cortical networks and functions

Overview of attention for article published in Scientific Reports, December 2015
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
1 news outlet
blogs
3 blogs
twitter
128 tweeters
facebook
4 Facebook pages
googleplus
3 Google+ users
reddit
1 Redditor

Citations

dimensions_citation
35 Dimensions

Readers on

mendeley
146 Mendeley
Title
The global landscape of cognition: hierarchical aggregation as an organizational principle of human cortical networks and functions
Published in
Scientific Reports, December 2015
DOI 10.1038/srep18112
Pubmed ID
Authors

P. Taylor, J. N. Hobbs, J. Burroni, H. T. Siegelmann

Abstract

Though widely hypothesized, limited evidence exists that human brain functions organize in global gradients of abstraction starting from sensory cortical inputs. Hierarchical representation is accepted in computational networks, and tentatively in visual neuroscience, yet no direct holistic demonstrations exist in vivo. Our methods developed network models enriched with tiered directionality, by including input locations, a critical feature for localizing representation in networks generally. Grouped primary sensory cortices defined network inputs, displaying global connectivity to fused inputs. Depth-oriented networks guided analyses of fMRI databases (~17,000 experiments;~1/4 of fMRI literature). Formally, we tested whether network depth predicted localization of abstract versus concrete behaviors over the whole set of studied brain regions. For our results, new cortical graph metrics, termed network-depth, ranked all databased cognitive function activations by network-depth. Thus, we objectively sorted stratified landscapes of cognition, starting from grouped sensory inputs in parallel, progressing deeper into cortex. This exposed escalating amalgamation of function or abstraction with increasing network-depth, globally. Nearly 500 new participants confirmed our results. In conclusion, data-driven analyses defined a hierarchically ordered connectome, revealing a related continuum of cognitive function. Progressive functional abstraction over network depth may be a fundamental feature of brains, and is observed in artificial networks.

Twitter Demographics

The data shown below were collected from the profiles of 128 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 146 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
Japan 2 1%
Canada 1 <1%
Brazil 1 <1%
Sweden 1 <1%
South Africa 1 <1%
Slovakia 1 <1%
France 1 <1%
Iran, Islamic Republic of 1 <1%
Other 6 4%
Unknown 128 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 32 22%
Student > Ph. D. Student 31 21%
Student > Master 20 14%
Professor 11 8%
Student > Postgraduate 9 6%
Other 30 21%
Unknown 13 9%
Readers by discipline Count As %
Computer Science 31 21%
Psychology 26 18%
Neuroscience 21 14%
Agricultural and Biological Sciences 13 9%
Engineering 8 5%
Other 22 15%
Unknown 25 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 115. 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 10 March 2020.
All research outputs
#154,908
of 14,515,681 outputs
Outputs from Scientific Reports
#1,914
of 75,171 outputs
Outputs of similar age
#4,870
of 363,997 outputs
Outputs of similar age from Scientific Reports
#83
of 3,499 outputs
Altmetric has tracked 14,515,681 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 75,171 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.7. This one has done particularly well, scoring higher than 97% 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 363,997 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 3,499 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.