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Continuity, Divergence, and the Evolution of Brain Language Pathways

Overview of attention for article published in Frontiers in Evolutionary Neuroscience, January 2012
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3 X users
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1 YouTube creator

Citations

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159 Dimensions

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152 Mendeley
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3 CiteULike
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Title
Continuity, Divergence, and the Evolution of Brain Language Pathways
Published in
Frontiers in Evolutionary Neuroscience, January 2012
DOI 10.3389/fnevo.2011.00011
Pubmed ID
Authors

James K. Rilling, Matthew F. Glasser, Saad Jbabdi, Jesper Andersson, Todd M. Preuss

Abstract

Recently, the assumption of evolutionary continuity between humans and non-human primates has been used to bolster the hypothesis that human language is mediated especially by the ventral extreme capsule pathway that mediates auditory object recognition in macaques. Here, we argue for the importance of evolutionary divergence in understanding brain language evolution. We present new comparative data reinforcing our previous conclusion that the dorsal arcuate fasciculus pathway was more significantly modified than the ventral extreme capsule pathway in human evolution. Twenty-six adult human and twenty-six adult chimpanzees were imaged with diffusion-weighted MRI and probabilistic tractography was used to track and compare the dorsal and ventral language pathways. Based on these and other data, we argue that the arcuate fasciculus is likely to be the pathway most essential for higher-order aspects of human language such as syntax and lexical-semantics.

X Demographics

X Demographics

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 152 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
Japan 1 <1%
China 1 <1%
Italy 1 <1%
Unknown 146 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 29 19%
Researcher 25 16%
Student > Master 17 11%
Student > Doctoral Student 13 9%
Professor 13 9%
Other 34 22%
Unknown 21 14%
Readers by discipline Count As %
Neuroscience 29 19%
Psychology 25 16%
Agricultural and Biological Sciences 23 15%
Medicine and Dentistry 13 9%
Engineering 8 5%
Other 24 16%
Unknown 30 20%
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 22 July 2021.
All research outputs
#14,732,278
of 22,675,759 outputs
Outputs from Frontiers in Evolutionary Neuroscience
#29
of 35 outputs
Outputs of similar age
#159,230
of 244,088 outputs
Outputs of similar age from Frontiers in Evolutionary Neuroscience
#14
of 17 outputs
Altmetric has tracked 22,675,759 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 35 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 35.2. This one scored the same or higher as 6 of them.
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 244,088 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.