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Allocating structure to function: the strong links between neuroplasticity and natural selection

Overview of attention for article published in Frontiers in Human Neuroscience, January 2014
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

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164 Mendeley
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Title
Allocating structure to function: the strong links between neuroplasticity and natural selection
Published in
Frontiers in Human Neuroscience, January 2014
DOI 10.3389/fnhum.2013.00918
Pubmed ID
Authors

Michael L. Anderson, Barbara L. Finlay

Abstract

A central question in brain evolution is how species-typical behaviors, and the neural function-structure mappings supporting them, can be acquired and inherited. Advocates of brain modularity, in its different incarnations across scientific subfields, argue that natural selection must target domain-dedicated, separately modifiable neural subsystems, resulting in genetically-specified functional modules. In such modular systems, specification of neuron number and functional connectivity are necessarily linked. Mounting evidence, however, from allometric, developmental, comparative, systems-physiological, neuroimaging and neurological studies suggests that brain elements are used and reused in multiple functional systems. This variable allocation can be seen in short-term neuromodulation, in neuroplasticity over the lifespan and in response to damage. We argue that the same processes are evident in brain evolution. Natural selection must preserve behavioral functions that may co-locate in variable amounts with other functions. In genetics, the uses and problems of pleiotropy, the re-use of genes in multiple networks have been much discussed, but this issue has been sidestepped in neural systems by the invocation of modules. Here we highlight the interaction between evolutionary and developmental mechanisms to produce distributed and overlapping functional architectures in the brain. These adaptive mechanisms must be robust to perturbations that might disrupt critical information processing and action selection, but must also recognize useful new sources of information arising from internal genetic or environmental variability, when those appear. These contrasting properties of "robustness" and "evolvability" have been discussed for the basic organization of body plan and fundamental cell physiology. Here we extend them to the evolution and development, "evo-devo," of brain structure.

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X Demographics

The data shown below were collected from the profiles of 9 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 164 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
Germany 2 1%
New Zealand 1 <1%
France 1 <1%
Unknown 157 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 39 24%
Researcher 28 17%
Student > Bachelor 21 13%
Student > Master 17 10%
Student > Doctoral Student 12 7%
Other 28 17%
Unknown 19 12%
Readers by discipline Count As %
Psychology 32 20%
Agricultural and Biological Sciences 32 20%
Neuroscience 27 16%
Philosophy 10 6%
Biochemistry, Genetics and Molecular Biology 6 4%
Other 33 20%
Unknown 24 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 04 January 2021.
All research outputs
#4,531,335
of 24,701,898 outputs
Outputs from Frontiers in Human Neuroscience
#2,007
of 7,534 outputs
Outputs of similar age
#51,145
of 316,968 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#48
of 123 outputs
Altmetric has tracked 24,701,898 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,534 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.9. This one has gotten more attention than average, scoring higher than 73% 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 316,968 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 83% of its contemporaries.
We're also able to compare this research output to 123 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 60% of its contemporaries.