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Neural Substrate Expansion for the Restoration of Brain Function

Overview of attention for article published in Frontiers in Systems Neuroscience, January 2016
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  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

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Title
Neural Substrate Expansion for the Restoration of Brain Function
Published in
Frontiers in Systems Neuroscience, January 2016
DOI 10.3389/fnsys.2016.00001
Pubmed ID
Authors

H. Isaac Chen, Dennis Jgamadze, Mijail D. Serruya, D. Kacy Cullen, John A. Wolf, Douglas H. Smith

Abstract

Restoring neurological and cognitive function in individuals who have suffered brain damage is one of the principal objectives of modern translational neuroscience. Electrical stimulation approaches, such as deep-brain stimulation, have achieved the most clinical success, but they ultimately may be limited by the computational capacity of the residual cerebral circuitry. An alternative strategy is brain substrate expansion, in which the computational capacity of the brain is augmented through the addition of new processing units and the reconstitution of network connectivity. This latter approach has been explored to some degree using both biological and electronic means but thus far has not demonstrated the ability to reestablish the function of large-scale neuronal networks. In this review, we contend that fulfilling the potential of brain substrate expansion will require a significant shift from current methods that emphasize direct manipulations of the brain (e.g., injections of cellular suspensions and the implantation of multi-electrode arrays) to the generation of more sophisticated neural tissues and neural-electric hybrids in vitro that are subsequently transplanted into the brain. Drawing from neural tissue engineering, stem cell biology, and neural interface technologies, this strategy makes greater use of the manifold techniques available in the laboratory to create biocompatible constructs that recapitulate brain architecture and thus are more easily recognized and utilized by brain networks.

X Demographics

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

Geographical breakdown

Country Count As %
United States 1 2%
Italy 1 2%
Unknown 64 97%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 13 20%
Student > Ph. D. Student 10 15%
Student > Master 9 14%
Researcher 8 12%
Professor 5 8%
Other 11 17%
Unknown 10 15%
Readers by discipline Count As %
Medicine and Dentistry 10 15%
Agricultural and Biological Sciences 9 14%
Neuroscience 9 14%
Engineering 5 8%
Psychology 4 6%
Other 17 26%
Unknown 12 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 30 July 2017.
All research outputs
#7,690,446
of 25,196,456 outputs
Outputs from Frontiers in Systems Neuroscience
#581
of 1,405 outputs
Outputs of similar age
#116,235
of 408,540 outputs
Outputs of similar age from Frontiers in Systems Neuroscience
#20
of 48 outputs
Altmetric has tracked 25,196,456 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 1,405 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.1. This one has gotten more attention than average, scoring higher than 58% 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 408,540 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 48 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.