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Spontaneous Up states in vitro: a single-metric index of the functional maturation and regional differentiation of the cerebral cortex

Overview of attention for article published in Frontiers in Neural Circuits, October 2015
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  • Above-average Attention Score compared to outputs of the same age (57th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

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Title
Spontaneous Up states in vitro: a single-metric index of the functional maturation and regional differentiation of the cerebral cortex
Published in
Frontiers in Neural Circuits, October 2015
DOI 10.3389/fncir.2015.00059
Pubmed ID
Authors

Pavlos Rigas, Dimitrios A. Adamos, Charalambos Sigalas, Panagiotis Tsakanikas, Nikolaos A. Laskaris, Irini Skaliora

Abstract

Understanding the development and differentiation of the neocortex remains a central focus of neuroscience. While previous studies have examined isolated aspects of cellular and synaptic organization, an integrated functional index of the cortical microcircuit is still lacking. Here we aimed to provide such an index, in the form of spontaneously recurring periods of persistent network activity -or Up states- recorded in mouse cortical slices. These coordinated network dynamics emerge through the orchestrated regulation of multiple cellular and synaptic elements and represent the default activity of the cortical microcircuit. To explore whether spontaneous Up states can capture developmental changes in intracortical networks we obtained local field potential recordings throughout the mouse lifespan. Two independent and complementary methodologies revealed that Up state activity is systematically modified by age, with the largest changes occurring during early development and adolescence. To explore possible regional heterogeneities we also compared the development of Up states in two distinct cortical areas and show that primary somatosensory cortex develops at a faster pace than primary motor cortex. Our findings suggest that in vitro Up states can serve as a functional index of cortical development and differentiation and can provide a baseline for comparing experimental and/or genetic mouse models.

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X Demographics

The data shown below were collected from the profiles of 6 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 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 26%
Student > Ph. D. Student 7 18%
Student > Bachelor 3 8%
Professor 3 8%
Student > Master 3 8%
Other 5 13%
Unknown 7 18%
Readers by discipline Count As %
Neuroscience 17 45%
Agricultural and Biological Sciences 5 13%
Computer Science 3 8%
Nursing and Health Professions 1 3%
Psychology 1 3%
Other 3 8%
Unknown 8 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 16 November 2016.
All research outputs
#12,622,341
of 22,830,751 outputs
Outputs from Frontiers in Neural Circuits
#486
of 1,216 outputs
Outputs of similar age
#119,584
of 279,229 outputs
Outputs of similar age from Frontiers in Neural Circuits
#12
of 34 outputs
Altmetric has tracked 22,830,751 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,216 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one has gotten more attention than average, scoring higher than 59% 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 279,229 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 57% of its contemporaries.
We're also able to compare this research output to 34 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 64% of its contemporaries.