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Large-scale, high-resolution electrophysiological imaging of field potentials in brain slices with microelectronic multielectrode arrays

Overview of attention for article published in Frontiers in Neural Circuits, January 2012
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Title
Large-scale, high-resolution electrophysiological imaging of field potentials in brain slices with microelectronic multielectrode arrays
Published in
Frontiers in Neural Circuits, January 2012
DOI 10.3389/fncir.2012.00080
Pubmed ID
Authors

E. Ferrea, A. Maccione, L. Medrihan, T. Nieus, D. Ghezzi, P. Baldelli, F. Benfenati, L. Berdondini

Abstract

Multielectrode arrays (MEAs) are extensively used for electrophysiological studies on brain slices, but the spatial resolution and field of recording of conventional arrays are limited by the low number of electrodes available. Here, we present a large-scale array recording simultaneously from 4096 electrodes used to study propagating spontaneous and evoked network activity in acute murine cortico-hippocampal brain slices at unprecedented spatial and temporal resolution. We demonstrate that multiple chemically induced epileptiform episodes in the mouse cortex and hippocampus can be classified according to their spatio-temporal dynamics. Additionally, the large-scale and high-density features of our recording system enable the topological localization and quantification of the effects of antiepileptic drugs in local neuronal microcircuits, based on the distinct field potential propagation patterns. This novel high-resolution approach paves the way to detailed electrophysiological studies in brain circuits spanning spatial scales from single neurons up to the entire slice network.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 187 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 2%
Germany 2 1%
United States 2 1%
Switzerland 1 <1%
Italy 1 <1%
France 1 <1%
Greece 1 <1%
Japan 1 <1%
Unknown 175 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 46 25%
Student > Ph. D. Student 43 23%
Student > Master 22 12%
Professor > Associate Professor 11 6%
Other 8 4%
Other 25 13%
Unknown 32 17%
Readers by discipline Count As %
Neuroscience 40 21%
Agricultural and Biological Sciences 35 19%
Engineering 32 17%
Physics and Astronomy 12 6%
Medicine and Dentistry 5 3%
Other 22 12%
Unknown 41 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 14 November 2012.
All research outputs
#20,172,971
of 22,685,926 outputs
Outputs from Frontiers in Neural Circuits
#1,026
of 1,209 outputs
Outputs of similar age
#221,211
of 244,123 outputs
Outputs of similar age from Frontiers in Neural Circuits
#44
of 73 outputs
Altmetric has tracked 22,685,926 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,209 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 244,123 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 73 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.