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Emergence of a Small-World Functional Network in Cultured Neurons

Overview of attention for article published in PLoS Computational Biology, May 2012
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Title
Emergence of a Small-World Functional Network in Cultured Neurons
Published in
PLoS Computational Biology, May 2012
DOI 10.1371/journal.pcbi.1002522
Pubmed ID
Authors

Julia H. Downes, Mark W. Hammond, Dimitris Xydas, Matthew C. Spencer, Victor M. Becerra, Kevin Warwick, Ben J. Whalley, Slawomir J. Nasuto

Abstract

The functional networks of cultured neurons exhibit complex network properties similar to those found in vivo. Starting from random seeding, cultures undergo significant reorganization during the initial period in vitro, yet despite providing an ideal platform for observing developmental changes in neuronal connectivity, little is known about how a complex functional network evolves from isolated neurons. In the present study, evolution of functional connectivity was estimated from correlations of spontaneous activity. Network properties were quantified using complex measures from graph theory and used to compare cultures at different stages of development during the first 5 weeks in vitro. Networks obtained from young cultures (14 days in vitro) exhibited a random topology, which evolved to a small-world topology during maturation. The topology change was accompanied by an increased presence of highly connected areas (hubs) and network efficiency increased with age. The small-world topology balances integration of network areas with segregation of specialized processing units. The emergence of such network structure in cultured neurons, despite a lack of external input, points to complex intrinsic biological mechanisms. Moreover, the functional network of cultures at mature ages is efficient and highly suited to complex processing tasks.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 254 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 4 2%
Germany 3 1%
United States 3 1%
Switzerland 1 <1%
Finland 1 <1%
United Kingdom 1 <1%
Belarus 1 <1%
Netherlands 1 <1%
Korea, Republic of 1 <1%
Other 3 1%
Unknown 235 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 68 27%
Researcher 42 17%
Student > Master 34 13%
Student > Bachelor 15 6%
Professor 12 5%
Other 42 17%
Unknown 41 16%
Readers by discipline Count As %
Neuroscience 51 20%
Agricultural and Biological Sciences 50 20%
Engineering 38 15%
Physics and Astronomy 18 7%
Medicine and Dentistry 13 5%
Other 38 15%
Unknown 46 18%