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      Dissociated cortical networks show spontaneously correlated activity patterns during in vitro development.

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          Abstract

          In vitro cultured neuronal networks coupled to microelectrode arrays (MEAs) constitute a valuable experimental model for studying changes in the neuronal dynamics at different stages of development. After a few days in culture, neurons start to connect each other with functionally active synapses, forming a random network and displaying spontaneous electrophysiological activity. The patterns of collective rhythmic activity change in time spontaneously during in vitro development. Such activity-dependent modifications play a key role in the maturation of the network and reflect changes in the synaptic efficacy, fact widely recognized as a cellular basis of learning, memory and developmental plasticity. Getting advantage from the possibilities offered by the MEAs, the aim of our study is to analyze and characterize the natural changes in dynamics of the electrophysiological activity at different ages of the culture, identifying peculiar steps of the spontaneous evolution of the network. The main finding is that between the second and the third week of culture, the network completely changes its electrophysiological patterns, both in terms of spiking and bursting activity and in terms of cross-correlation between pairs of active channels. Then the maturation process can be characterized by two main phases: modulation and shaping in the synaptic functional connectivity of the network (within the first and second week) and general moderate correlated activity, spread over the entire network, with connections properly formed and stabilized (within the fourth and fifth week).

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          Author and article information

          Journal
          Brain Res
          Brain research
          Elsevier BV
          0006-8993
          0006-8993
          Jun 06 2006
          : 1093
          : 1
          Affiliations
          [1 ] Neuroengineering and Bio-nano Technology-NBT Group, Department of Biophysical and Electronic Engineering-DIBE, University of Genova, Via Opera Pia 11A, 16145, Genova, Italy. michela@dibe.unige.it
          Article
          S0006-8993(06)00801-8
          10.1016/j.brainres.2006.03.049
          16712817
          185de898-fa02-4f54-b94a-4a5c5d8bc044
          History

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