Advertisement

Neuronal Network Dynamics in 2D and 3D in vitro Neuroengineered Systems

  • Monica¬†Frega

Part of the Springer Theses book series (Springer Theses)

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Monica Frega
    Pages 1-5
  3. Scientific and Technical Background

    1. Front Matter
      Pages 7-7
    2. Monica Frega
      Pages 31-41
  4. A New In Vitro Model: 3D Neural Networks Coupled to MEA Devices

    1. Front Matter
      Pages 43-43
    2. Monica Frega
      Pages 45-57
    3. Monica Frega
      Pages 59-113
  5. Additional Applications with MEA Technology

    1. Front Matter
      Pages 115-115
    2. Monica Frega
      Pages 117-131
  6. Discussion and Conclusion

    1. Front Matter
      Pages 133-133
  7. Back Matter
    Pages 143-148

About this book

Introduction

The book presents a new, powerful model of neuronal networks, consisting of a three-dimensional neuronal culture in which 3D neuronal networks are coupled to micro-electrode-arrays (MEAs). It discusses the main advantages of the three-dimensional system compared to its two-dimensional counterpart, and shows that the network dynamics, recorded during both spontaneous and stimulated activity, differs between the two models, with the 3D system being better able to emulate the in vivo behaviour of neural networks. The book offers an extensive analysis of the system, from the theoretical background, to its design and applications in neuro-pharmacological studies. Moreover, it includes a concise yet comprehensive introduction to both 2D and 3D neuronal networks coupled to MEAs, and discusses the advantages, limitations and challenges of their applications as cellular and tissue-like in vitro experimental model systems.

 

 

 

Keywords

Neuronal Networks Coupled to MEAs 3D Hippocampal Neuronal Networks MEA for Network Electrophysiology Micro-beads Based Scaffold 2D vs 3D Neuronal Networks Homogenous Neuronal Networks Patterned Neuronal Networks Spontaneous Neural Activity Stimulus-evoked Neural Activity Bio-hybrid Microsystems

Authors and affiliations

  • Monica¬†Frega
    • 1
  1. 1.Dept of Inform, Bioengg,Robotic&Sys EnggUniversity of GenoaGenoaItaly

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-30237-9
  • Copyright Information Springer International Publishing Switzerland 2016
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-30236-2
  • Online ISBN 978-3-319-30237-9
  • Series Print ISSN 2190-5053
  • Series Online ISSN 2190-5061
  • Buy this book on publisher's site