A new cross-correlation algorithm for the analysis of " in vitro" neuronal network activity aimed at pharmacological studies

E. Biffi, A. Menegon, G. Regalia, S. Maida, G. Ferrigno, A. Pedrocchi

Research output: Contribution to journalArticle

Abstract

Modern drug discovery for Central Nervous System pathologies has recently focused its attention to in vitro neuronal networks as models for the study of neuronal activities. Micro Electrode Arrays (MEAs), a widely recognized tool for pharmacological investigations, enable the simultaneous study of the spiking activity of discrete regions of a neuronal culture, providing an insight into the dynamics of networks. Taking advantage of MEAs features and making the most of the cross-correlation analysis to assess internal parameters of a neuronal system, we provide an efficient method for the evaluation of comprehensive neuronal network activity. We developed an intra network burst correlation algorithm, we evaluated its sensitivity and we explored its potential use in pharmacological studies. Our results demonstrate the high sensitivity of this algorithm and the efficacy of this methodology in pharmacological dose-response studies, with the advantage of analyzing the effect of drugs on the comprehensive correlative properties of integrated neuronal networks.

Original languageEnglish
Pages (from-to)321-327
Number of pages7
JournalJournal of Neuroscience Methods
Volume199
Issue number2
DOIs
Publication statusPublished - Aug 15 2011

Keywords

  • Bicuculline
  • Cross-correlation
  • GABA
  • Micro Electrode Arrays
  • Network bursts
  • Pharmacological studies

ASJC Scopus subject areas

  • Neuroscience(all)

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