Nosso grupo organiza mais de 3.000 Séries de conferências Eventos todos os anos nos EUA, Europa e outros países. Ásia com o apoio de mais 1.000 Sociedades e publica mais de 700 Acesso aberto Periódicos que contém mais de 50.000 personalidades eminentes, cientistas de renome como membros do conselho editorial.

Periódicos de acesso aberto ganhando mais leitores e citações
700 periódicos e 15 milhões de leitores Cada periódico está obtendo mais de 25.000 leitores

Indexado em
  • Índice Copérnico
  • Google Scholar
  • Sherpa Romeu
  • Abra o portão J
  • Genâmica JournalSeek
  • Chaves Acadêmicas
  • PesquisaBíblia
  • Infraestrutura Nacional de Conhecimento da China (CNKI)
  • Acesso à Pesquisa Online Global em Agricultura (AGORA)
  • Biblioteca de Periódicos Eletrônicos
  • RefSeek
  • Universidade Hamdard
  • EBSCO AZ
  • OCLC – WorldCat
  • Catálogo online SWB
  • Biblioteca Virtual de Biologia (vifabio)
  • Publons
  • Fundação de Genebra para Educação e Pesquisa Médica
  • Euro Pub
  • ICMJE
Compartilhe esta página

Abstrato

Engineered In Vitro Feed-Forward Networks

Anupama Natarajan1, Thomas B. DeMarse2, Peter Molnar3, and James J. Hickman1

Microelectrode arrays (MEAs) are a promising new method for high throughput neuronal assays. These arrays permit non-invasive, detailed optical and multichannel electrophysiological interrogation of functional neuronal networks for drug development or neurotoxicity assessment. There has also been an effort by a number of groups to develop in vitro analogues of in vivo brain circuitry or physiological systems to serve as well defined models of in vivo tissue. However, a key hurdle in these efforts has been the ability to define and constrain the directionality of  pathways within these systems. This issue is particularly relevant during the recreation of in vivo brain architectures that communicate through defined pathways, often with specific directionality. In this paper, we demonstrate a line/ gap topology that promotes the growth of axonal directionally between neurons that have been engineered into a living analogue of a feed-forward neural architecture. The effective connectivity of this architecture was estimated from neural activity measured by a multichannel microelectrode array and quantified using conditional Granger causality analysis. Plasticity was then induced to determine whether 1) LTP/LTD was supported in this novel architecture and 2) whether plasticity differed from random network controls. We show that this method promotes unidirectional feed-forward relative to opposing feedback pathways in spontaneously active networks. This study also represents the first attempt to use the Granger causality metric for the assessment of the activity of a biological neuronal network in which connectivity is highly defined.