Automation of network burst analysis in the single neuron resolution based on calcium imaging

M. J. Jang, Y. Nam

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Network-wide synchronous firing ('network burst') is interesting as they are thought to be the unit of information processing in neural networks. The investigation of network bursts has been mainly carried out by microelectrode array technology. Recently, calcium imaging technique has been used to interrogate neural circuits in large-scale. Here we implemented an automated algorithm for network burst analysis based on calcium imaging techniques. In this algorithm, the detection of network bursts, the basic characterization of burst profiles, spatiotemporal mapping of intra-burst propagation, and consistency evaluation were included. As an exemplified application, we analyzed spontaneous network bursting activities of cultured neuronal networks to validate the feasibility of this algorithm and observed that the basic properties of burst profile and cellular pathways of intra-burst propagation could be changed with chemical treatment. This automated algorithm allows the investigation of network dynamics in relation to cellular activities and can further contribute to the large scale analysis of functional connectivity in real brain networks.

Original languageEnglish (US)
Title of host publication2013 6th International IEEE EMBS Conference on Neural Engineering, NER 2013
Pages565-568
Number of pages4
DOIs
StatePublished - 2013
Externally publishedYes
Event2013 6th International IEEE EMBS Conference on Neural Engineering, NER 2013 - San Diego, CA, United States
Duration: Nov 6 2013Nov 8 2013

Publication series

NameInternational IEEE/EMBS Conference on Neural Engineering, NER
ISSN (Print)1948-3546
ISSN (Electronic)1948-3554

Other

Other2013 6th International IEEE EMBS Conference on Neural Engineering, NER 2013
Country/TerritoryUnited States
CitySan Diego, CA
Period11/6/1311/8/13

ASJC Scopus subject areas

  • Artificial Intelligence
  • Mechanical Engineering

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