Analysis of spontaneous calcium signals to infer functional connectivity within a novel 'living electrode' neural construct

Andy Ho Wing Chan, Anjali Dhobale, Oladayo Adewole, Toma Marinov, Reuben H. Kraft, D. Kacy Cullen, Mijail Serruya

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

Abstract

Micro-Tissue Engineered Neural Networks (uTENNs) are novel, living, neural constructs, designed to be implanted into the central nervous system (CNS) to treat neurological disease and injury. Each uTENN is a implantable self-assembly of seeded neurons in three dimensional, micro-column hydrogel scaffolds. uTENNs can be a new strategy to facilitate nervous system repair. With an externalized pole positioned under optoelectronic arrays at the cortical surface, the uTENN functions as a 'living electrode' with its neurons forming synapses in the surrounding host brain to modulate activity.

Original languageEnglish (US)
Title of host publication2016 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2016 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509067138
DOIs
StatePublished - Feb 7 2017
Event2016 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2016 - Philadelphia, United States
Duration: Dec 3 2016 → …

Publication series

Name2016 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2016 - Proceedings

Other

Other2016 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2016
CountryUnited States
CityPhiladelphia
Period12/3/16 → …

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Biomedical Engineering

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    Chan, A. H. W., Dhobale, A., Adewole, O., Marinov, T., Kraft, R. H., Cullen, D. K., & Serruya, M. (2017). Analysis of spontaneous calcium signals to infer functional connectivity within a novel 'living electrode' neural construct. In 2016 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2016 - Proceedings [7846870] (2016 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2016 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SPMB.2016.7846870