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Project: Bioelectronic devices to measure astrocyte-neuron communication

Acronym: AstroneuroCircuit
Main Objective:
Currently available, in vitro, neurotechnologies to study the brain are essentially focused on neuron-neuron communication. However, the latest research in the
area has highlighted the importance of another class of brain cells, called astrocytes. Astrocytes are highly complex cells that can bi-directionally regulate the
information processing of synapses controlling and reconfiguring the flow of information in neuronal networks. According to recent findings, a single astrocyte
can control several thousands of synapses. This evidence has caused a paradigm shift in our understanding of brain activity. It is now accepted that neuron–
astrocyte interaction plays a critical role in the processing of information, computation, and memory. Dysfunctional interaction between neurons and astrocytes
leads to neurodegenerative disorders. A growing body of evidence also suggests that astrocyte-astrocyte connectivity and astrocyte-neuron connectivity has to
be considered together with the standard neuron–neuron connectivity to understand how the brain works.
Until now neuro-astrocyte communication has not been measured using extracellular devices because astrocytes are fundamentally different from neurons.
Action potentials fired by individual neurons are signals with duration of milliseconds traveling through the axon at speeds of meters per second. In contrast,
astrocytes are cooperative cells that synchronize their activity to generate calcium waves that propagate across the biological tissue at speed of just a few
microns per second. The timescales at which neurons and astrocytes work are impressively different; signals generated by astrocytes are typically one million
times slower than an action potential. This huge temporal difference imposes experimental requirements very different from the ones encountered in state-ofart
electrophysiological techniques to study neuronal communication. Microelectrode array technology known as MEAs, which is currently available to study
neuron-neuron communication is blind to extracellular signals generated by astrocytes. In addition, traditional patch-clamp methods are invasive, and optical
fluorometric methods use dyes and light sources which disturb the physiological functions and limit the observation to a few hours
In this view, the demand for electrical-based technologies that can target, and both selectively monitor, and control astrocytes is emerging as a challenge across
neuroscience, electrical engineering, and materials science. Novel technologies are urgently required to measure the ultra-low frequency and weak signals
generated by astrocytes.
Reference: 2022.06979.PTDC
Funding: FCT
Approval Date: 09-12-2022
Start Date: 01-02-2023
End Date: 01-07-2024
Team: Henrique Leonel Gomes, Maria do Carmo Raposo de Medeiros, Karamot Kehinde Biliaminu, Aliana Carvalho Vairinhos, Jorge Manuel Ferreira Morgado, Ana Maria de Matos Charas
Groups: Organic Electronics - Co, Organic Electronics – Lx
Partners: Instituto de Engenharia de Sistemas e Computadores para os Microsistemas e as Nanotecnologias, Centro de Ciências do Mar (CCMAR)
Local Coordinator: Henrique Leonel Gomes
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Links: https://www.it.pt/Members/Index/5749

Associated Publications
  • 3Papers in Conferences
  • H.L. Gomes, Inkjet-printed devices and circuits for ultra-low frequency applications, Brasilian MRS Meeting XXII B-MRS Meeting, Santos (São Paulo), Brazil, September, 2024 | BibTex
  • H.L. Gomes, Design of sensing devices using electrical double-layers and impedance spectroscopy, The 12th Conference on Broadband Dielectric Spectroscopy and its Applications BDS, Lisboa, Portugal, September, 2024,
    | Abstract
    | BibTex
  • H.L. Gomes, Ultra-low noise organic based devices to record bioelectrical signals in non-excitable cell populations: Applications in anticancer drug screening platforms, Innovations in Large Area Electronics Conference InnoLAE, Cambridge, United Kingdom, February, 2023 | BibTex