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Unraveling Hydra bioelectrical activity on multielectrode array.

Martina Blasio1, Claudia Zenna1, Daniela Intartaglia1

  • 1Istituto di Scienze Applicate e Sistemi Intelligenti, Consiglio Nazionale delle Ricerche, Pozzuoli, Italy.

Frontiers in Bioengineering and Biotechnology
|February 27, 2026
PubMed
Summary
This summary is machine-generated.

This study demonstrates recording whole-organism bioelectrical activity from Hydra vulgaris using multielectrode arrays (MEAs). A custom algorithm aids analysis, highlighting Hydra

Keywords:
Hydra vulgarisbehavioral patternextracellular signalsmultielectrode array (MEA)signal processing

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Area of Science:

  • Bioelectronics
  • Neuroscience
  • Developmental Biology

Background:

  • Multielectrode array (MEA) technology enables extracellular recording of electrical activity in various biological models.
  • Current MEA limitations include whole-organism recording adaptation, stable tissue-electrode interfaces, and signal decoding.
  • Accessibility for neuroscientists and neurobiologists remains a challenge.

Purpose of the Study:

  • To demonstrate the feasibility of recording bioelectrical activity from a whole millimeter-sized organism (Hydra vulgaris) using MEA technology.
  • To introduce a custom MATLAB-based algorithm for analyzing extracellular signals from small animal models.
  • To explore the potential of Hydra as a model in bioelectronics.

Main Methods:

  • Utilized a commercially available multielectrode recording system for bioelectrical recordings from Hydra vulgaris.
  • Developed and applied a custom MATLAB-based algorithm for comprehensive analysis of extracellular signals.
  • Evaluated two distinct recording configurations with varying tissue-electrode coupling.

Main Results:

  • Successfully recorded bioelectrical activity from the whole organism Hydra vulgaris.
  • Observed variations in bioelectrical patterns based on different recording configurations and tissue-electrode coupling.
  • Demonstrated the effectiveness of the custom MATLAB algorithm in analyzing small animal model signals.

Conclusions:

  • The study confirms the feasibility of using MEAs for whole-organism bioelectrical recordings in Hydra.
  • Findings underscore the critical role of device architecture in bioelectrical signal acquisition.
  • Hydra presents a promising model for advancing bioelectronic devices and studying neuronal circuits.