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Updated: Feb 3, 2026

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology

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Published on: March 8, 2024

Protocolo para redes neuronales in vitro personalizadas en matrices de microelectrodos de alta densidad con

Anna-Christina Haeb¹, Hideaki Yamamoto², Paul Roach³

¹Department of Biomedical Sciences, Faculty of Medicine and Health Sciences, Institute of Neurosciences, University of Barcelona, 08036 Barcelona, Spain; Department of Condensed Matter Physics, Faculty of Physics, University of Barcelona, 08028 Barcelona, Spain; Universitat de Barcelona Institute of Complex Systems (UBICS), 08028 Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), 08036 Barcelona, Spain.

|February 1, 2026

Resumen

Este estudio presenta un nuevo protocolo para la integración de microestructuras de polidimetilsiloxano (PDMS) con matrices de microelectrodos de alta densidad (HD-MEAs) basadas en óxido de metal complementario (CMOS). Este método permite la formación controlada de redes neuronales para interfaces cerebro-computadora avanzadas.

Área de la Ciencia:

Neurociencia
Bioingeniería
Ciencia de Materiales

Sus antecedentes:

Las matrices de microelectrodos de alta densidad (HD-MEAs) basadas en óxido de metal complementario (CMOS) ofrecen alta resolución espaciotemporal para grabaciones neuronales.
La integración de microestructuras de polidimetilsiloxano (PDMS) en HD-MEAs para controlar la arquitectura de la red neuronal es actualmente un desafío y específico de la plataforma.

Objetivo del estudio:

Presentar un protocolo versátil y reproducible para la fabricación e integración de microestructuras de PDMS con HD-MEAs.
Permitir la ingeniería de arquitecturas neuronales definidas compatibles con varios sistemas HD-MEA.

Principales métodos:

El protocolo detalla la fabricación de PDMS, la preparación del chip HD-MEA y la alineación de la microestructura PDMS-HD-MEA.
Incluye procedimientos de cultivo celular y ofrece métodos alternativos para mayor flexibilidad.

Principales resultados:

Se logró la formación reproducible de redes neuronales modulares.
Se observaron patrones de actividad de red característicos en diferentes sistemas experimentales.
El protocolo demostró compatibilidad con varias plataformas HD-MEA.

Conclusiones:

El protocolo presentado simplifica la integración de microestructuras de PDMS con HD-MEAs.
Este enfoque facilita la ingeniería de arquitecturas neuronales controladas para la investigación avanzada en neurociencia.
El método apoya el desarrollo de interfaces cerebro-computadora de próxima generación.

Palabras clave:

biofísica biotecnología y bioingeniería ciencias de materiales neurociencia

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