Enhanced electrophysiological recordings in acute brain slices, spheroids, and organoids using 3D high-density multielectrode arrays
Recent advances in three-dimensional (3D) biological brain models in vitro and ex vivo are creating new opportunities to understand the complexity of neural networks but pose the technological challenge of obtaining high-throughput recordings of electrical activity from multiple sites in 3D at high spatiotemporal resolution. This cannot be achieved using planar multi-electrode arrays (MEAs), which contact just one side of the neural structure. Moreover, the specimen adhesion to planar MEAs limits fluid perfusion along with tissue viability and drug application. Here, the efficiency of the tissue-sensor interface provided by advanced 3D high-density (HD)-MEA technology was evaluated in acute brain slices, spheroids, and organoids obtained from different brain regions. The 3D HD-MEA microneedles reached the inner layers of samples without damaging network integrity and the microchannel network between microneedles improved tissue vitality and chemical compound diffusion. In acute cortico-hippocampal and cerebellar slices, signal recording and stimulation efficiency proved higher with the 3D HD-MEA than with a planar MEA improving the characterization of network activity and functional connectivity. The 3D HD-MEA also resolved the challenge of recording from brain spheroids as well as cortical and spinal organoids. Our results show that 3D HD-MEA technology represents a valuable tool to address the complex spatiotemporal organization of activity in brain microcircuits, making it possible to investigate 3D biological models.
Authors
- Lukas Krainer
- Steven A. Sloan (ORCID: https://orcid.org/0000-0001-7769-7684)
- Anson Sing
- Fikri Birey (ORCID: https://orcid.org/0000-0003-2632-2764)
- Jimena Andersen (ORCID: https://orcid.org/0000-0001-9320-6507)
- Alessandra Ottaviani (ORCID: https://orcid.org/0000-0002-8548-3907)
- Alessandro Maccione (ORCID: https://orcid.org/0000-0002-5044-9899)
- Manuela Marcoli (ORCID: https://orcid.org/0000-0003-3261-5264)
- Kilian Imfeld
- Giacomo Sciacca
- Egidio D’Angelo (ORCID: https://orcid.org/0000-0002-6007-7187)
- Federico Mainardi (ORCID: https://orcid.org/0000-0003-2075-4363)
- Stefanie Kiderlen (ORCID: https://orcid.org/0000-0002-6347-5607)
- Chiara Cervetto (ORCID: https://orcid.org/0000-0001-8290-3008)
- Simona Tritto (ORCID: https://orcid.org/0000-0001-6629-3553)
- Chiara Battaglia
- Lisa Mapelli (ORCID: https://orcid.org/0000-0002-5048-0458)
- Danila Di Domenico
- Anita Monteverdi (ORCID: https://orcid.org/0000-0003-0071-9325)
- Mariateresa Tedesco
- Mauro Gandolfo
Institutions
- National Instruments (Ireland) (IE)
- Emory University (US)
- University of Pavia (IT)
- Fondazione Istituto Neurologico Nazionale Casimiro Mondino (IT)
- Horizon Discovery Group (United States) (US)
- National Interuniversity Consortium of Materials Science and Technology (IT)
- University of Genoa (IT)
Publication Details
- Journal
- PLoS ONE
- Published
- 2025-09-04
- DOI
- https://doi.org/10.1371/journal.pone.0328903
- Citations
- 1
- Primary Topic
- Neuroscience and Neural Engineering
- Type
- article
- Field-Weighted Citation Impact
- 0.91
Funders
- Emory University
- European Commission
- Istituto Italiano di Tecnologia