Evidence map›Paper›PMID 40906696›Full record

ArticlePloS one2025

Enhanced electrophysiological recordings in acute brain slices, spheroids, and organoids using 3D high-density multielectrode arrays.

Lisa Mapelli, Danila Di Domenico, Giacomo Sciacca, Francesco Mainardi, Alessandra Ottaviani, Anita Monteverdi, Mariateresa Tedesco, Chiara Rosa Battaglia, Simona Tritto, Mauro Gandolfo and 11 more

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

21 authors.

Lisa MapelliDepartment of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.ORCID https://orcid.org/0000-0002-5048-0458
Danila Di DomenicoDepartment of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.
Giacomo SciaccaDiscovery Lab, 3Brain AG, Pfäffikon, Switzerland.
Francesco MainardiDepartment of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.
Alessandra OttavianiDepartment of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.
Anita MonteverdiDigital Neuroscience Center, IRCCS Mondino Foundation, Pavia, Italy.
Mariateresa TedescoDiscovery Lab, 3Brain AG, Pfäffikon, Switzerland.
Chiara Rosa BattagliaDiscovery Lab, 3Brain AG, Pfäffikon, Switzerland.
Simona TrittoDepartment of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.
Mauro GandolfoDiscovery Lab, 3Brain AG, Pfäffikon, Switzerland.
Kilian ImfeldDiscovery Lab, 3Brain AG, Pfäffikon, Switzerland.
Stefanie KiderlenContract Imaging Service, Prospective Instruments LK GmbH Co KG, Dornbirn, Austria.
Lukas KrainerContract Imaging Service, Prospective Instruments LK GmbH Co KG, Dornbirn, Austria.
Chiara CervettoDepartment of Pharmacology (DIFAR), University of Genoa, Genoa, Italy.
Manuela MarcoliDepartment of Pharmacology (DIFAR), University of Genoa, Genoa, Italy.
Anson SingDepartment of Human Genetics, Emory Brain Organoid Hub, Atlanta, Georgia, United States of America.
Jimena AndersenDepartment of Human Genetics, Emory Brain Organoid Hub, Atlanta, Georgia, United States of America.
Fikri BireyDepartment of Human Genetics, Emory Brain Organoid Hub, Atlanta, Georgia, United States of America.
Steven A SloanDepartment of Human Genetics, Emory Brain Organoid Hub, Atlanta, Georgia, United States of America.
Alessandro MaccioneDiscovery Lab, 3Brain AG, Pfäffikon, Switzerland.ORCID https://orcid.org/0000-0002-5044-9899
Egidio D'AngeloDepartment of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

BrainElectrophysiological PhenomenaOrganoidsSpheroids, CellularAnimalsMice

Identifiers

PMID40906696
PMCPMC12410755

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.