Evidence map›Paper›PMID 42305135›Full record

ArticleBio-protocol2026

Measuring Electrophysiological Activity in Acute Brain Slices, Spheroids, and Organoids Using 3D High-Density Multielectrode Arrays.

Eleonora Pali, Giorgia Pellavio, Maria Conforti, Arvin A Sarkissian, Berna Aliya, Giacomo Sciacca, Supriya S Wariyar, Francesco Mainardi, Mariateresa Tedesco, Ivan Verduci and 7 more

Abstract read
In one paragraph

Article in Bio-protocol, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

17 authors.

Eleonora PaliDepartment of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.
Giorgia PellavioDepartment of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.
Maria ConfortiDepartment of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.
Arvin A SarkissianDepartment of Human Genetics, Emory University School of Medicine, Atlanta, GA, USA.
Berna AliyaDepartment of Human Genetics, Emory University School of Medicine, Atlanta, GA, USA.
Giacomo Sciacca3Brain AG, Pfäffikon, Switzerland.
Supriya S WariyarDepartment of Human Genetics, Emory University School of Medicine, Atlanta, GA, USA.
Francesco Mainardi3Brain AG, Pfäffikon, Switzerland.
Mariateresa Tedesco3Brain AG, Pfäffikon, Switzerland.
Ivan Verduci3Brain AG, Pfäffikon, Switzerland.
Gendenver Cadiao3Brain AG, Pfäffikon, Switzerland.
Chiara CervettoDepartment of Pharmacology (DIFAR), University of Genoa, Genoa, Italy.
Jimena AndersenDepartment of Human Genetics, Emory University School of Medicine, Atlanta, GA, USA.
Fikri BireyDepartment of Human Genetics, Emory University School of Medicine, Atlanta, GA, USA.
Alessandro Maccione3Brain AG, Pfäffikon, Switzerland.
Egidio D'AngeloDepartment of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.
Lisa MapelliDepartment of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.

Funding

Molecular and Functional Mechanisms Underlying Cortical Activity in CACNA1A EpilepsyF31NS139599 · NINDS · EMORY UNIVERSITY · PI Arvin Abramovich Sarkissian · 2025 to 2026
$100k
NINDS NIH HHS F31 NS139599
6 · The paper itself

Abstract

Animal and human stem cell-derived three-dimensional models to study physio-pathological brain functioning are becoming a gold standard for in vitro electrophysiology, as they enable the recapitulation of complex network properties by accounting for spatial architectural features that better reflect in vivo conditions than simpler 2D models. Standard planar multielectrode arrays (MEAs), typically providing tens of recording electrodes, are commonly used to record activity from 2D neuronal cultures. However, when adapted for use with 3D models, planar 2D MEAs showed limited effectiveness. The main issues are limited specimen adhesion to the chip, a low number of sensing elements, inability to retrieve signals from within the tissue, and reduced perfusion and vitality of the tissue in contact with sensors. To overcome these limitations, a new generation of microchip-based 3D high-density MEAs (3D HD-MEA) has been developed and validated in recent years. This technological advancement has improved the sensing capabilities and the vitality of 3D models, providing a tool tailored to maximize their potential. Here, we present an optimized protocol for neural network activity recordings in 3D models (including acute slices, brain spheroids, and organoids) from various brain regions using 3D HD-MEAs. First, we summarize the critical steps for 1) obtaining viable acute slices from the mouse cerebellum, cortico-hippocampal circuit, and prefrontal cortex, 2) establishing efficient coupling of the slices with the chip, and 3) performing recordings and analyses. We then describe the main procedures required to obtain human and animal brain spheroids and neural organoids, as well as standardized routines to perform effective recordings and analyses. For each section, we highlight the crucial steps, identify tips for specific applications, and propose troubleshooting procedures. For example, the same type of preparation (e.g., acute slices) requires different adjustments when working with different brain areas. The specific information provided here is intended to assist researchers in their daily efforts to obtain efficient and reproducible functional recordings from 3D models by using the cutting-edge technique of 3D HD-MEA. Key features • Comprehensive all-in-one guide covering the complete workflow for acquiring electrophysiological data from brain slices, neural region-specific organoids, and brain spheroids. • Intuitive, step-by-step protocol for brain slice preparation, enriched with practical tips and expert recommendations to ensure high-quality tissue viability. • Detailed instructions for optimal use of 3D HD-MEA technology, including proper handling of the sample holder for recordings from brain slices, neural organoids, and spheroids. • In-depth guidance on BrainWave6 software, providing clear procedures for data acquisition, signal detection, and advanced electrophysiological analysis across all sample types.

Indexed as

3D high-density multielectrode arrayAcute electrophysiological measurementsAcute slicesBrain spheroidsElectrophysiological data analysisElectrophysiological recordingsNeural organoids

Identifiers

PMID42305135
PMCPMC13266469

What OpenQuestion holds

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LicenceCC BY-NC
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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.