Evidence map›Paper›PMID 24976386›Full record

ArticleScientific reports2014

Network dynamics of 3D engineered neuronal cultures: a new experimental model for in-vitro electrophysiology.

Monica Frega, Mariateresa Tedesco, Paolo Massobrio, Mattia Pesce, Sergio Martinoia

Abstract read
In one paragraph

Article in Scientific reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers.

0numbers the graph read from it
0cells of the map it votes in
66citing 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

66 citing papers in PubMed.

  1. Three-dimensional microelectrode arrays forBiomedical engineering letters · 2026
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6 more citing papers are in PubMed but not listed here.

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

5 authors.

Monica Frega1] Neuroengineering and Bionanotechnology Lab (NBT), Department of Informatics, Bioengineering, Robotics and System Engineering (DIBRIS), University of Genova, Via All'Opera Pia 13, 16145 - Genova, Italy [2].
Mariateresa Tedesco1] Neuroengineering and Bionanotechnology Lab (NBT), Department of Informatics, Bioengineering, Robotics and System Engineering (DIBRIS), University of Genova, Via All'Opera Pia 13, 16145 - Genova, Italy [2].
Paolo MassobrioNeuroengineering and Bionanotechnology Lab (NBT), Department of Informatics, Bioengineering, Robotics and System Engineering (DIBRIS), University of Genova, Via All'Opera Pia 13, 16145 - Genova, Italy.
Mattia PesceDepartment of Neuroscience and Brain Technologies - Istituto Italiano di Tecnologia, via Morego, 30, 16163 Genova.
Sergio Martinoia1] Neuroengineering and Bionanotechnology Lab (NBT), Department of Informatics, Bioengineering, Robotics and System Engineering (DIBRIS), University of Genova, Via All'Opera Pia 13, 16145 - Genova, Italy [2] Department of Neuroscience and Brain Technologies - Istituto Italiano di Tecnologia, via Morego, 30, 16163 Genova.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the extensive use of in-vitro models for neuroscientific investigations and notwithstanding the growing field of network electrophysiology, all studies on cultured cells devoted to elucidate neurophysiological mechanisms and computational properties, are based on 2D neuronal networks. These networks are usually grown onto specific rigid substrates (also with embedded electrodes) and lack of most of the constituents of the in-vivo like environment: cell morphology, cell-to-cell interaction and neuritic outgrowth in all directions. Cells in a brain region develop in a 3D space and interact with a complex multi-cellular environment and extracellular matrix. Under this perspective, 3D networks coupled to micro-transducer arrays, represent a new and powerful in-vitro model capable of better emulating in-vivo physiology. In this work, we present a new experimental paradigm constituted by 3D hippocampal networks coupled to Micro-Electrode-Arrays (MEAs) and we show how the features of the recorded network dynamics differ from the corresponding 2D network model. Further development of the proposed 3D in-vitro model by adding embedded functionalized scaffolds might open new prospects for manipulating, stimulating and recording the neuronal activity to elucidate neurophysiological mechanisms and to design bio-hybrid microsystems.

Indexed as

MicroelectrodesModels, TheoreticalAction PotentialsAnimalsBrainCell CommunicationCell Culture TechniquesElectric StimulationElectrophysiologyEmbryo, MammalianHippocampusImaging, Three-DimensionalImmunoenzyme TechniquesMicroarray AnalysisNerve NetRats

Identifiers

PMID24976386
PMCPMC4074835

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.