Evidence map›Paper›PMID 41592533›Full record

ArticleCell reports methods2026

Investigation of synaptic connectivity in functional in vitro neuronal assemblies.

Clara Zaccaria, Asiye Malkoç, Ilya Auslender, Yasaman Heydari, Marco Canossa, Beatrice Vignoli, Lorenzo Pavesi

Abstract read
In one paragraph

Article in Cell reports methods, 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
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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

7 authors.

Clara ZaccariaDepartment of Physics, University of Trento, Povo 38123 TN, Italy.
Asiye MalkoçDepartment of Physics, University of Trento, Povo 38123 TN, Italy; Department of Cellular Computational and Integrative Biology (CIBIO), University of Trento, Povo 38123 TN, Italy.
Ilya AuslenderDepartment of Physics, University of Trento, Povo 38123 TN, Italy.
Yasaman HeydariDepartment of Physics, University of Trento, Povo 38123 TN, Italy; Center for Mind/Brain Sciences (CIMeC), University of Trento, Rovereto 38068 TN, Italy.
Marco CanossaDepartment of Cellular Computational and Integrative Biology (CIBIO), University of Trento, Povo 38123 TN, Italy.
Beatrice VignoliDepartment of Physics, University of Trento, Povo 38123 TN, Italy; Department of Cellular Computational and Integrative Biology (CIBIO), University of Trento, Povo 38123 TN, Italy. Electronic address: beatrice.vignoli@cnr.it.
Lorenzo PavesiDepartment of Physics, University of Trento, Povo 38123 TN, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Studies using genetic tagging and optogenetics demonstrated that reactivation of memory engrams, neuronal ensembles encoding specific learned information, can trigger memory recall and that synaptic potentiation among engram neurons is critical for memory persistence. However, the complexity of intact brain networks has limited mechanistic access to the processes underlying engram formation. Here, we introduce a hybrid in vitro platform that recapitulates, in a simplified and controllable setting, the core principles used in vivo to activate engrams. By combining digital light processing (DLP) with optogenetics, we imposed Hebbian co-activation of two targeted neurons, inducing the emergence of a functional cell assembly module. This artificial co-firing produced synaptic strengthening and spatial clustering of potentiated spines along the dendrites connecting the co-activated neurons, hallmarks of engram connectivity. Our system provides a reductionist yet biologically relevant framework to dissect, with high spatial and temporal resolution, the cellular and molecular determinants of cell assembly formation.

Indexed as

NeuronsSynapsesAnimalsNeuronal PlasticityOptogeneticsCP: neurosciencedigital light processingDLPfunctional neuronal ensemblesmemory engramsoptogeneticssynaptic plasticity

Identifiers

PMID41592533
PMCPMC12853180

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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.