Evidence map›Paper›PMID 42361121›Full record

ArticlePLoS computational biology2026

Quantitative anatomy and biophysical modeling of ascending neuromodulatory systems in the developing rat neocortex.

Cristina Colangelo, Alberto Muñoz, Alberto Antonietti, Vishal Sood, Alejandro Antón-Fernández, Joni Herttuainen, Armando Romani, Javier DeFelipe, Srikanth Ramaswamy

Abstract read
In one paragraph

Article in PLoS computational biology, 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

9 authors.

Cristina ColangeloBlue Brain Project, École polytechnique fédérale de Lausanne (EPFL), Campus Biotech, Geneva, Switzerland.
Alberto MuñozLaboratorio Cajal de Circuitos Corticales, CTBUniversidad Politécnica de Madrid, Spain.
Alberto AntoniettiBlue Brain Project, École polytechnique fédérale de Lausanne (EPFL), Campus Biotech, Geneva, Switzerland.ORCID https://orcid.org/0000-0003-0388-6321
Vishal SoodBlue Brain Project, École polytechnique fédérale de Lausanne (EPFL), Campus Biotech, Geneva, Switzerland.
Alejandro Antón-FernándezLaboratorio Cajal de Circuitos Corticales, CTBUniversidad Politécnica de Madrid, Spain.ORCID https://orcid.org/0000-0001-8029-4288
Joni HerttuainenBlue Brain Project, École polytechnique fédérale de Lausanne (EPFL), Campus Biotech, Geneva, Switzerland.
Armando RomaniBlue Brain Project, École polytechnique fédérale de Lausanne (EPFL), Campus Biotech, Geneva, Switzerland.ORCID https://orcid.org/0000-0001-6388-4286
Javier DeFelipeLaboratorio Cajal de Circuitos Corticales, CTBUniversidad Politécnica de Madrid, Spain.
Srikanth RamaswamyBlue Brain Project, École polytechnique fédérale de Lausanne (EPFL), Campus Biotech, Geneva, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The hindlimb representation in the somatosensory cortex of two-week old Wistar rats has been a valuable model system for dissecting the microcircuitry of neurons and their synaptic connections. In this study, we present a comprehensive experimental dataset quantifying the fiber length per cortical volume and the density of varicosities for cholinergic, catecholaminergic, and serotonergic neuromodulatory systems within the cortical neuropil using immunocytochemical staining and stereological techniques, along with a methodological framework for generating biophysically detailed computational models from these data. Acquired data were integrated into a biophysically detailed computational model of the somatosensory cortex to explore the anatomical organization and functional implications of neuromodulatory innervation. We found that neuromodulatory innervation, although sparse, substantially impacts network activity. Network simulations support the hypothesis that acetylcholine suppresses slow oscillations and promotes the desynchronization of cortical networks, consistent with the extensive findings in existing literature. Additionally, the temporal properties of acetylcholine modulation are consistent with synaptic rather than volume release. Furthermore, we found that the release of dopamine and serotonin in sensory cortices induces network desynchronization by inhibiting delta oscillations and that serotonin also initiates the emergence of theta oscillations, pointing to previously unexplored aspects of their function in governing cortical network activity. The experimental data and the biophysical computational model are available as an open-access community resource.

Indexed as

Models, NeurologicalNeocortexNeurotransmitter AgentsAcetylcholineAnimalsComputational BiologyComputer SimulationNerve NetNeuronsRatsRats, WistarSerotoninSomatosensory CortexAcetylcholineNeurotransmitter AgentsSerotonin

Identifiers

PMID42361121
PMCPMC13345462

What OpenQuestion holds

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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.