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

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.

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Publication Details

Journal
PLoS Computational Biology
Published
2026-06-26
DOI
https://doi.org/10.1371/journal.pcbi.1014460
Primary Topic
Neural dynamics and brain function
Type
article
Field-Weighted Citation Impact
0.00

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article

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

Alberto Múñoz, Alberto Antonietti, Srikanth Ramaswamy, Javier DeFelipe et al.
PLoS Computational Biology
Neural dynamics and brain function
article

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

Alberto Múñoz, Alberto Antonietti, Srikanth Ramaswamy, Javier DeFelipe, Armando Romani, Vishal Sood, Alejandro Antón‐Fernández, Joni Herttuainen, Cristina Colangelo
article en

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.

PLoS Computational BiologyVol. 22(6)
Universidad Complutense de Madrid (ES), Instituto Cajal (ES), Biomedical Research Networking Center on Neurodegenerative Diseases (ES), École Polytechnique Fédérale de Lausanne (CH), Newcastle University (GB), Universidad Politécnica de Madrid (ES), Politecnico di Milano (IT)
Fulbright Association, Ministerio de Ciencia, Innovación y Universidades, Academy of Medical Sciences, Newcastle University, Lister Institute of Preventive Medicine, International Brain Research Organization, École Polytechnique Fédérale de Lausanne, Okinawa Institute of Science and Technology Graduate University, Board of the Swiss Federal Institutes of Technology, U.S. Air Force, Agencia Estatal de Investigación, H2020 Marie Skłodowska-Curie Actions
Partnerships for the goals
Openalex Percentile: Top 6%
Neural dynamics and brain function
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