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Neuron Structure

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Related Experiment Video

Updated: Jan 9, 2026

Synaptic Microcircuit Modeling with 3D Cocultures of Astrocytes and Neurons from Human Pluripotent Stem Cells

Synaptic Microcircuit Modeling with 3D Cocultures of Astrocytes and Neurons from Human Pluripotent Stem Cells

Published on: August 16, 2018

Functional Connectivity in Human-Derived Neurospheroids.

Giulia Parodi, Giorgia Zanini, Linda Collo

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|December 3, 2025

Summary

This summary is machine-generated.

This study introduces a 3D brain-on-a-chip model using human stem cells. The model reveals how neuronal inhibition impacts brain network connectivity and topology, offering insights into brain function.

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Area of Science:

Neuroscience
Stem Cell Biology
Bioengineering

Background:

Brain function relies on complex neuronal network interactions.
Understanding neural connectivity is crucial for neuroscience advancements.
Existing models often lack the dimensionality and heterogeneity of the human brain.

Purpose of the Study:

To develop a 3D brain-on-a-chip model that incorporates heterogeneity.
To investigate the functional connectivity of homogeneous and heterogeneous neuronal networks.
To explore the impact of neuronal inhibition on network topology.

Main Methods:

Utilized human-induced pluripotent stem cells (hiPSCs) to derive neuronal networks.
Constructed 3D neurospheroids, both homogeneous (excitatory neurons only) and heterogeneous (excitatory and inhibitory neurons).
Computed functional connectivity properties and network topology.

Main Results:

Both homogeneous and heterogeneous neurospheroids exhibited small-world network properties.
Neuronal inhibition significantly increased the number of connections in the cultures.
Heterogeneity and dimensionality were successfully incorporated into the brain-on-a-chip model.

Conclusions:

The developed brain-on-a-chip model effectively mimics key features of the living brain.
Neuronal inhibition plays a critical role in shaping neural network topology.
This model provides a foundation for studying connectivity-related neurological impairments.