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3D Neuromodulation in Neural Organoids with Shell MEAs
Chris Acha1, Derosh George1, Lauren C Diaz2
1Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, Maryland, USA.
Advanced Healthcare Materials
|January 8, 2026
Summary
Researchers developed novel shell microelectrode arrays (MEAs) to study electrical activity in neural organoids (NOs). This new method maps 3D neuromodulation, advancing brain science and biocomputing applications.
Area of Science:
- Neuroscience
- Biomedical Engineering
- Tissue Engineering
Background:
- Neural organoids (NOs) are crucial models for studying brain function and developing biocomputing systems.
- Understanding electrical activity and neuromodulation in NOs is key for applications in neural plasticity and learning.
- Current 2D microelectrode arrays (MEAs) limit the assessment of neuromodulation across the entire 3D structure of NOs.
Purpose of the Study:
- To develop and demonstrate a novel method for investigating 3D spatiotemporal neuromodulation in neural organoids.
- To establish reliable relationships between electrical stimulation and recording traces in NOs.
- To create 3D maps of neuromodulatory activity on the entire surface of NOs.
Main Methods:
- Development of "shell MEAs" mimicking macroscale EEG caps for 3D coverage of NOs.
- Application of electrical stimulation within a specific current range (20-30 µA).
- Recording and analysis of neuron firing rates and generation of 3D spatiotemporal activity maps.
Main Results:
- A statistically significant increase in neuron firing rate was observed post-stimulation (20-30 µA).
- Neuromodulatory behavior was detected using both 3- and 16-electrode shell MEAs.
- 3D spatiotemporal maps effectively visualized neuromodulatory activity across the entire NO surface.
Conclusions:
- Shell MEAs provide a novel methodology for investigating 3D spatiotemporal neuromodulation in neural organoids.
- This technique enhances the study of neural functionality, plasticity, and learning in organoid models.
- The findings are broadly relevant to biomedical engineering and brain science research.

