3D Neuromodulation in Neural Organoids with Shell MEAs
Neural organoids (NOs) have emerged as important tissue engineering models for microphysiological systems, brain sciences, and biocomputing. Establishing reliable relationships between stimulation and recording traces of electrical activity is essential for monitoring the functionality of NOs, especially in paradigms such as neural plasticity, learning, or stimulus discrimination. While researchers have demonstrated neuromodulation in NOs, they have primarily used 2D microelectrode arrays (MEAs) with limited access to the entire 3D contour of the NOs. Here, we report neuromodulation using tiny mimics of macroscale EEG caps, or shell MEAs. Specifically, we observe that stimulating current within a specific range (20 to 30 µA) induced a statistically significant increase in neuron firing rate when comparing the activity 5 s before and after stimulation. We detect neuromodulatory behavior using both three- and 16-electrode shells and generated 3D spatiotemporal maps of neuromodulatory activity around the entire surface of the NO. Our studies demonstrate a methodology for investigating 3D spatiotemporal neuromodulation in organoids of broad relevance to biomedical engineering models of neural functionality, plasticity, and learning.
Authors
- Erik C. Johnson (ORCID: https://orcid.org/0000-0002-7397-8531)
- David H. Gracias (ORCID: https://orcid.org/0000-0003-2735-4725)
- Brian Caffo (ORCID: https://orcid.org/0000-0002-0793-9497)
- Hrishikesh Surlekar
- Babak Moghadas (ORCID: https://orcid.org/0000-0001-7329-5741)
- Lena Smirnova (ORCID: https://orcid.org/0000-0003-0171-3881)
- Chris Acha (ORCID: https://orcid.org/0000-0001-8032-2330)
- Pratyush Sai R. Rayasam
- Dowlette‐Mary M. Alam El Din
- Gandhali M. Mangalvedhekar
- Ziwei Ouyang
- Eva Loftus
- Derosh George
- Yu‐Chiao Lai
- Lauren C. Diaz
Institutions
- Johns Hopkins University (US)
- Johns Hopkins Medicine (US)
- Johns Hopkins University Applied Physics Laboratory (US)
Publication Details
- Journal
- Advanced Healthcare Materials
- Published
- 2026-01-07
- DOI
- https://doi.org/10.1002/adhm.202503773
- Primary Topic
- Neuroscience and Neural Engineering
- Type
- article
- Field-Weighted Citation Impact
- 0.00