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ORIGINAL RESEARCH article

Front. Neurosci.

Sec. Neural Technology

Volume 19 - 2025 | doi: 10.3389/fnins.2025.1634582

Advanced neural activity mapping in brain organoids via field potential imaging with ultra-high-density CMOS microelectrodes

Provisionally accepted
  • Tohoku Institute of Technology, Sendai, Japan

The final, formatted version of the article will be published soon.

Human iPSC-derived brain organoids and assembloids have emerged as promising in vitro models for recapitulating human brain development, neurological disorders, and drug responses. However, detailed analysis of their electrophysiological properties requires advanced measurement techniques. Here, we present an analytical approach using ultra-high-density (UHD) CMOS microelectrode arrays (MEAs) with 236,880 electrodes across a 32.45 mm² sensing area, enabling large-scale field potential imaging (FPI) of brain organoids. Neuronal activity was recorded from over 46,000 electrodes, allowing single-cell spike detection and network connectivity analysis. In midbrain organoids, L-DOPA administration elicited both excitatory and inhibitory responses, with a dosedependent shift toward network enhancement. Leveraging the spatiotemporal resolution of the UHD-CMOS-MEA, we introduced two novel endpoints: propagation velocity and propagation area. In cortical organoids, picrotoxin increased propagation velocity, while MK-801 reduced propagation area. FPI also enabled frequency-domain analyses, revealing region-specific activity, including distinct gamma-band patterns. In midbrain-striatal assembloids, 4-aminopyridine enhanced interorganoid connectivity. This single-cell-resolved, large-scale recording approach using UHD-CMOS MEAs enables detailed analysis of network connectivity, propagation dynamics, and frequency features. It provides a powerful platform for studying brain organoids and assembloids, with strong potential for drug discovery and disease modeling in human neuroscience.

Keywords: UHD-CMOS-MEA 1, Brain organoid 2, Field potential imaging 3, Assembloid4, Single neuron5, Network connectivity analysis6, Propagation velocity7, Propagation area8

Received: 24 May 2025; Accepted: 24 Jul 2025.

Copyright: © 2025 Yokoi, Matsuda, Ishibashi and Suzuki. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Ikuro Suzuki, Tohoku Institute of Technology, Sendai, Japan

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