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ORIGINAL RESEARCH article

Front. Neurosci.
Sec. Neuroprosthetics
Volume 19 - 2025 | doi: 10.3389/fnins.2025.1491844
This article is part of the Research Topic Advanced Technologies in Wireless Neural Interfaces: From Animal Models to Human Applications View all articles

Compact and low-power wireless headstage for electrocorticography recording of freely moving primates in a home cage

Provisionally accepted
Taro Kaiju Taro Kaiju 1,2*Masato Inoue Masato Inoue 1,2Masayuki Hirata Masayuki Hirata 3Takafumi Suzuki Takafumi Suzuki 1,2
  • 1 Center for Information and Neural Networks (CiNet), Osaka, Osaka, Japan
  • 2 National Institute of Information and Communications Technology (Japan), Koganei, Japan
  • 3 Osaka University, Suita, Ōsaka, Japan

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

    Objective: Wireless electrocorticography (ECoG) recording from unrestrained nonhuman primates during behavioral tasks is a potent method for investigating higher-order brain functions over extended periods. However, conventional wireless neural recording devices are not optimized for ECoG recording, and few devices have been tested on freely moving primates engaged in behavioral tasks within their home cages. Methods: We developed a compact, low-power, 32-channel wireless ECoG headstage specifically designed for neuroscience research. To evaluate its efficacy, we established a behavioral task setup within a home cage environment. Results: The developed headstage weighed merely 1.8 g and had compact dimensions of 25 × 16 × 4 mm3. It was efficiently powered by a 100-mAh battery (weighing 3 g), enabling continuous recording for 8.5 hours. The device successfully recorded data from an unrestrained monkey performing a center-out joystick task within its home cage. Conclusion: The device demonstrated excellent capability for recording ECoG data from freely moving primates in a home cage environment. Significance: This versatile device enhances task design freedom, decrease researchers’ workload, and enhances data collection efficiency.

    Keywords: electrocorticography, Electrophysiology, nonhuman primates, Wireless recording, brain-machine (computer) interface

    Received: 05 Sep 2024; Accepted: 29 Jan 2025.

    Copyright: © 2025 Kaiju, Inoue, Hirata 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: Taro Kaiju, Center for Information and Neural Networks (CiNet), Osaka, 565-0871, Osaka, Japan

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.