Evidence map›Paper›PMID 39516303›Full record

ArticleNature biomedical engineering2025

A stealthy neural recorder for the study of behaviour in primates.

Saehyuck Oh, Janghwan Jekal, Jinyoung Won, Kyung Seob Lim, Chang-Yeop Jeon, Junghyung Park, Hyeon-Gu Yeo, Yu Gyeong Kim, Young Hee Lee, Leslie Jaesun Ha and 21 more

Abstract read
In one paragraph

Article in Nature biomedical engineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Full-Stack Architectures for Intelligent Brain-Computer Interfaces.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  4. Article
  5. Article
  6. Primate neuroethology: a new synthesis.Trends in cognitive sciences · 2026
    Review
  7. Article
  8. Ionic-Bionic Interfaces: Advancing Iontronic Strategies for Bioelectronic Sensing and Therapy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  9. Review
  10. Review
  11. Review
  12. Review
  13. Article
  14. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

31 authors.

Saehyuck Oh *Department of Robotics and Mechatronics Engineering, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu, Republic of Korea.
Janghwan Jekal *Department of Robotics and Mechatronics Engineering, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu, Republic of Korea.ORCID http://orcid.org/0009-0001-9590-2853
Jinyoung Won *National Primate Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Cheongju, Republic of Korea.ORCID http://orcid.org/0000-0001-5112-6736
Kyung Seob LimFuturistic Animal Resource and Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Cheongju, Republic of Korea.
Chang-Yeop JeonNational Primate Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Cheongju, Republic of Korea.ORCID http://orcid.org/0000-0002-8229-7068
Junghyung ParkNational Primate Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Cheongju, Republic of Korea.
Hyeon-Gu YeoNational Primate Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Cheongju, Republic of Korea.
Yu Gyeong KimNational Primate Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Cheongju, Republic of Korea.
Young Hee LeeDepartment of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Republic of Korea.
Leslie Jaesun HaDepartment of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0001-8559-5434
Han Hee JungDepartment of Robotics and Mechatronics Engineering, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu, Republic of Korea.
Junwoo YeaDepartment of Robotics and Mechatronics Engineering, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu, Republic of Korea.ORCID http://orcid.org/0009-0000-3104-6018
Hyeokjun LeeDepartment of Robotics and Mechatronics Engineering, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu, Republic of Korea.
Jeongdae HaDepartment of Robotics and Mechatronics Engineering, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu, Republic of Korea.
Jinmo KimBrain Engineering Convergence Research Center, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu, Republic of Korea.ORCID http://orcid.org/0000-0001-9766-5874
Doyoung LeeBrain Engineering Convergence Research Center, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu, Republic of Korea.ORCID http://orcid.org/0000-0001-9950-0512
Soojeong SongDepartment of Robotics and Mechatronics Engineering, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu, Republic of Korea.
Jieun SonDepartment of Robotics and Mechatronics Engineering, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu, Republic of Korea.
Tae Sang YuDepartment of Robotics and Mechatronics Engineering, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu, Republic of Korea.
Jungmin LeeHertie Institute for Clinical Brain Research, International Max Planck Research School and University of Tuebingen, Tuebingen, Germany.
Sanghoon LeeDepartment of Robotics and Mechatronics Engineering, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu, Republic of Korea.ORCID http://orcid.org/0000-0001-8989-6939
Jaehong LeeDepartment of Robotics and Mechatronics Engineering, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu, Republic of Korea.ORCID http://orcid.org/0000-0002-8779-5293
Bong Hoon KimDepartment of Robotics and Mechatronics Engineering, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu, Republic of Korea.ORCID http://orcid.org/0000-0002-4610-0176
Ji-Woong ChoiBrain Engineering Convergence Research Center, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu, Republic of Korea.ORCID http://orcid.org/0000-0001-9109-3860
Jong-Cheol RahDepartment of Brain Sciences, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu, Republic of Korea.ORCID http://orcid.org/0000-0003-3780-0522
Young Min SongSchool of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology (GIST), Gwangju, Republic of Korea.
Jae-Woong JeongSchool of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.ORCID http://orcid.org/0000-0001-7607-5453
Hyung Jin ChoiDepartment of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Republic of Korea.
Sheng XuDepartment of Nanoengineering, University of California San Diego, La Jolla, CA, USA.ORCID http://orcid.org/0000-0002-3120-4992
Youngjeon LeeNational Primate Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Cheongju, Republic of Korea. neurosci@kribb.re.kr.ORCID http://orcid.org/0000-0002-5387-3441
Kyung-In JangDepartment of Robotics and Mechatronics Engineering, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu, Republic of Korea. kijang@dgist.ac.kr.ORCID http://orcid.org/0000-0002-4664-5029

Funding

Korea Research Institute of Bioscience and Biotechnology (KRIBB) KGM4562431National Research Council of Science and Technology (National Research Council of Science & Technology) CPS21101-100
6 · The paper itself

Abstract

By monitoring brain neural signals, neural recorders allow for the study of neurological mechanisms underlying specific behavioural and cognitive states. However, the large brain volumes of non-human primates and their extensive range of uncontrolled movements and inherent wildness make it difficult to carry out covert and long-term recording and analysis of deep-brain neural signals. Here we report the development and performance of a stealthy neural recorder for the study of naturalistic behaviours in non-human primates. The neural recorder includes a fully implantable wireless and battery-free module for the recording of local field potentials and accelerometry data in real time, a flexible 32-electrode neural probe with a resorbable insertion shuttle, and a repeater coil-based wireless-power-transfer system operating at the body scale. We used the device to record neurobehavioural data for over 1 month in a freely moving monkey and leveraged the recorded data to train an artificial intelligence model for the classification of the animals' eating behaviours.

Indexed as

Behavior, AnimalBrainAccelerometryAnimalsArtificial IntelligenceElectrodes, ImplantedMacaca mulattaMalePrimatesWireless Technology

Identifiers

PMID39516303
PMCPMC12176640

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.