IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v15y2024i1d10.1038_s41467-023-43727-9.html
   My bibliography  Save this article

Flexible, scalable, high channel count stereo-electrode for recording in the human brain

Author

Listed:
  • Keundong Lee

    (University of California San Diego)

  • Angelique C. Paulk

    (Harvard Medical School
    Massachusetts General Hospital)

  • Yun Goo Ro

    (University of California San Diego)

  • Daniel R. Cleary

    (University of California San Diego
    University of California San Diego)

  • Karen J. Tonsfeldt

    (University of California San Diego
    University of California San Diego)

  • Yoav Kfir

    (Harvard Medical School
    Department of Neurosurgery, Massachusetts General Hospital)

  • John S. Pezaris

    (Harvard Medical School
    Department of Neurosurgery, Massachusetts General Hospital)

  • Youngbin Tchoe

    (University of California San Diego)

  • Jihwan Lee

    (University of California San Diego)

  • Andrew M. Bourhis

    (University of California San Diego)

  • Ritwik Vatsyayan

    (University of California San Diego)

  • Joel R. Martin

    (University of California San Diego)

  • Samantha M. Russman

    (University of California San Diego)

  • Jimmy C. Yang

    (Harvard Medical School
    Department of Neurosurgery, Massachusetts General Hospital)

  • Amy Baohan

    (Harvard Medical School
    Department of Neurosurgery, Massachusetts General Hospital)

  • R. Mark Richardson

    (Harvard Medical School
    Department of Neurosurgery, Massachusetts General Hospital)

  • Ziv M. Williams

    (Harvard Medical School
    Department of Neurosurgery, Massachusetts General Hospital)

  • Shelley I. Fried

    (Harvard Medical School
    Department of Neurosurgery, Massachusetts General Hospital)

  • U. Hoi Sang

    (University of California San Diego)

  • Ahmed M. Raslan

    (Oregon Health and Science University)

  • Sharona Ben-Haim

    (University of California San Diego)

  • Eric Halgren

    (University of California San Diego)

  • Sydney S. Cash

    (Harvard Medical School
    Massachusetts General Hospital)

  • Shadi. A. Dayeh

    (University of California San Diego)

Abstract

Over the past decade, stereotactically placed electrodes have become the gold standard for deep brain recording and stimulation for a wide variety of neurological and psychiatric diseases. Current electrodes, however, are limited in their spatial resolution and ability to record from small populations of neurons, let alone individual neurons. Here, we report on an innovative, customizable, monolithically integrated human-grade flexible depth electrode capable of recording from up to 128 channels and able to record at a depth of 10 cm in brain tissue. This thin, stylet-guided depth electrode is capable of recording local field potentials and single unit neuronal activity (action potentials), validated across species. This device represents an advance in manufacturing and design approaches which extends the capabilities of a mainstay technology in clinical neurology.

Suggested Citation

  • Keundong Lee & Angelique C. Paulk & Yun Goo Ro & Daniel R. Cleary & Karen J. Tonsfeldt & Yoav Kfir & John S. Pezaris & Youngbin Tchoe & Jihwan Lee & Andrew M. Bourhis & Ritwik Vatsyayan & Joel R. Mart, 2024. "Flexible, scalable, high channel count stereo-electrode for recording in the human brain," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
    • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-023-43727-9
    DOI: 10.1038/s41467-023-43727-9
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-023-43727-9
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1038/s41467-023-43727-9?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Leigh R. Hochberg & Daniel Bacher & Beata Jarosiewicz & Nicolas Y. Masse & John D. Simeral & Joern Vogel & Sami Haddadin & Jie Liu & Sydney S. Cash & Patrick van der Smagt & John P. Donoghue, 2012. "Reach and grasp by people with tetraplegia using a neurally controlled robotic arm," Nature, Nature, vol. 485(7398), pages 372-375, May.
    2. James J. Jun & Nicholas A. Steinmetz & Joshua H. Siegle & Daniel J. Denman & Marius Bauza & Brian Barbarits & Albert K. Lee & Costas A. Anastassiou & Alexandru Andrei & Çağatay Aydın & Mladen Barbic &, 2017. "Fully integrated silicon probes for high-density recording of neural activity," Nature, Nature, vol. 551(7679), pages 232-236, November.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Spencer Ward & Conor Riley & Erin M. Carey & Jenny Nguyen & Sadik Esener & Axel Nimmerjahn & Donald J. Sirbuly, 2022. "Electro-optical mechanically flexible coaxial microprobes for minimally invasive interfacing with intrinsic neural circuits," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    2. Liang Zou & Huihui Tian & Shouliang Guan & Jianfei Ding & Lei Gao & Jinfen Wang & Ying Fang, 2021. "Self-assembled multifunctional neural probes for precise integration of optogenetics and electrophysiology," Nature Communications, Nature, vol. 12(1), pages 1-9, December.
    3. Andrey Eliseyev & Tetiana Aksenova, 2016. "Penalized Multi-Way Partial Least Squares for Smooth Trajectory Decoding from Electrocorticographic (ECoG) Recording," PLOS ONE, Public Library of Science, vol. 11(5), pages 1-19, May.
    4. Ujwal Chaudhary & Bin Xia & Stefano Silvoni & Leonardo G Cohen & Niels Birbaumer, 2017. "Brain–Computer Interface–Based Communication in the Completely Locked-In State," PLOS Biology, Public Library of Science, vol. 15(1), pages 1-25, January.
    5. Edward A. B. Horrocks & Fabio R. Rodrigues & Aman B. Saleem, 2024. "Flexible neural population dynamics govern the speed and stability of sensory encoding in mouse visual cortex," Nature Communications, Nature, vol. 15(1), pages 1-23, December.
    6. Baoguo Xu & Wenlong Li & Deping Liu & Kun Zhang & Minmin Miao & Guozheng Xu & Aiguo Song, 2022. "Continuous Hybrid BCI Control for Robotic Arm Using Noninvasive Electroencephalogram, Computer Vision, and Eye Tracking," Mathematics, MDPI, vol. 10(4), pages 1-20, February.
    7. Jérémie Sibille & Carolin Gehr & Jonathan I. Benichov & Hymavathy Balasubramanian & Kai Lun Teh & Tatiana Lupashina & Daniela Vallentin & Jens Kremkow, 2022. "High-density electrode recordings reveal strong and specific connections between retinal ganglion cells and midbrain neurons," Nature Communications, Nature, vol. 13(1), pages 1-18, December.
    8. Ilke Uguz & David Ohayon & Volkan Arslan & Rajendar Sheelamanthula & Sophie Griggs & Adel Hama & John William Stanton & Iain McCulloch & Sahika Inal & Kenneth L. Shepard, 2024. "Flexible switch matrix addressable electrode arrays with organic electrochemical transistor and pn diode technology," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
    9. Fan Li & Jazlyn Gallego & Natasha N. Tirko & Jenna Greaser & Derek Bashe & Rudra Patel & Eric Shaker & Grace E. Valkenburg & Alanoud S. Alsubhi & Steven Wellman & Vanshika Singh & Camila Garcia Padill, 2024. "Low-intensity pulsed ultrasound stimulation (LIPUS) modulates microglial activation following intracortical microelectrode implantation," Nature Communications, Nature, vol. 15(1), pages 1-21, December.
    10. Xiao-yu Sun & Bin Ye, 2023. "The functional differentiation of brain–computer interfaces (BCIs) and its ethical implications," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-9, December.
    11. Jung Min Lee & Young-Woo Pyo & Yeon Jun Kim & Jin Hee Hong & Yonghyeon Jo & Wonshik Choi & Dingchang Lin & Hong-Gyu Park, 2023. "The ultra-thin, minimally invasive surface electrode array NeuroWeb for probing neural activity," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
    12. David Balderas & Pedro Ponce & Diego Lopez-Bernal & Arturo Molina, 2021. "Education 4.0: Teaching the Basis of Motor Imagery Classification Algorithms for Brain-Computer Interfaces," Future Internet, MDPI, vol. 13(8), pages 1-27, August.
    13. Patrick Jendritza & Frederike J. Klein & Pascal Fries, 2023. "Multi-area recordings and optogenetics in the awake, behaving marmoset," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
    14. Eric A Pohlmeyer & Babak Mahmoudi & Shijia Geng & Noeline W Prins & Justin C Sanchez, 2014. "Using Reinforcement Learning to Provide Stable Brain-Machine Interface Control Despite Neural Input Reorganization," PLOS ONE, Public Library of Science, vol. 9(1), pages 1-12, January.
    15. Josh Merel & David Carlson & Liam Paninski & John P Cunningham, 2016. "Neuroprosthetic Decoder Training as Imitation Learning," PLOS Computational Biology, Public Library of Science, vol. 12(5), pages 1-24, May.
    16. Francis Kei Masuda & Emily A. Aery Jones & Yanjun Sun & Lisa M. Giocomo, 2023. "Ketamine evoked disruption of entorhinal and hippocampal spatial maps," Nature Communications, Nature, vol. 14(1), pages 1-19, December.
    17. Tal Sharf & Tjitse Molen & Stella M. K. Glasauer & Elmer Guzman & Alessio P. Buccino & Gabriel Luna & Zhuowei Cheng & Morgane Audouard & Kamalini G. Ranasinghe & Kiwamu Kudo & Srikantan S. Nagarajan &, 2022. "Functional neuronal circuitry and oscillatory dynamics in human brain organoids," Nature Communications, Nature, vol. 13(1), pages 1-20, December.
    18. Betz, Ulrich A.K. & Arora, Loukik & Assal, Reem A. & Azevedo, Hatylas & Baldwin, Jeremy & Becker, Michael S. & Bostock, Stefan & Cheng, Vinton & Egle, Tobias & Ferrari, Nicola & Schneider-Futschik, El, 2023. "Game changers in science and technology - now and beyond," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
    19. Andrés Úbeda & Enrique Hortal & Eduardo Iáñez & Carlos Perez-Vidal & Jose M Azorín, 2015. "Assessing Movement Factors in Upper Limb Kinematics Decoding from EEG Signals," PLOS ONE, Public Library of Science, vol. 10(5), pages 1-12, May.
    20. Fuji Ren & Yanwei Bao, 2020. "A Review on Human-Computer Interaction and Intelligent Robots," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 19(01), pages 5-47, February.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-023-43727-9. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.