Nature Communications (Jan 2024)
Flexible, scalable, high channel count stereo-electrode for recording in the human brain
- 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. Martin,
- Samantha M. Russman,
- Jimmy C. Yang,
- Amy Baohan,
- R. Mark Richardson,
- Ziv M. Williams,
- Shelley I. Fried,
- U. Hoi Sang,
- Ahmed M. Raslan,
- Sharona Ben-Haim,
- Eric Halgren,
- Sydney S. Cash,
- Shadi. A. Dayeh
Affiliations
- Keundong Lee
- Integrated Electronics and Biointerfaces Laboratory, Department of Electrical and Computer Engineering, University of California San Diego
- Angelique C. Paulk
- Department of Neurology, Harvard Medical School
- Yun Goo Ro
- Integrated Electronics and Biointerfaces Laboratory, Department of Electrical and Computer Engineering, University of California San Diego
- Daniel R. Cleary
- Integrated Electronics and Biointerfaces Laboratory, Department of Electrical and Computer Engineering, University of California San Diego
- Karen J. Tonsfeldt
- Integrated Electronics and Biointerfaces Laboratory, Department of Electrical and Computer Engineering, University of California San Diego
- Yoav Kfir
- Department of Neurosurgery, Harvard Medical School
- John S. Pezaris
- Department of Neurosurgery, Harvard Medical School
- Youngbin Tchoe
- Integrated Electronics and Biointerfaces Laboratory, Department of Electrical and Computer Engineering, University of California San Diego
- Jihwan Lee
- Integrated Electronics and Biointerfaces Laboratory, Department of Electrical and Computer Engineering, University of California San Diego
- Andrew M. Bourhis
- Integrated Electronics and Biointerfaces Laboratory, Department of Electrical and Computer Engineering, University of California San Diego
- Ritwik Vatsyayan
- Integrated Electronics and Biointerfaces Laboratory, Department of Electrical and Computer Engineering, University of California San Diego
- Joel R. Martin
- Integrated Electronics and Biointerfaces Laboratory, Department of Electrical and Computer Engineering, University of California San Diego
- Samantha M. Russman
- Integrated Electronics and Biointerfaces Laboratory, Department of Electrical and Computer Engineering, University of California San Diego
- Jimmy C. Yang
- Department of Neurosurgery, Harvard Medical School
- Amy Baohan
- Department of Neurosurgery, Harvard Medical School
- R. Mark Richardson
- Department of Neurosurgery, Harvard Medical School
- Ziv M. Williams
- Department of Neurosurgery, Harvard Medical School
- Shelley I. Fried
- Department of Neurosurgery, Harvard Medical School
- U. Hoi Sang
- Integrated Electronics and Biointerfaces Laboratory, Department of Electrical and Computer Engineering, University of California San Diego
- Ahmed M. Raslan
- Department of Neurological Surgery, Oregon Health and Science University
- Sharona Ben-Haim
- Department of Neurological Surgery, University of California San Diego
- Eric Halgren
- Department of Radiology, University of California San Diego
- Sydney S. Cash
- Department of Neurology, Harvard Medical School
- Shadi. A. Dayeh
- Integrated Electronics and Biointerfaces Laboratory, Department of Electrical and Computer Engineering, University of California San Diego
- DOI
- https://doi.org/10.1038/s41467-023-43727-9
- Journal volume & issue
-
Vol. 15,
no. 1
pp. 1 – 13
Abstract
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.
