Smart Dura: a functional artificial dura for multi-modal neural recording and modulation
A multi-modal neural interface capable of long-term recording and stimulation is essential for advancing brain monitoring and developing targeted therapeutics. Among traditional electrophysiological methods, micro-electrocorticography (μECoG) is appealing for chronic applications because it provides a good compromise between invasiveness and high-resolution neural recording. When combining μECoG with optical technologies, such as calcium imaging and optogenetics, this multi-modal approach enables simultaneous recording of neural activity from individual neurons and the ability to perform cell-specific manipulation. While previous efforts have focused on multi-modal interfaces for small animal models, scaling these technologies to larger primate brains remains challenging. In this paper, we present a multi-modal neural interface, named Smart Dura, a functional version of the commonly used artificial dura with integrated recording and stimulation electrodes for large cortical area coverage of the NHP brain. The Smart Dura is fabricated using a thin-film microfabrication process to monolithically integrate a micron-scale electrode array into a soft, flexible, and transparent substrate with high-density electrodes (up to 256 electrodes) while providing matched mechanical compliance with the native tissue and achieving high optical transparency (exceeding 98%). Our in vivo experiments demonstrate electrophysiological recording capabilities combined with neuromodulation, as well as optical transparency that enables structural and functional imaging. This work paves the way toward a chronic neural interface that can provide large-scale, bidirectional interfacing for multi-modal and closed-loop neuromodulation capabilities to study cortical brain activity in non-human primates, with the potential for translation to humans.
Authors
- Jasmine Zhou (ORCID: https://orcid.org/0000-0001-9063-9518)
- Karam Khateeb (ORCID: https://orcid.org/0000-0003-3005-2197)
- Ïbrahim Kimukin
- Zabir Ahmed
- Devon J. Griggs (ORCID: https://orcid.org/0000-0001-7059-7699)
- Maysamreza Chamanzar (ORCID: https://orcid.org/0000-0002-2083-7356)
- Gaku Hatanaka (ORCID: https://orcid.org/0000-0001-6724-8228)
- Azadeh Yazdan-Shahmorad (ORCID: https://orcid.org/0000-0001-5212-509X)
- Wyeth Bair (ORCID: https://orcid.org/0009-0008-4642-8447)
- Sergio Montalvo Vargo
- Noah Stanis
- Nari Hong
- Tiphaine Belloir
Institutions
- University of Washington (US)
- Primate Conservation (US)
- Carnegie Mellon University (US)
Publication Details
- Journal
- Microsystems & Nanoengineering
- Published
- 2026-02-27
- DOI
- https://doi.org/10.1038/s41378-026-01166-8
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Science Foundation
- American Heart Association
- Washington Research Foundation
- Carnegie Mellon University
- National Institutes of Health
- National Institute of Mental Health