ArticleAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference2022
Demonstration of an Optimized Large-scale Optogenetic Cortical Interface for Non-human Primates.
Article in Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 17 citations in OpenAlex.
- Multimodal Optical Imaging and Modulation with Simultaneous Electrophysiology Through Smart Dura in Non-Human Primates.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Smart Dura: a functional artificial dura for multi-modal neural recording and modulation.Microsystems & nanoengineering · 2026Article
- A large-scale optogenetic neurophysiology platform for improving accessibility in non-human primate behavioral experiments.Nature communications · 2026Article
- A large-scale optogenetic neurophysiology platform for improving accessibility in non-human primate behavioral experiments.bioRxiv : the preprint server for biology · 2025Article
- Multimodal Optical Imaging and Modulation through Smart Dura in Non-Human Primates.bioRxiv : the preprint server for biology · 2025Article
- Smart Dura: a functional artificial dura for multimodal neural recording and modulation.bioRxiv : the preprint server for biology · 2025Article
- Inferring Neural Communication Dynamics from Field Potentials Using Graph Diffusion Autoregression.bioRxiv : the preprint server for biology · 2025Article
- A Neural Implant Design Toolbox for Nonhuman Primates.Journal of visualized experiments : JoVE · 2024Article
- Review
- Improving the Efficacy and Accessibility of Intracranial Viral Vector Delivery in Non-Human Primates.Pharmaceutics · 2022Article
- Demonstration of an Optimized Large-scale Optogenetic Cortical Interface for Non-human Primates.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2022Article
- Multi-modal artificial dura for simultaneous large-scale optical access and large-scale electrophysiology in non-human primate cortex.Journal of neural engineering · 2021Article
- Autonomous cage-side system for remote training of non-human primates.Journal of neuroscience methods · 2021Article
- A MRI-Based Toolbox for Neurosurgical Planning in Nonhuman Primates.Journal of visualized experiments : JoVE · 2020Article
Corrections and comments
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
Abstract
Optogenetics is a powerful neuroscientific tool which allows neurons to be modulated by optical stimulation. Despite widespread optogenetic experimentation in small animal models, optogenetics in non-human primates (NHPs) remains a niche field, particularly at the large scales necessary for multi-regional neural research. We previously published a large-scale, chronic optogenetic cortical interface for NHPs which was successful but came with a number of limitations. In this work, we present an optimized interface which improves upon the stability and scale of our previous interface while using more easily replicable methods to increase our system's availability to the scientific community. Specifically, we (1) demonstrate the long-term (~3 months) optical access to the brain achievable using a commercially-available transparent artificial dura with embedded electrodes, (2) showcase large-scale optogenetic expression achievable with simplified (magnetic resonance-free) surgical techniques, and (3) effectively modulated the expressing areas at large scales (~1 cm
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Registered trials
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.