Evidence map›Paper›PMID 41735306›Full record

ArticleNature communications2026

A large-scale optogenetic neurophysiology platform for improving accessibility in non-human primate behavioral experiments.

Devon J Griggs, Noah Stanis, Julien Bloch, Jasmine Zhou, Karam Khateeb, Shawn Fisher, Larry Shupe, Felix Schwock, Eberhard E Fetz, Hesamoddin Jahanian and 1 more

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Towards maximizing optical access through Smart Dura.Journal of neural engineering · 2026
    Article
  2. Review
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Devon J Griggs *University of Washington Department of Electrical and Computer Engineering, Seattle, USA.ORCID http://orcid.org/0000-0001-7059-7699
Noah Stanis *Washington National Primate Research Center, Seattle, USA.ORCID http://orcid.org/0009-0000-0091-1056
Julien BlochWashington National Primate Research Center, Seattle, USA.
Jasmine ZhouWashington National Primate Research Center, Seattle, USA.ORCID http://orcid.org/0000-0001-9063-9518
Karam KhateebWashington National Primate Research Center, Seattle, USA.ORCID http://orcid.org/0000-0003-3005-2197
Shawn FisherUniversity of Washington Department of Electrical and Computer Engineering, Seattle, USA.
Larry ShupeUniversity of Washington Department of Neurobiology and Biophysics, Seattle, USA.
Felix SchwockUniversity of Washington Department of Electrical and Computer Engineering, Seattle, USA.
Eberhard E FetzWashington National Primate Research Center, Seattle, USA.
Hesamoddin JahanianUniversity of Washington Department of Radiology, Seattle, USA.
Azadeh Yazdan-ShahmoradUniversity of Washington Department of Electrical and Computer Engineering, Seattle, USA. azadehy@uw.edu.ORCID http://orcid.org/0000-0001-5212-509X

Funding

Explainable Machine Learning to Guide Prefrontal Brain StimulationR01MH125429 · NIMH · UNIVERSITY OF WASHINGTON · PI Zaid Harchaoui, Azadeh Yazdan Shahmorad · 2022 to 2026
$4.0M
Engineering neuroplasticity using volitional control of activity-dependent optogenetic stimulation in macaque sensorimotor cortexR01NS119395 · NINDS · UNIVERSITY OF WASHINGTON · PI YAZDAN SHAHMORAD, AZADEH · 2021 to 2025
$3.9M
Multimodal investigation of tau-related vasculopathy in prodromal Alzheimer's diseaseK01AG071798 · NIA · UNIVERSITY OF WASHINGTON · PI JAHANIAN, HESAMODDIN · 2021 to 2025
$610k
Microscopy characterization of a novel tau model of Alzheimer's Disease in monkeysK25AG086663 · NIA · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Devon Griggs · 2025 to 2026
$219k
Co-engineering Hebbian and Homeostatic Plasticity Mechanisms to Induce Targeted Functional Neural Connectivity ChangesF99NS130828 · NINDS · UNIVERSITY OF WASHINGTON · PI KHATEEB, KARAM · 2023 to 2024
$99k
National Science Foundation (NSF) Graduate Research Fellowship Program (GRFP)NIA NIH HHS K01 AG071798NIA NIH HHS K25 AG086663NIMH NIH HHS R01 MH125429NINDS NIH HHS F99 NS130828NINDS NIH HHS R01 NS119395ODCDC CDC HHS P51 OD010425U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) 1T32 MH132518U.S. Department of Health & Human Services | NIH | NIH Office of the Director (OD) P51 OD0104
6 · The paper itself

Abstract

Optogenetics has been a powerful scientific tool for two decades, yet its integration with non-human primate (NHP) electrophysiology has been limited due to several technical challenges. These include a lack of electrode arrays capable of supporting large-scale and long-term optical access, inaccessible viral vector delivery methods for transfection of large regions of cortex, a paucity of hardware designed for large-scale patterned cortical illumination, and limited designs for multi-modal experimentation. To address these gaps, we introduce a highly accessible platform integrating optogenetics and electrophysiology for behavioral and neural modulation with neurophysiological recording in NHPs. We employed this platform in two rhesus macaques and showcased its capability of optogenetically disrupting reaches, while simultaneously monitoring ongoing electrocorticography activity underlying the stimulation-induced behavioral changes. The platform exhibits long-term stability and functionality, thereby facilitating large-scale electrophysiology, optical imaging, and optogenetics over months, which is crucial for translationally relevant multi-modal studies of neurological and neuropsychiatric disorders.

Indexed as

Behavior, AnimalNeurophysiologyOptogeneticsAnimalsElectrocorticographyMacaca mulattaMaleNeurons

Identifiers

PMID41735306
PMCPMC13043788

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.