ArticleJournal of visualized experiments : JoVE2020
A MRI-Based Toolbox for Neurosurgical Planning in Nonhuman Primates.
Article in Journal of visualized experiments : JoVE, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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.
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.
Who cites it
9 citing papers in PubMed.
- A large-scale optogenetic neurophysiology platform for improving accessibility in non-human primate behavioral experiments.Nature communications · 2026Article
- Customizable artificial simulator for developing, planning, and training personnel on neurophysiology and surgical procedures in non-human primates.Journal of neuroscience methods · 2025Article
- A large-scale optogenetic neurophysiology platform for improving accessibility in non-human primate behavioral experiments.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
- A versatile toolbox for studying cortical physiology in primates.Cell reports methods · 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
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
In this paper, we outline a method for surgical preparation that allows for the practical planning of a variety of neurosurgeries in NHPs solely using data extracted from magnetic resonance imaging (MRI). This protocol allows for the generation of 3D printed anatomically accurate physical models of the brain and skull, as well as an agarose gel model of the brain modeling some of the mechanical properties of the brain. These models can be extracted from MRI using brain extraction software for the model of the brain, and custom code for the model of the skull. The preparation protocol takes advantage of state-of-the-art 3D printing technology to make interfacing brains, skulls, and molds for gel brain models. The skull and brain models can be used to visualize brain tissue inside the skull with the addition of a craniotomy in the custom code, allowing for better preparation for surgeries directly involving the brain. The applications of these methods are designed for surgeries involved in neurological stimulation and recording as well as injection, but the versatility of the system allows for future expansion of the protocol, extraction techniques, and models to a wider scope of surgeries.
Indexed as
Identifiers
What OpenQuestion holds
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.