Evidence map›Paper›PMID 38407257›Full record

ArticleJournal of visualized experiments : JoVE2024

A Neural Implant Design Toolbox for Nonhuman Primates.

Rachel Iritani, Tiphaine Belloir, Devon J Griggs, Zachary Ip, Zada Anderson, Azadeh Yazdan-Shahmorad

Abstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Rachel IritaniDepartment of Bioengineering, Washington National Primate Research Center, University of Washington.
Tiphaine BelloirDepartment of Bioengineering, Washington National Primate Research Center, University of Washington.
Devon J GriggsDepartment of Electrical and Computer Engineering, Washington National Primate Research Center, University of Washington.
Zachary IpDepartment of Bioengineering, Washington National Primate Research Center, University of Washington.
Zada AndersonDepartment of Biomedical Engineering, Purdue University.
Azadeh Yazdan-ShahmoradDepartment of Bioengineering, Washington National Primate Research Center, University of Washington; Department of Electrical and Computer Engineering, Washington National Primate Research Center, University of Washington; azadehy@uw.edu.

Funding

Washington National Primate Research CenterP51OD010425 · OD · UNIVERSITY OF WASHINGTON · PI Mari Ostendorf · 2012 to 2026
$201.8M
WaNPRC Macaca nemestrina SPF Breeding ColonyU42OD011123 · OD · UNIVERSITY OF WASHINGTON · PI CHARLOTTE HOTCHKISS · 2012 to 2026
$34.4M
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
Smart Dura: A Functional Large-scale, High-Density Optoelectric Dura for Non-Human PrimatesR01NS116464 · NINDS · CARNEGIE-MELLON UNIVERSITY · PI CHAMANZAR, MAYSAMREZA · 2020 to 2024
$2.0M
NIH HHS P51 OD010425NIH HHS U42 OD011123NINDS NIH HHS R01 NS116464NINDS NIH HHS R01 NS119395
6 · The paper itself

Abstract

This paper describes an in-house method of 3D brain and skull modeling from magnetic resonance imaging (MRI) tailored for nonhuman primate (NHP) neurosurgical planning. This automated, computational software-based technique provides an efficient way of extracting brain and skull features from MRI files as opposed to traditional manual extraction techniques using imaging software. Furthermore, the procedure provides a method for visualizing the brain and craniotomized skull together for intuitive, virtual surgical planning. This generates a drastic reduction in time and resources from those required by past work, which relied on iterative 3D printing. The skull modeling process creates a footprint that is exported into modeling software to design custom-fit cranial chambers and headposts for surgical implantation. Custom-fit surgical implants minimize gaps between the implant and the skull that could introduce complications, including infection or decreased stability. By implementing these pre-surgical steps, surgical and experimental complications are reduced. These techniques can be adapted for other surgical processes, facilitating more efficient and effective experimental planning for researchers and, potentially, neurosurgeons.

Indexed as

HeadSkullAnimalsEmbryo ImplantationPrimatesProstheses and Implants

Identifiers

PMID38407257
PMCPMC11861238

What OpenQuestion holds

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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.