Evidence map›Paper›PMID 40013431›Full record

ReviewAnatomical sciences education2025

Design of an interactive brain model for neuroanatomy education and MRI training.

Ethan P McNaughton, Liam Bilbie, Matea Zuljevic, Lauren K Allen, Daiana-Roxana Pur, Roy Eagleson, Sandrine de Ribaupierre

Abstract readReview
In one paragraph

Review in Anatomical sciences education, 2025. 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. Review
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

7 authors.

Ethan P McNaughtonSchulich School of Medicine & Dentistry, Western University, London, Ontario, Canada.ORCID https://orcid.org/0009-0006-5857-5132
Liam BilbieDepartment of Electrical & Software Engineering, Faculty of Engineering, Western University, London, Ontario, Canada.
Matea ZuljevicDepartment of Clinical Neurological Sciences, Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada.
Lauren K AllenDepartment of Anatomy & Cell Biology, Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada.
Daiana-Roxana PurSchulich School of Medicine & Dentistry, Western University, London, Ontario, Canada.
Roy EaglesonDepartment of Electrical & Software Engineering, Faculty of Engineering, Western University, London, Ontario, Canada.
Sandrine de RibaupierreSchulich School of Medicine & Dentistry, Western University, London, Ontario, Canada.ORCID https://orcid.org/0000-0001-7096-2289

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this article, we introduce a new virtual application that offers an interactive model of the brain for neuroanatomy education. Through a dual-platform architecture, the application can be downloaded on both desktop and mobile devices, with the mobile app leveraging unique capacities of modern handheld systems to deploy the brain model in augmented reality. In addition to illustrating complex spatial relationships between internal brain structures, vasculature, and cranial nerves, the application integrates magnetic resonance imaging (MRI) data into the user interface. MRI series in the coronal, sagittal, and axial planes can be superimposed directly onto the brain model, allowing students to engage with two-dimensional MRI slices in three-dimensional space. While previous virtual tools have offered a similar superimposition, none have done so through a mobile app, downloadable on handheld devices and suited to the modern student. The benefits of this function on students' spatial understanding and identification of neural structures on MRI slices remain understudied. The aim of this article is to describe the functionality of our dual-platform application, to outline its potential strengths as an educational tool, and to address possible directions for improvement following future assessments of the app's utility. Our ultimate goal is to offer a preliminary introduction to a new system that seeks to support users' understanding of three-dimensional neuroanatomy and aims to enhance their ability to read an MRI of the brain.

Indexed as

BrainComputer-Assisted InstructionMagnetic Resonance ImagingModels, AnatomicNeuroanatomyAugmented RealityHumansImaging, Three-DimensionalMobile ApplicationsUser-Computer InterfaceVirtual Realitycomputers in anatomical educationinteractive computer graphicsmodeling and simulationteaching of neuroscience/neuroanatomy

Identifiers

PMID40013431
PMCPMC11960425

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.