Evidence map›Paper›PMID 41361957›Full record

ArticleThe clinical teacher2026

Innovative Approach to Understanding Complex Neuroanatomy Through 'Acting-Out', Immersive 3D Modelling.

Charlotte Kulow, Mara Sandrock

Abstract read
In one paragraph

Article in The clinical teacher, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

2 authors.

Charlotte KulowInstitut für Anatomie, Medizinische Fakultät der Universität Leipzig, Leipzig, Germany.ORCID https://orcid.org/0000-0002-6205-4616
Mara SandrockInstitut für Anatomie, Medizinische Fakultät der Universität Leipzig, Leipzig, Germany.ORCID https://orcid.org/0009-0004-5216-8937

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The challenge persists of engaging students in anatomy education, especially neuroanatomy. Conventional lectures often fail to accommodate the diverse learning preferences of students, leading to disinterest and stress. Innovative teaching methods, such as gamification and interactive learning, have shown promise. Recent advances, like 3D printing, card games and basic materials, have created more tactile models that enhance student engagement. Leipzig's anatomy department has developed a method called 'Acting-out' to teach and understand the spinal tracts, autonomic nervous and limbic systems. The 'Acting-out' method involves the collaborative creation of an enlarged neurological complex symbolising a particular aspect of structure, within which participants immerse themselves through role-playing scenarios, embodying and personifying a specific part or nerve structure. This method employs immersive 3D models, enhancing spatial understanding, encouraging collaboration and critical thinking. Students physically embody anatomical structures. Our 'Acting-out' method aligns with modern pedagogical principles. Physical activity enhances learning, while role play fosters deeper comprehension. Assigning roles and becoming structures provides unique perspectives, aiding memory retention. Peer teaching encourages reinforcement and cultivates a supportive environment. The 'Acting-out' method's unconventional approach has succeeded in engaging students. By stepping outside of traditional bounds, educators can offer students enriching, transformative educational experiences that prepare them for the dynamic demands of their career.

Indexed as

Education, Medical, UndergraduateImaging, Three-DimensionalModels, AnatomicNeuroanatomyHumansLearningPrinting, Three-DimensionalStudents, Medical

Identifiers

PMID41361957
PMCPMC12686600

What OpenQuestion holds

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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.