A systematic review and meta‐analysis of pedagogical trends and impact in neuroanatomy education

Neuroanatomy is notoriously challenging to learn and often contributes to "neurophobia." Traditional instruction has relied on lectures and dissection, but newer pedagogical innovations are increasingly adopted. Despite this, comparative evidence to guide best practices is limited. This systematic review and meta-analysis aimed to synthesize the literature on neuroanatomy teaching interventions, and quantitatively assess pooled effects on (1) short-term knowledge retention, (2) long-term knowledge retention, and (3) learner satisfaction. Following PRISMA guidelines, we searched PubMed, EMBASE, MEDLINE, Scopus, and Web of Science for studies published between January 2000 and February 2025. Eligible studies described defined neuroanatomy teaching interventions for post-secondary learners. Those reporting knowledge or satisfaction outcomes were included in the meta-analysis. Two reviewers independently performed screening, extraction, and methodological quality assessment using the MERSQI. Random-effects meta-analyses generated pooled standardized mean differences (SMDs) with 95% confidence intervals (CIs). From 11,438 records, 195 studies met inclusion for qualitative synthesis, most often involving digital/web-based applications (n = 38), immersive technologies (n = 22), or 3D models (n = 18). Overall methodological quality was moderate. Students valued interventions promoting 3D reasoning, clinical integration, and active learning. Thirty-seven studies contributed to meta-analysis. Computer/web-based applications showed consistent benefit for short-term knowledge (SMD = 1.69; 95% CI [0.32, 3.06]). Evidence for long-term knowledge retention and satisfaction was less robust. In conclusion, neuroanatomy education is shifting toward blended curricula integrating digital tools, models, and active pedagogies. Computer/web-based applications are most consistently effective for short-term learning; further research should emphasize long-term outcomes.

Authors

Institutions

Publication Details

Journal
Anatomical Sciences Education
Published
2026-02-18
DOI
https://doi.org/10.1002/ase.70175
Citations
1
Primary Topic
Anatomy and Medical Technology
Type
article
Field-Weighted Citation Impact
21.28
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A systematic review and meta‐analysis of pedagogical trends and impact in neuroanatomy education

K. W. S. M. Wijayawardhana, Jason S. Massey, Chantal Hoppe, Vandana Nathan et al.
1 citations
Anatomical Sciences Education
Anatomy and Medical Technology
21.28
article

A systematic review and meta‐analysis of pedagogical trends and impact in neuroanatomy education

K. W. S. M. Wijayawardhana, Jason S. Massey, Chantal Hoppe, Vandana Nathan, Yasith Mathangasinghe, Prasanna Abeyrathna, David G. Gonsalvez, Glen J. Paton, Michelle D. Lazarus, Narendra Pamidi, Deepan Jayapala, Lasni Buddhibhashika Jayasooriya, Jayami Eshana Samaranayake, Choy Ker Woon, Brenda Hernandez‐Salazar, Raquel Villar‐Puchades, Pak Fung Ho, Ngo Lam Chan, Jack Mayhew, Ming Yui Nathan Mak, Muhammad Zaid Zainuddin, Charis Ting, Thaalinee P. K. A. Mohan, Anish Narayan, Georgina C. Stephens, Hasanya Rajapaksha, Rachel Lou
article en
1 citations

Abstract

Neuroanatomy is notoriously challenging to learn and often contributes to "neurophobia." Traditional instruction has relied on lectures and dissection, but newer pedagogical innovations are increasingly adopted. Despite this, comparative evidence to guide best practices is limited. This systematic review and meta-analysis aimed to synthesize the literature on neuroanatomy teaching interventions, and quantitatively assess pooled effects on (1) short-term knowledge retention, (2) long-term knowledge retention, and (3) learner satisfaction. Following PRISMA guidelines, we searched PubMed, EMBASE, MEDLINE, Scopus, and Web of Science for studies published between January 2000 and February 2025. Eligible studies described defined neuroanatomy teaching interventions for post-secondary learners. Those reporting knowledge or satisfaction outcomes were included in the meta-analysis. Two reviewers independently performed screening, extraction, and methodological quality assessment using the MERSQI. Random-effects meta-analyses generated pooled standardized mean differences (SMDs) with 95% confidence intervals (CIs). From 11,438 records, 195 studies met inclusion for qualitative synthesis, most often involving digital/web-based applications (n = 38), immersive technologies (n = 22), or 3D models (n = 18). Overall methodological quality was moderate. Students valued interventions promoting 3D reasoning, clinical integration, and active learning. Thirty-seven studies contributed to meta-analysis. Computer/web-based applications showed consistent benefit for short-term knowledge (SMD = 1.69; 95% CI [0.32, 3.06]). Evidence for long-term knowledge retention and satisfaction was less robust. In conclusion, neuroanatomy education is shifting toward blended curricula integrating digital tools, models, and active pedagogies. Computer/web-based applications are most consistently effective for short-term learning; further research should emphasize long-term outcomes.

Anatomical Sciences Education
Universitat Jaume I (ES), Monash University Malaysia (MY), Texas Christian University (US), Kyushu University (JP), University of Kelaniya (LK), The University of Melbourne (AU), Chinese University of Hong Kong (HK), University of Moratuwa (LK), University of Johannesburg (ZA), University of Teacher Education Fukuoka (JP), Hospital Sungai Buloh (MY), Monash University (AU), Universiti Teknologi MARA (MY), University of Hong Kong (HK), University of Colombo (LK)
Quality Education
Openalex Percentile: Top 1%
Anatomy and Medical Technology
21.28
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.