SynthesisAnnals of biomedical engineering2026
Finite Element Modeling of Cochlear Mechanics: A Systematic Review.
Synthesis in Annals of biomedical engineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Authors and funding
7 authors.
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Abstract
purposeFinite element (FE) modeling is a powerful computational tool used to simulate complex systems. In recent years, a considerable number of publications have reported the use of the FE method to study the cochlea and cochlear implants (CIs). However, large variability exists in the development of cochlear FE models.
objectiveTo present a systematic review of FE macromechanical modeling of the cochlea, identifying the techniques used and associated limitations across existing studies.
methodA literature search was conducted through PubMed, Scopus, and IEEE-Xplore databases of studies using FE modeling to study the cochlea and CIs. Studies published between January 1, 1985, and February 15, 2025, were assessed using the Covidence systematic review platform ( www.covidence.org ).
resultsA total of 1209 publications were found through the initial database search. After screening and full-text review, 77 studies met the inclusion criteria. Two primary modeling strategies were identified: simplified uncoiled model or realistic coiled model, including either two chambers or three chambers by incorporating the scala media and Reissner's membrane. Substantial variation was observed in material assumptions, particularly regarding basilar membrane stiffness. Validation was inconsistent; most studies compared model outputs with established experimental data such as Greenwood's frequency-place function, while some used computational comparisons or limited clinical data.
conclusionFE cochlear models provide valuable insight into cochlear mechanics yet remain constrained by simplified geometries, non-standardized material parameters, and insufficient experimental validation. Future work should integrate imaging and functional data and establish standardized modeling, material properties, and validation frameworks to improve physiological and clinical relevance.
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