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Despite recent advances in optical coherence tomography (OCT)-based elastography (OCE) methods, controversy remains regarding the effect of intraocular pressure (IOP) on mechanical wave propagation speed in the cornea. This could be attributed to the complexity of corneal biomechanics and the difficulties associated with conducting in vivo corneal shear-wave OCE measurements. We constructed a simplified artificial eye model with a silicone cornea and controllable IOPs and performed surface wave OCE measurements in radial directions (54\u2013324\u00b0) of the silicone cornea at different IOP levels (10\u201340 mmHg). The results demonstrated increases in wave propagation speeds (mean \u00b1 STD) from 6.55 \u00b1 0.09 m\/s (10 mmHg) to 9.82 \u00b1 0.19 m\/s (40 mmHg), leading to an estimate of Young\u2019s modulus, which increased from 145.23 \u00b1 4.43 kPa to 326.44 \u00b1 13.30 kPa. Our implementation of an artificial eye model highlighted that the impact of IOP on Young\u2019s modulus (\u0394E = 165.59 kPa, IOP: 10\u201340 mmHg) was more significant than the effect of stretching of the silicone cornea (\u0394E = 15.79 kPa, relative elongation: 0.98\u20136.49%). Our study sheds light on the potential advantages of using an artificial eye model to represent the response of the human cornea during OCE measurement and provides valuable insights into the impact of IOP on wave-based OCE measurement for future in vivo corneal biomechanics studies.<\/jats:p>","DOI":"10.3390\/bioengineering10070754","type":"journal-article","created":{"date-parts":[[2023,6,26]],"date-time":"2023-06-26T05:28:02Z","timestamp":1687757282000},"page":"754","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Corneal Surface Wave Propagation Associated with Intraocular Pressures: OCT Elastography Assessment in a Simplified Eye Model"],"prefix":"10.3390","volume":"10","author":[{"given":"Guoqin","family":"Ma","sequence":"first","affiliation":[{"name":"School of Mechatronic Engineering and Automation, Foshan University, Foshan 528000, 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