000145366 001__ 145366 000145366 005__ 20241024135330.0 000145366 0247_ $$2doi$$a10.1167/iovs.65.12.12 000145366 0248_ $$2sideral$$a140249 000145366 037__ $$aART-2024-140249 000145366 041__ $$aeng 000145366 100__ $$aMechó-García, María 000145366 245__ $$aStatistical model of ocular wavefronts with accommodation 000145366 260__ $$c2024 000145366 5060_ $$aAccess copy available to the general public$$fUnrestricted 000145366 5203_ $$aPurpose: The purpose of this study was to determine the minimum number of orthonormal basis functions, applying Principal Component Analysis (PCA), to represent the most wavefront aberrations at different accommodation stages. The study also aims to generate synthetic wavefront data using these functions. Methods: Monocular wavefront data from 191 subjects (26.15 ± 5.56 years old) were measured with a Hartmann-Shack aberrometer, simulating accommodation from 0 diopters (D) to 5 D in 1 D steps. The wavefronts for each accommodative demand were rescaled for different pupil sizes: 4.66, 4.76, 4.40, 4.09, 4.07, and 3.68 mm. PCA was applied to 150 wavefront parameters (25 Zernike coefficients × 6 accommodation levels) to obtain eigenvectors for dimensional reduction. A total of 49 eigenvectors were modeled as a sum of 2 multivariate Gaussians, from which 1000 synthetic data sets were generated. Results: The first 49 eigenvectors preserved 99.97% of the original data variability. No significant differences were observed between the mean values and standard deviation of the generated and original 49 eigenvectors (two one-sided test [TOST], P > 0.05/49) and (F-test, P > 0.05/49), both with Bonferroni correction. The mean values of the generated parameters (1000) were statistically equal to those of the original data (TOST, P > 0.05/150). The variability of the generated data was similar to the original data for the most important Zernike coefficients (F-test, P > 0.05/150). Conclusions: PCA significantly reduces the dimensionality of wavefront aberration data across 6 accommodative demands, reducing the variable space by over 66%. The synthetic data generated by the proposed wavefront model for accommodation closely resemble the original clinical data. 000145366 536__ $$9info:eu-repo/grantAgreement/EC/H2020/956720/EU/Opto-Biomechanical Eye Research Network/OBERON$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 956720-OBERON 000145366 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/ 000145366 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion 000145366 700__ $$0(orcid)0009-0006-7694-8086$$aArcas-Carbonell, María 000145366 700__ $$0(orcid)0000-0003-2710-1875$$aOrduna-Hospital, Elvira$$uUniversidad de Zaragoza 000145366 700__ $$0(orcid)0000-0002-5621-1937$$aSánchez-Cano, Ana$$uUniversidad de Zaragoza 000145366 700__ $$aLópez-Gil, Norberto 000145366 700__ $$aMacedo-de-Araújo, Rute J. 000145366 700__ $$aFaria-Ribeiro, Miguel 000145366 700__ $$aFernandes, Paulo 000145366 700__ $$aGonzález-Méijome, José Manuel 000145366 700__ $$aRozema, Jos 000145366 7102_ $$12002$$2647$$aUniversidad de Zaragoza$$bDpto. Física Aplicada$$cÁrea Óptica 000145366 773__ $$g65, 12 (2024), 12 [9 pp.]$$pInvestig. ophthalmol. vis. sci.$$tInvestigative ophthalmology & visual science$$x0146-0404 000145366 8564_ $$s1490244$$uhttps://zaguan.unizar.es/record/145366/files/texto_completo.pdf$$yVersión publicada 000145366 8564_ $$s3039816$$uhttps://zaguan.unizar.es/record/145366/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada 000145366 909CO $$ooai:zaguan.unizar.es:145366$$particulos$$pdriver 000145366 951__ $$a2024-10-24-12:11:22 000145366 980__ $$aARTICLE