{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,2]],"date-time":"2026-11-02T23:14:04Z","timestamp":1793661244738,"version":"4.5.1"},"reference-count":46,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2024,12,27]],"date-time":"2024-12-27T00:00:00Z","timestamp":1735257600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Acta Ophthalmologica"],"published-print":{"date-parts":[[2025,6]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Purpose<\/jats:title><jats:p>The relationship between retinal morphology, as assessed by optical coherence tomography (OCT), and retinal function in microperimetry (MP) has not been well studied, despite its increasing importance as an essential functional endpoint for clinical trials and emerging therapies in retinal diseases. Normative databases of healthy ageing eyes are largely missing from literature.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>Healthy subjects above 50\u2009years were examined using two MP devices, MP\u20103 (NIDEK) and MAIA (iCare). An identical grid, encompassing 45 stimuli was used for retinal sensitivity (RS) assessment. Deep\u2010learning\u2010based algorithms performed automated segmentation of ellipsoid zone (EZ), outer nuclear layer (ONL), ganglion cell layer (GCL) and retinal nerve fibre layer (RNFL) from OCT volumes (Spectralis, Heidelberg). Pointwise co\u2010registration between each MP stimulus and corresponding location on OCT was performed via registration algorithm. Effect of age, eccentricity and layer thickness on RS was assessed by mixed effect models.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Three thousand six hundred stimuli from twenty eyes of twenty patients were included. Mean patient age was 68.9\u2009\u00b1\u200910.9\u2009years. Mean RS for the first exam was 28.65\u2009\u00b1\u20092.49\u2009dB and 25.5\u2009\u00b1\u20092.81\u2009dB for MP\u20103 and MAIA, respectively. Increased EZ thickness, ONL thickness and GCL thickness were significantly correlated with increased RS (all <jats:italic>p<\/jats:italic>\u2009&lt;\u20090.001). Univariate models showed lower RS with advanced age and higher eccentricity (both <jats:italic>p<\/jats:italic>\u2009&lt;\u20090.05).<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>This work provides reference values for healthy age\u2010related EZ and ONL\u2010thicknesses without impairment of visual function and evidence for RS decrease with eccentricity and increasing age. This information is crucial for interpretation of future clinical trials in disease.<\/jats:p><\/jats:sec>","DOI":"10.1111\/aos.17434","type":"journal-article","created":{"date-parts":[[2024,12,28]],"date-time":"2024-12-28T05:34:17Z","timestamp":1735364057000},"page":"423-431","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Normative prospective data on automatically quantified retinal morphology correlated to retinal function in healthy ageing eyes by two microperimetry devices"],"prefix":"10.1111","volume":"103","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-0423-7294","authenticated-orcid":false,"given":"Klaudia","family":"Birner","sequence":"first","affiliation":[{"name":"Department of Ophthalmology and Optometry Medical University of Vienna  Vienna Austria"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Leonard M.","family":"Coulibaly","sequence":"additional","affiliation":[{"name":"Department of Ophthalmology and Optometry Medical University of Vienna  Vienna Austria"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-9191-4804","authenticated-orcid":false,"given":"Johannes","family":"Schrittwieser","sequence":"additional","affiliation":[{"name":"Department of Ophthalmology and Optometry Medical University of Vienna  Vienna Austria"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Irene","family":"Steiner","sequence":"additional","affiliation":[{"name":"Center for Medical Data Science, Institute of Medical Statistics Medical University of Vienna  Vienna Austria"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hamza","family":"Mohamed","sequence":"additional","affiliation":[{"name":"Department of Ophthalmology and Optometry Medical University of Vienna  Vienna Austria"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Simon","family":"Sch\u00fcrer\u2010Waldheim","sequence":"additional","affiliation":[{"name":"Department of Ophthalmology and Optometry Medical University of Vienna  Vienna Austria"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Markus","family":"Gumpinger","sequence":"additional","affiliation":[{"name":"Department of Ophthalmology and Optometry Medical University of Vienna  Vienna Austria"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hrvoje","family":"Bogunovic","sequence":"additional","affiliation":[{"name":"Aritificial Intelligence Institute, Center for Medical Data Science Medical University of Vienna  Vienna Austria"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7788-7311","authenticated-orcid":false,"given":"Ursula","family":"Schmidt\u2010Erfurth","sequence":"additional","affiliation":[{"name":"Department of Ophthalmology and Optometry Medical University of Vienna  Vienna Austria"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7661-4015","authenticated-orcid":false,"given":"Gregor S.","family":"Reiter","sequence":"additional","affiliation":[{"name":"Department of Ophthalmology and Optometry Medical University of Vienna  Vienna Austria"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2024,12,27]]},"reference":[{"key":"e_1_2_6_2_1","doi-asserted-by":"publisher","DOI":"10.1167\/TVST.13.6.7"},{"key":"e_1_2_6_3_1","doi-asserted-by":"publisher","DOI":"10.1007\/978\u20103\u2010030\u201033850\u20103_9"},{"key":"e_1_2_6_4_1","doi-asserted-by":"publisher","DOI":"10.1155\/2016\/8274954"},{"key":"e_1_2_6_5_1","unstructured":"Barton K.(2023)MuMIn: Multi\u2010Model Inference. 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