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Apart from applications in healthy subjects, this method can also be used to examine dysfunctions in patients suffering from partial visual field losses. While such objective measurement of visual deficits (scotoma) is of great importance for, e.g., longitudinal studies addressing treatment effects, it requires a thorough assessment of accuracy and reproducibility of the results obtained. In this study, we quantified the reproducibility of pRF mapping results within and across sessions in case of central visual field loss in a group of 15 human subjects. We simulated scotoma by masking a central area of 2\u00b0 radius from stimulation to establish ground-truth conditions. This study was performed on a 7T ultra-high field MRI scanner for increased sensitivity. We found excellent intrasession and intersession reproducibility for the pRF center position (Spearman correlation coefficients for<jats:italic>x<\/jats:italic>,<jats:italic>y<\/jats:italic>: &gt;0.95; eccentricity: &gt;0.87; polar angle: &gt;0.98), but only modest reproducibility for pRF size (Spearman correlation coefficients around 0.4). We further examined the scotoma detection performance using an automated method based on a reference dataset acquired with full-field stimulation. For the 2\u00b0 artificial scotoma, the group-averaged scotoma sizes were estimated at between 1.92\u00b0 and 2.19\u00b0 for different sessions. We conclude that pRF mapping of visual field losses yields robust, reproducible measures of retinal function and suggest the use of pRF mapping as an objective method for monitoring visual deficits during therapeutic interventions or disease progression.<\/jats:p>","DOI":"10.1523\/eneuro.0087-22.2022","type":"journal-article","created":{"date-parts":[[2022,9,6]],"date-time":"2022-09-06T17:50:40Z","timestamp":1662486640000},"page":"ENEURO.0087-22.2022","source":"Crossref","is-referenced-by-count":9,"title":["Intrasession and Intersession Reproducibility of Artificial Scotoma pRF Mapping Results at Ultra-High Fields"],"prefix":"10.1523","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8730-9793","authenticated-orcid":false,"given":"David","family":"Linhardt","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Maximilian","family":"Pawloff","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michael","family":"Woletz","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Allan","family":"Hummer","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Martin","family":"Tik","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Maria","family":"Vasileiadi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Markus","family":"Ritter","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Garikoitz","family":"Lerma-Usabiaga","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ursula","family":"Schmidt-Erfurth","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Christian","family":"Windischberger","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"393","published-online":{"date-parts":[[2022,9,6]]},"reference":[{"key":"2023041302170885000_9.5.ENEURO.0087-22.2022.1","doi-asserted-by":"publisher","DOI":"10.3389\/fnhum.2015.00096"},{"key":"2023041302170885000_9.5.ENEURO.0087-22.2022.2","doi-asserted-by":"publisher","DOI":"10.1152\/jn.00102.2009"},{"key":"2023041302170885000_9.5.ENEURO.0087-22.2022.3","doi-asserted-by":"publisher","DOI":"10.1016\/S1053-8119(03)00336-7"},{"key":"2023041302170885000_9.5.ENEURO.0087-22.2022.4","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.2108713118"},{"key":"2023041302170885000_9.5.ENEURO.0087-22.2022.5","doi-asserted-by":"publisher","DOI":"10.1167\/13.7.13"},{"key":"2023041302170885000_9.5.ENEURO.0087-22.2022.6","doi-asserted-by":"publisher","DOI":"10.1167\/tvst.10.1.25"},{"key":"2023041302170885000_9.5.ENEURO.0087-22.2022.7","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2007.09.034"},{"key":"2023041302170885000_9.5.ENEURO.0087-22.2022.8","doi-asserted-by":"publisher","DOI":"10.1038\/369525a0"},{"key":"2023041302170885000_9.5.ENEURO.0087-22.2022.9","doi-asserted-by":"publisher","DOI":"10.1093\/biomet\/10.4.507"},{"key":"2023041302170885000_9.5.ENEURO.0087-22.2022.10","doi-asserted-by":"publisher","DOI":"10.1152\/jn.1965.28.6.1041"},{"key":"2023041302170885000_9.5.ENEURO.0087-22.2022.11","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2016.07.003"},{"key":"2023041302170885000_9.5.ENEURO.0087-22.2022.12","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2017.12.010"},{"key":"2023041302170885000_9.5.ENEURO.0087-22.2022.13","doi-asserted-by":"publisher","DOI":"10.1152\/jn.00105.2013"},{"key":"2023041302170885000_9.5.ENEURO.0087-22.2022.14","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pcbi.1007924"},{"key":"2023041302170885000_9.5.ENEURO.0087-22.2022.15","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.3052-20.2021"},{"key":"2023041302170885000_9.5.ENEURO.0087-22.2022.16","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2008.10.065"},{"key":"2023041302170885000_9.5.ENEURO.0087-22.2022.17","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2021.118240"},{"key":"2023041302170885000_9.5.ENEURO.0087-22.2022.18","unstructured":"MATLAB (2018) MATLAB version 9.4.0 (R2018a). 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