Impact of glaucoma on the spatial frequency processing of scenes in central vision Article Swipe
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· 2023
· Open Access
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· DOI: https://doi.org/10.1017/s0952523822000086
Glaucoma is an eye disease characterized by a progressive vision loss usually starting in peripheral vision. However, a deficit for scene categorization is observed even in the preserved central vision of patients with glaucoma. We assessed the processing and integration of spatial frequencies in the central vision of patients with glaucoma during scene categorization, considering the severity of the disease, in comparison to age-matched controls. In the first session, participants had to categorize scenes filtered in low-spatial frequencies (LSFs) and high-spatial frequencies (HSFs) as a natural or an artificial scene. Results showed that the processing of spatial frequencies was impaired only for patients with severe glaucoma, in particular for HFS scenes. In the light of proactive models of visual perception, we investigated how LSF could guide the processing of HSF in a second session. We presented hybrid scenes (combining LSF and HSF from two scenes belonging to the same or different semantic category). Participants had to categorize the scene filtered in HSF while ignoring the scene filtered in LSF. Surprisingly, results showed that the semantic influence of LSF on HSF was greater for patients with early glaucoma than controls, and then disappeared for the severe cases. This study shows that a progressive destruction of retinal ganglion cells affects the spatial frequency processing in central vision. This deficit may, however, be compensated by increased reliance on predictive mechanisms at early stages of the disease which would however decline in more severe cases.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1017/s0952523822000086
- https://www.cambridge.org/core/services/aop-cambridge-core/content/view/6A53000968BCD3E06933198323F881EC/S0952523822000086a.pdf/div-class-title-impact-of-glaucoma-on-the-spatial-frequency-processing-of-scenes-in-central-vision-div.pdf
- OA Status
- hybrid
- Cited By
- 9
- References
- 77
- Related Works
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- OpenAlex ID
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4319461605Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1017/s0952523822000086Digital Object Identifier
- Title
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Impact of glaucoma on the spatial frequency processing of scenes in central visionWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
-
2023-01-01Full publication date if available
- Authors
-
Audrey Trouilloud, Elvia Ferry, Muriel Boucart, Louise Kauffmann, Aude Warniez, Jean‐François Rouland, Carole PeyrinList of authors in order
- Landing page
-
https://doi.org/10.1017/s0952523822000086Publisher landing page
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https://www.cambridge.org/core/services/aop-cambridge-core/content/view/6A53000968BCD3E06933198323F881EC/S0952523822000086a.pdf/div-class-title-impact-of-glaucoma-on-the-spatial-frequency-processing-of-scenes-in-central-vision-div.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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hybridOpen access status per OpenAlex
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https://www.cambridge.org/core/services/aop-cambridge-core/content/view/6A53000968BCD3E06933198323F881EC/S0952523822000086a.pdf/div-class-title-impact-of-glaucoma-on-the-spatial-frequency-processing-of-scenes-in-central-vision-div.pdfDirect OA link when available
- Concepts
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Categorization, Glaucoma, Visual processing, Perception, Spatial frequency, Psychology, Visual perception, Audiology, Artificial intelligence, Neuroscience, Computer science, Medicine, Optics, PhysicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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9Total citation count in OpenAlex
- Citations by year (recent)
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2025: 6, 2024: 2, 2023: 1Per-year citation counts (last 5 years)
- References (count)
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77Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.study | 198 |
| abstract_inverted_index.which | 234 |
| abstract_inverted_index.while | 163 |
| abstract_inverted_index.would | 235 |
| abstract_inverted_index.(HSFs) | 83 |
| abstract_inverted_index.(LSFs) | 79 |
| abstract_inverted_index.cases. | 196, 241 |
| abstract_inverted_index.during | 52 |
| abstract_inverted_index.hybrid | 137 |
| abstract_inverted_index.models | 117 |
| abstract_inverted_index.scene. | 90 |
| abstract_inverted_index.scenes | 74, 138, 145 |
| abstract_inverted_index.second | 133 |
| abstract_inverted_index.severe | 105, 195, 240 |
| abstract_inverted_index.showed | 92, 172 |
| abstract_inverted_index.stages | 230 |
| abstract_inverted_index.vision | 10, 30, 47 |
| abstract_inverted_index.visual | 119 |
| abstract_inverted_index.Results | 91 |
| abstract_inverted_index.affects | 208 |
| abstract_inverted_index.central | 29, 46, 214 |
| abstract_inverted_index.decline | 237 |
| abstract_inverted_index.deficit | 19, 217 |
| abstract_inverted_index.disease | 5, 233 |
| abstract_inverted_index.greater | 182 |
| abstract_inverted_index.however | 236 |
| abstract_inverted_index.natural | 86 |
| abstract_inverted_index.results | 171 |
| abstract_inverted_index.retinal | 205 |
| abstract_inverted_index.scenes. | 111 |
| abstract_inverted_index.spatial | 42, 97, 210 |
| abstract_inverted_index.usually | 12 |
| abstract_inverted_index.vision. | 16, 215 |
| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.Glaucoma | 1 |
| abstract_inverted_index.However, | 17 |
| abstract_inverted_index.assessed | 36 |
| abstract_inverted_index.disease, | 60 |
| abstract_inverted_index.filtered | 75, 160, 167 |
| abstract_inverted_index.ganglion | 206 |
| abstract_inverted_index.glaucoma | 51, 187 |
| abstract_inverted_index.however, | 219 |
| abstract_inverted_index.ignoring | 164 |
| abstract_inverted_index.impaired | 100 |
| abstract_inverted_index.observed | 24 |
| abstract_inverted_index.patients | 32, 49, 103, 184 |
| abstract_inverted_index.reliance | 224 |
| abstract_inverted_index.semantic | 152, 175 |
| abstract_inverted_index.session, | 69 |
| abstract_inverted_index.session. | 134 |
| abstract_inverted_index.severity | 57 |
| abstract_inverted_index.starting | 13 |
| abstract_inverted_index.belonging | 146 |
| abstract_inverted_index.controls, | 189 |
| abstract_inverted_index.controls. | 65 |
| abstract_inverted_index.different | 151 |
| abstract_inverted_index.frequency | 211 |
| abstract_inverted_index.glaucoma, | 106 |
| abstract_inverted_index.glaucoma. | 34 |
| abstract_inverted_index.increased | 223 |
| abstract_inverted_index.influence | 176 |
| abstract_inverted_index.presented | 136 |
| abstract_inverted_index.preserved | 28 |
| abstract_inverted_index.proactive | 116 |
| abstract_inverted_index.(combining | 139 |
| abstract_inverted_index.artificial | 89 |
| abstract_inverted_index.categorize | 73, 157 |
| abstract_inverted_index.category). | 153 |
| abstract_inverted_index.comparison | 62 |
| abstract_inverted_index.mechanisms | 227 |
| abstract_inverted_index.particular | 108 |
| abstract_inverted_index.peripheral | 15 |
| abstract_inverted_index.predictive | 226 |
| abstract_inverted_index.processing | 38, 95, 128, 212 |
| abstract_inverted_index.age-matched | 64 |
| abstract_inverted_index.compensated | 221 |
| abstract_inverted_index.considering | 55 |
| abstract_inverted_index.destruction | 203 |
| abstract_inverted_index.disappeared | 192 |
| abstract_inverted_index.frequencies | 43, 78, 82, 98 |
| abstract_inverted_index.integration | 40 |
| abstract_inverted_index.low-spatial | 77 |
| abstract_inverted_index.perception, | 120 |
| abstract_inverted_index.progressive | 9, 202 |
| abstract_inverted_index.Participants | 154 |
| abstract_inverted_index.high-spatial | 81 |
| abstract_inverted_index.investigated | 122 |
| abstract_inverted_index.participants | 70 |
| abstract_inverted_index.Surprisingly, | 170 |
| abstract_inverted_index.characterized | 6 |
| abstract_inverted_index.categorization | 22 |
| abstract_inverted_index.categorization, | 54 |
| cited_by_percentile_year.max | 99 |
| cited_by_percentile_year.min | 89 |
| corresponding_author_ids | https://openalex.org/A5032227786 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 7 |
| corresponding_institution_ids | https://openalex.org/I1294671590, https://openalex.org/I70900168, https://openalex.org/I899635006 |
| citation_normalized_percentile.value | 0.84814584 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |