Characterising human disparity tuning properties using population receptive field mapping
<p>Our visual percept of small differences in depth is largely informed by binocular stereopsis, the ability to decode depth from the horizontal offset between the retinal images in each eye. While multiple cortical areas are associated with stereoscopic processing, it is unclear how tuning to...
| Main Authors: | , , , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
Society for Neuroscience
2025
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| _version_ | 1824459164498264064 |
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| author | Alvarez, I Mancari, A Ip, IB Parker, AJ Bridge, H |
| author_facet | Alvarez, I Mancari, A Ip, IB Parker, AJ Bridge, H |
| author_sort | Alvarez, I |
| collection | OXFORD |
| description | <p>Our visual percept of small differences in depth is largely informed by binocular stereopsis, the ability to decode depth from the horizontal offset between the retinal images in each eye. While multiple cortical areas are associated with stereoscopic processing, it is unclear how tuning to specific binocular disparities is organised across human visual cortex. We used 3T functional magnetic resonance imaging to generate population receptive fields in response to modulation of binocular disparity to characterise the neural tuning to disparity. We also used psychophysics to measure stereoacuity thresholds compared to backgrounds at different depths (pedestal disparity). Ten human participants (7 female) observed correlated or anticorrelated random-dot stereograms with disparity ranging from –0.3° to 0.3°, and responses were modelled as 1-dimensional tuning curves along the depth dimension. First, we demonstrate that lateral and dorsal visual areas show the greatest proportion of vertices selective for binocular disparity. Second, with binocularly correlated stimuli, we show a polynomial relationship between preferred disparity and tuning curve width, with sharply tuned disparity responses at near-zero disparities, and broader disparity tuning profiles at near or far disparities. This relationship held across visual areas and was not present for anticorrelated stimuli. Finally, the individual thresholds for psychophysical stereoacuity at the 3 different pedestal disparities were broadly related to population receptive field tuning width in area V1, suggesting a possible limit for fine stereopsis at the earliest level of cortical processing. Together, these findings point to heterogeneity of disparity processing across human visual areas, comparable to non-human primates.</p> |
| first_indexed | 2025-02-19T04:37:26Z |
| format | Journal article |
| id | oxford-uuid:21c01f7d-1f46-42c9-bd1a-c916ac064bbc |
| institution | University of Oxford |
| language | English |
| last_indexed | 2025-02-19T04:37:26Z |
| publishDate | 2025 |
| publisher | Society for Neuroscience |
| record_format | dspace |
| spelling | oxford-uuid:21c01f7d-1f46-42c9-bd1a-c916ac064bbc2025-02-12T08:08:03ZCharacterising human disparity tuning properties using population receptive field mappingJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:21c01f7d-1f46-42c9-bd1a-c916ac064bbcEnglishSymplectic ElementsSociety for Neuroscience2025Alvarez, IMancari, AIp, IBParker, AJBridge, H<p>Our visual percept of small differences in depth is largely informed by binocular stereopsis, the ability to decode depth from the horizontal offset between the retinal images in each eye. While multiple cortical areas are associated with stereoscopic processing, it is unclear how tuning to specific binocular disparities is organised across human visual cortex. We used 3T functional magnetic resonance imaging to generate population receptive fields in response to modulation of binocular disparity to characterise the neural tuning to disparity. We also used psychophysics to measure stereoacuity thresholds compared to backgrounds at different depths (pedestal disparity). Ten human participants (7 female) observed correlated or anticorrelated random-dot stereograms with disparity ranging from –0.3° to 0.3°, and responses were modelled as 1-dimensional tuning curves along the depth dimension. First, we demonstrate that lateral and dorsal visual areas show the greatest proportion of vertices selective for binocular disparity. Second, with binocularly correlated stimuli, we show a polynomial relationship between preferred disparity and tuning curve width, with sharply tuned disparity responses at near-zero disparities, and broader disparity tuning profiles at near or far disparities. This relationship held across visual areas and was not present for anticorrelated stimuli. Finally, the individual thresholds for psychophysical stereoacuity at the 3 different pedestal disparities were broadly related to population receptive field tuning width in area V1, suggesting a possible limit for fine stereopsis at the earliest level of cortical processing. Together, these findings point to heterogeneity of disparity processing across human visual areas, comparable to non-human primates.</p> |
| spellingShingle | Alvarez, I Mancari, A Ip, IB Parker, AJ Bridge, H Characterising human disparity tuning properties using population receptive field mapping |
| title | Characterising human disparity tuning properties using population receptive field mapping |
| title_full | Characterising human disparity tuning properties using population receptive field mapping |
| title_fullStr | Characterising human disparity tuning properties using population receptive field mapping |
| title_full_unstemmed | Characterising human disparity tuning properties using population receptive field mapping |
| title_short | Characterising human disparity tuning properties using population receptive field mapping |
| title_sort | characterising human disparity tuning properties using population receptive field mapping |
| work_keys_str_mv | AT alvarezi characterisinghumandisparitytuningpropertiesusingpopulationreceptivefieldmapping AT mancaria characterisinghumandisparitytuningpropertiesusingpopulationreceptivefieldmapping AT ipib characterisinghumandisparitytuningpropertiesusingpopulationreceptivefieldmapping AT parkeraj characterisinghumandisparitytuningpropertiesusingpopulationreceptivefieldmapping AT bridgeh characterisinghumandisparitytuningpropertiesusingpopulationreceptivefieldmapping |