2020
DOI: 10.1016/j.neuroimage.2020.117250
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Foveal pRF properties in the visual cortex depend on the extent of stimulated visual field

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Cited by 14 publications
(20 citation statements)
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“…The width of the bar subtended 1/4th (3.45 • ) of the stimulus radius (13.8 • ). The spatial and temporal properties of the stimulus have been described in Prabhakaran et al (Prabhakaran et al, 2020). The duration of each pRF mapping scan was 192 s and the scan was repeated 6 times for the patient cohort and 4 times for the controls.…”
Section: Visual Stimulationmentioning
confidence: 99%
“…The width of the bar subtended 1/4th (3.45 • ) of the stimulus radius (13.8 • ). The spatial and temporal properties of the stimulus have been described in Prabhakaran et al (Prabhakaran et al, 2020). The duration of each pRF mapping scan was 192 s and the scan was repeated 6 times for the patient cohort and 4 times for the controls.…”
Section: Visual Stimulationmentioning
confidence: 99%
“…The width of the bar subtended 1/4 th (3.45°) of the stimulus radius (13.8°). The spatial and temporal properties of the stimulus have been described in Prabhakaran et al (Prabhakaran et al, 2020). The duration of each pRF mapping scan was 192 s and the scan was repeated 6 times for the patient cohort and 4 times for the controls.…”
Section: Visual Stimulationmentioning
confidence: 99%
“…We defined the borders of primary (V1) and extra-striate visual cortex (V2 & V3) for each participant using fMRI-based pRF-mapping data. Employing a 2D-Gaussian pRF model approach described previously (Dumoulin and Wandell, 2008;Prabhakaran et al, ሻ measures were derived from these position parameters. Polar angle estimates were projected onto an inflated cortical surface and the visual areas were delineated by following the phase reversals in the polar angle data (Sereno et al, 1995).…”
Section: Visual Area Delineationmentioning
confidence: 99%
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“…It is made available under a preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in The copyright holder for this this version posted December 15, 2020. ; https://doi.org/10.1101/2020.12.15.422942 doi: bioRxiv preprint 2008), where we estimate pRF position and size for each voxel in the brain under a Baseline condition as well as a condition of Interest (see Figure 1 for a single pRF). We can think of the Interest and Baseline conditions as repeat data (e.g., Benson et al, 2018;van Dijk, de Haas, Moutsiana, & Schwarzkopf, 2016), different attention conditions (e.g, de Haas, Schwarzkopf, Anderson, & Rees, 2014;Klein, Harvey, & Dumoulin, 2014;van Es, Theeuwes, & Knapen, 2018;Vo, Sprague, & Serences, 2017), mapping sequences (e.g., Binda, Thomas, Boynton, & Fine, 2013;Infanti & Schwarzkopf, 2020), mapping stimuli (e.g., Alvarez, de Haas, Clark, Rees, & Samuel Schwarzkopf, 2015;Binda et al, 2013;Le, Witthoft, Ben-Shachar, & Wandell, 2017;Yildirim, Carvalho, & Cornelissen, 2018), scotoma conditions (e.g., Barton & Brewer, 2015;Binda et al, 2013;Haak, Cornelissen, & Morland, 2012;Prabhakaran et al, 2020), pRF modeling techniques (e.g., Carvalho et al, 2020) or uni-and multisensory conditions (Holmes, 2009) -to name but a few examples. As a pRF model, we adopt a 2D Gaussian, where pRF position represents the center of a pRF in visual space (the center of the Gaussian) and pRF size its spatial extent (the standard deviation of the Gaussian; see Figure 1).…”
mentioning
confidence: 99%