Intersession reliability of population receptive field estimates

Dijk, Jelle A. van; Haas, Benjamin de; Moutsiana, Christina; Schwarzkopf, D. Samuel

doi:10.1016/j.neuroimage.2016.09.013

Cited by 57 publications

(83 citation statements)

References 48 publications

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“…Functional magnetic resonance imaging was employed to quantify spatial parameters of the pRFs, by eliciting a wave of visual excitation along the visual cortex (Engel, 1997;Engel et al, 1994). Using a variety of stimulation protocols (Dumoulin & Wandell, 2008;Greene, Dumoulin, Harvey, & Ress, 2014;Sereno et al, 1995) and estimation methods (direct fit, topographic fit), the spatial pRF properties such as of location and size (Amano, Wandell, & Dumoulin, 2009;Zuiderbaan, Harvey, & Dumoulin, 2012) could be estimated throughout the visual system with a high degree of intrasubject reliability (van Dijk, de Haas, Moutsiana, & Schwarzkopf, 2016).…”

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confidence: 99%

Modulating the global orientation bias of the visual system changes population receptive field elongations

Merkel

Hopf

Schoenfeld

2019

Human Brain Mapping

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The topographical structure of the visual system in individual subjects can be visualized using fMRI. Recently, a radial bias for the long axis of population receptive fields (pRF) has been shown using fMRI. It has been theorized that the elongation of receptive fields pointing toward the fovea results from horizontal local connections bundling orientation selective units mostly parallel to their polar position within the visual field. In order to investigate whether there is a causal relationship between orientation selectivity and pRF elongation the current study employed a global orientation adapter to modulate the orientation bias for the visual system while measuring spatial pRF characteristics. The hypothesis was that the orientation tuning change of neural populations would alter pRF elongations toward the fovea particularly at axial positions parallel and orthogonal to the affected orientation. The results indeed show a different amount of elongation of pRF units and their orientation at parallel and orthogonal axial positions relative to the adapter orientation. Within the lower left hemifield, pRF radial bias and elongation showed an increase during adaptation to a 135° grating while both parameters decreased during the presentation of a 45° adapter stimulus. The lower right visual field showed the reverse pattern. No modulation of the pRF topographies were observed in the upper visual field probably due to a vertical visual field asymmetry of sensitivity toward the low contrast spatial frequency pattern of the adapter stimulus. These data suggest a direct relationship between orientation selectivity and elongation of population units within the visual cortex.

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confidence: 99%

Modulating the global orientation bias of the visual system changes population receptive field elongations

Merkel

Hopf

Schoenfeld

2019

Human Brain Mapping

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“…The pRF center position and size were expressed in dva. The estimation procedure was identical to our previous studies (Moutsiana et al, 2016; van Dijk et al, 2016). The resulting parameter maps were modestly smoothed with a spherical Gaussian kernel (FWHM = 3 mm; for experiment-specific smoothing procedures of pRF and response data, see 3.1.7 Data analysis).…”

Section: Methodsmentioning

confidence: 99%

Topographic Signatures of Global Object Perception in Human Visual Cortex

Stoll

Finlayson

Schwarzkopf

2019

Preprint

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Our visual system readily groups dynamic fragmented input into global objects. How the brain represents such perceptual grouping remains however unclear. To address this question, we recorded brain responses using functional magnetic resonance imaging whilst observers perceived a dynamic bistable stimulus that could either be perceived globally (i.e., as a grouped and coherently moving shape) or locally (i.e., as ungrouped and incoherently moving elements). We further estimated population receptive fields and used these to back-project the brain activity during stimulus perception into visual space via a searchlight procedure. Global perception resulted in non-topographic suppression of responses in lower visual cortex accompanied by wide-spread enhancement in higher object-sensitive cortex. However, follow-up experiments indicated that higher object-sensitive cortex is suppressed if global perception lacks shape grouping, and that grouping-related suppression can be diffusely confined to stimulated sites once stimulus size is reduced. These results speak against a rigid between-area response amplitude code acting as a generic grouping mechanism and point to a within-area response amplitude code mediating the perception of figure and ground.

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“…The pRF parameters at each vertex were fit using a two-stage procedure. First, we applied a coarse fit which involved an extensive grid search by correlating the actually observed time series against a set of 7650 predicted time series derived from a combination of x 0 , y 0 , and  covering the plausible range for each parameter (see van Dijk et al, 2016). The parameters giving rise to the maximal correlation were then retained for the second stage, the fine fit, provided the squared correlation, R 2 , exceeded 0.01.…”

Section: Prf Modellingmentioning

confidence: 99%

“…The indirect nature of estimating pRFs from fMRI data suggests therefore that there could be considerable variability in derived measurements. Direct test-retest evaluations with the same experimental setup have shown that pRF mapping experiments are robust and repeatable (Senden et al, 2014;van Dijk et al, 2016;Benson et al, 2018). However, for different experimental setups, for instance, in terms of the magnetic field strength and the particular pulse sequence used to acquire fMRI data the comparability has not been assessed.…”

Section: Introductionmentioning

confidence: 99%

“…This measure however strongly depends on the temporal resolution of the signal acquisition. In our recent experiments we have used an accelerated multiband sequence with 1 s TR (Moutsiana et al, , 2018van Dijk et al, 2016;de Haas and Schwarzkopf, 2018;Hughes et al, 2019). At this temporal resolution, there is a considerable contribution of high-frequency noise to the signal (Figure 1).…”

Section: Introductionmentioning

confidence: 99%

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Comparison of human population receptive field estimates between scanners and the effect of temporal filtering

Morgan

Schwarzkopf

2019

Preprint

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PrecisPopulation Receptive Field mapping performed with similar protocols at two different sites, a 1.5T MRI scanner in London, and a 3T scanner in Auckland, yielded comparable results.Temporal filtering of the fMRI time course increased concordance of modelled pRFs, but introduced a bias in pRF size. AbstractPopulation receptive field (pRF) analysis with functional magnetic resonance imaging (fMRI)is an increasingly popular method for mapping visual field representations and estimating the spatial selectivity of voxels in human visual cortex. However, the multitude of experimental setups and processing methods used makes comparisons of results between studies difficult. Here, we show that pRF maps acquired in the same three individuals using comparable scanning parameters on a 1.5 and a 3 Tesla scanner located in two different countries are very similar. As expected, the signal-to-noise ratio for the 3 Tesla data was superior; critically, however, estimates of pRF size and cortical magnification did not reveal any systematic differences between the sites. Moreover, we tested the effect of low-pass filtering of the time series on pRF estimates. Unsurprisingly, filtering enhanced goodness-offit, presumably by removing high-frequency noise. However, there was no substantial increase in the number of voxels containing meaningful retinotopic signals after low-pass filtering. Importantly, filtering also increased estimates of pRF size in the early visual areas which could substantially skew interpretations of spatial tuning properties. Our results therefore suggest that pRF estimates are generally comparable between scanners of different field strengths, but temporal filtering should be used with caution.

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Intersession reliability of population receptive field estimates

Cited by 57 publications

References 48 publications

Modulating the global orientation bias of the visual system changes population receptive field elongations

Modulating the global orientation bias of the visual system changes population receptive field elongations

Topographic Signatures of Global Object Perception in Human Visual Cortex

Comparison of human population receptive field estimates between scanners and the effect of temporal filtering

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