Poster No:
1356
Submission Type:
Abstract Submission
Authors:
Liangyou Zhang1, Evi Hendrikx1, Yizhen Wang2, Surya Gayet1, Serge Dumoulin3, Ben Harvey1
Institutions:
1Utrecht University, Utrecht, The Netherlands, 2South China Normal University, Guangzhou, China, 3Spinoza Centre for Neuroimaging, Amsterdam, The Netherlands
First Author:
Co-Author(s):
Yizhen Wang
South China Normal University
Guangzhou, China
Surya Gayet
Utrecht University
Utrecht, The Netherlands
Serge Dumoulin
Spinoza Centre for Neuroimaging
Amsterdam, The Netherlands
Ben Harvey
Utrecht University
Utrecht, The Netherlands
Introduction:
Humans and many animals effortlessly perceive numerosity, the number of visual objects in an image. Numerosity perception is affected by adaptation (Burr & Ross, 2008): after viewing a particular adapter numerosity frequently or for a long time, other numerosities appear more different from this adapter than they are. Recent studies show two broad classes of neural responses to numerosity. First, parietal and frontal numerosity-tuned responses (Harvey et al., 2013; Nieder et al., 2002) show activation peaks at a specific (preferred) numerosity. We have recently shown that this preferred numerosity is affected by numerosity adaptation (Tsouli et al., 2021). Second, monotonic responses in the early visual cortex (DeWind et al., 2019; Park et al., 2015) increase in amplitude as numerosity increases. These monotonic responses are found in neural populations at the retinotopic location of the stimulus in early visual field maps (Paul et al., 2022). Furthermore, they follow spatial frequency domain image contrast more closely than they follow numerosity, though close relationships between contrast and numerosity may underlie numerosity's straightforward perception.
Here we ask whether effects of numerosity adaptation on perception and numerosity-tuned responses originate in early visual contrast representations.
Methods:
We used ultra-high field 7T fMRI to record responses to numerosity in early visual field maps V1-V3, hV4, LO1-2 and V3A/B. Participants viewed dot groups of gradually changing numerosity to map numerosity preferences. We repeated this under three different conditions. The low numerosity adaptation condition alternated this changing numerosity display with displays containing one item. The high numerosity adaptation condition alternated the changing numerosity with twenty items. In the control condition, every display contained the changing numerosity.
In each condition, we used a general linear model (GLM) to capture the responses to the changing numerosity, where each voxel's response is predicted by the spatial frequency domain contrast energy (i.e. Fourier power) of each display. This determines the amplitude of the monotonic response to increases in Fourier power as the slope (beta) of the relationship between the display's Fourier power and each voxel's response.
We used visual field mapping to determine which visual field map each voxel lay in and its preferred visual field position (Figure 1a-c). For each visual field map, we selected voxels responding within the numerosity stimulus area and showing a monotonically increasing response to Fourier power in the control condition. We tested whether the mean response slope differed between low and high numerosity adaptation conditions. We then compared, across visual field maps, the proportion by which the response slope decreased between the low and high adaptation conditions.
Results:
The monotonic response's amplitude (slope or beta in the GLM) reduced during adaptation to high numerosities, compared to adaptation to low numerosities, in all visual field maps (Figure 1d). This is consistent with perceptual effects where high numerosity adaptation decreases perceived numerosity. Furthermore, the proportion by which response amplitude decreased from the low to high numerosity adaptation conditions became progressively greater from earlier visual field maps (~30% decrease in V1) to later visual field maps (~70% decrease in V3A/B and LO2) (Figure 1e).
Conclusions:
These results imply that adaptation effects on numerosity-tuned neural populations' preferred numerosities, and on numerosity perception, may result from effects beginning in early visual contrast representations. These effects begin by V1 and increase through the visual processing hierarchy. Therefore, numerosity adaptation in part reflects early-stage adaptation to image contrast. However, the progressive increase in this effect suggests that adaptation may have further effects at later stages of numerosity processing.
Modeling and Analysis Methods:
Activation (eg. BOLD task-fMRI) 1
Multivariate Approaches
Perception, Attention and Motor Behavior:
Perception: Visual 2
Keywords:
Other - Numerosity adaptation, 7T fMRI, image contrast, visual cortex
1|2Indicates the priority used for review
Provide references using author date format
DeWind, N. K., Park, J., Woldorff, M. G., & Brannon, E. M. (2019). Numerical encoding in early visual cortex. Cortex, 114, 76–89.
Harvey, B. M., Klein, B. P., Petridou, N., & Dumoulin, S. O. (2013). Topographic Representation of Numerosity in the Human Parietal Cortex. Science, 341(6150), 1123–1126.
Nieder, A., Freedman, D. J., & Miller, E. K. (2002). Representation of the Quantity of Visual Items in the Primate Prefrontal Cortex. Science, 297(5587), 1708–1711.
Park, J., DeWind, N. K., Woldorff, M. G., & Brannon, E. M. (2015). Rapid and Direct Encoding of Numerosity in the Visual Stream. Cerebral Cortex, bhv017.
Paul, J. M., van Ackooij, M., ten Cate, T. C., & Harvey, B. M. (2022). Numerosity tuning in human association cortices and local image contrast representations in early visual cortex. Nature Communications, 13(1), 1340.
Tsouli, A., Cai, Y., van Ackooij, M., Hofstetter, S., Harvey, B. M., te Pas, S. F., van der Smagt, M. J., & Dumoulin, S. O. (2021). Adaptation to visual numerosity changes neural numerosity selectivity. NeuroImage, 229, 117794.