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Topographical Estimation of Visual Population Receptive Fields by fMRI
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Population receptive field size does not correspond to spatial frequency processing in scene-selective cortex.

Charlotte A Leferink1, Claudia Damiano2, Dirk B Walther2

  • 1Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH, United States.

Imaging Neuroscience (Cambridge, Mass.)
|February 2, 2026
PubMed
Summary
This summary is machine-generated.

Brain regions involved in scene perception, the parahippocampal place area (PPA) and occipital place area (OPA), show a gradient of receptive field sizes. This organization influences how spatial frequencies are processed for scene recognition.

Keywords:
PPAhigh-level visual cortexpopulation receptive fieldsscene representationspatial frequency decoding

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Area of Science:

  • Neuroscience
  • Visual Perception
  • Cognitive Science

Background:

  • Scene perception relies on processing visual information at various spatial frequencies.
  • Scene-selective brain areas, like the parahippocampal place area (PPA) and occipital place area (OPA), are traditionally associated with global scene features.
  • Recent findings suggest these areas also process fine-grained visual details, challenging previous notions.

Purpose of the Study:

  • To investigate the role of population receptive field (pRF) size in scene representation within the PPA and OPA.
  • To determine if pRF size variation explains the processing of different spatial frequencies in scene-selective cortex.
  • To explore how spatial frequency preferences and pRF size interact along the visual hierarchy.

Main Methods:

  • Utilized functional magnetic resonance imaging (fMRI) to measure brain activity in scene-selective areas.
  • Analyzed receptive field properties (size and spatial frequency tuning) of voxels within the PPA and OPA.
  • Employed spatial frequency-filtered images to decode scene categories and assess representations.

Main Results:

  • Both PPA and OPA exhibit a range of pRF sizes, with a gradient from larger in anterior to smaller in posterior regions.
  • Contrary to predictions based on pRF size gradients, anterior PPA/OPA showed preference for high spatial frequencies, and posterior regions for low spatial frequencies when decoding filtered images.
  • Scene feature representations undergo transformations along the visual hierarchy, deviating from the early visual system's spatial frequency-pRF size correspondence.

Conclusions:

  • The organization of pRF sizes in PPA and OPA does not directly predict spatial frequency processing in a simple manner.
  • Visual information processing in high-level scene-selective areas involves complex transformations that adapt feature representations.
  • Understanding these transformations is crucial for a comprehensive model of human scene perception.