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Signposts in the Fog: Objects Facilitate Scene Representations in Left Scene-selective Cortex.

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Objects help us understand our surroundings, even in low visibility. The left parahippocampal place area (PPA) and occipital place area (OPA) use object cues to infer scene layout, while the right PPA/OPA processes visual features.

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Area of Science:

  • Cognitive Neuroscience
  • Neuroimaging
  • Visual Perception

Background:

  • The brain constructs internal representations of environments, even with limited visual information.
  • Object cues are crucial for disambiguating scenes, aiding in environmental understanding.
  • Previous research explored how scenes influence object perception; this study investigates the reverse.

Purpose of the Study:

  • To examine how objects facilitate the neural representation of scene layout.
  • To investigate the role of scene-selective areas in processing object-driven scene inferences.

Main Methods:

  • fMRI decoding was employed to analyze neural representations in scene-selective areas (parahippocampal place area [PPA] and occipital place area [OPA]).
  • Classifiers were trained on fully visible indoor and outdoor scenes.
  • Classifiers were tested on blurred scenes (difficult to categorize alone) with and without object cues to assess classification accuracy.

Main Results:

  • A significant improvement in scene classification was observed in the left PPA and OPA when objects were present in blurred scenes.
  • This facilitation occurred despite reduced low-level visual feature overlap between blurred and training stimuli.
  • Object-driven scene representation was specific to the left PPA/OPA, with no similar effect found in the right PPA/OPA or other visual areas.

Conclusions:

  • Left PPA/OPA plays a distinct role in representing inferred scene layout, utilizing contextual object information.
  • Right PPA/OPA appears primarily involved in processing the visual features of a scene.
  • Findings highlight lateralized functions within scene-selective cortex for scene representation and inference.