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Feedback from human posterior parietal cortex enables visuospatial category representations as early as primary

Yanyan Li1,2, Xiaopeng Hu3, Yongqiang Yu3

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Summary

Flexible categorization relies on reentrant processing between the posterior parietal cortex (PPC) and visual cortex. This interaction allows the brain to abstract category information, even for fine-scale features.

Keywords:
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Area of Science:

  • Cognitive neuroscience
  • Neuroimaging
  • Visual perception

Background:

  • Categorization is a key cognitive function involving sensory stimulus interpretation.
  • Category representations are found in prefrontal cortex and posterior parietal cortex (PPC).
  • Mechanisms for flexible categorization using fine-scale features remain unclear.

Purpose of the Study:

  • To investigate the neural mechanisms of flexible categorization based on spatial information.
  • To decode functional MRI signals and measure causal influences in visual, parietal, and prefrontal cortex during categorization tasks.

Main Methods:

  • Functional MRI (fMRI) decoding of brain signals.
  • Measurement of causal influences between brain regions.
  • Categorization tasks using coarse- and fine-scale spatial information in healthy adults.

Main Results:

  • Coarse categorization information was represented in the PPC (IPS1/2) early in trials.
  • Fine-scale categorization information emerged later through interactions between IPS1/2 and primary visual cortex (V1).
  • IPS1/2 feedback to V1 was crucial for performance, and these mechanisms showed plasticity with retraining.

Conclusions:

  • Reentrant processing between the PPC and visual cortex supports flexible category abstraction.
  • This interaction is vital for integrating information across different spatial scales for categorization.