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A comprehensive EEG dataset for investigating visual touch perception.

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This study introduces a new dataset of electroencephalography (EEG) and self-report data to explore visual touch perception. The findings reveal distinct neural patterns related to visual, sensory, and emotional touch dimensions.

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Area of Science:

  • Neuroscience
  • Psychology
  • Cognitive Science

Background:

  • Visual touch perception is crucial for body awareness and social connection.
  • Limited public datasets hinder research into the neural underpinnings of visual touch.
  • Existing research often lacks comprehensive neural and self-report measures.

Purpose of the Study:

  • To present a novel, comprehensive dataset for visual touch perception research.
  • To facilitate the investigation of neural correlates of visual touch processing.
  • To explore individual differences in visual touch perception using electroencephalography (EEG) and self-report measures.

Main Methods:

  • Collected electroencephalography (EEG) data from 80 participants.
  • Participants viewed 90 unique videos of touch interactions (direct skin contact or object-mediated).
  • Acquired self-report data on empathy, perspective-taking, vicarious touch, and mirror-touch synaesthesia.

Main Results:

  • Technical validation identified distinct neural patterns for visual, sensory, and emotional touch dimensions.
  • The dataset includes 2,880 trials per participant, covering various perspectives and hand laterality.
  • Neural responses varied based on viewing perspective and hand laterality.

Conclusions:

  • The presented dataset is a valuable resource for advancing research in visual touch perception.
  • Distinct neural signatures correspond to different aspects of experiencing touch visually.
  • This resource supports exploration of individual differences and neural mechanisms in visual touch perception.