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A neurofunctional signature of subjective disgust generalizes to oral distaste and socio-moral contexts.

Xianyang GanFeng ZhouTing XuXiaobo LiuRan ZhangZihao ZhengXi YangXinqi ZhouFangwen YuJialin LiRuifang CuiLan WangJiajin YuanDezhong YaoBenjamin Becker
Published in: Nature human behaviour (2024)
While disgust originates in the hard-wired mammalian distaste response, the conscious experience of disgust in humans strongly depends on subjective appraisal and may even extend to socio-moral contexts. Here, in a series of studies, we combined functional magnetic resonance imaging with machine-learning-based predictive modelling to establish a comprehensive neurobiological model of subjective disgust. The developed neurofunctional signature accurately predicted momentary self-reported subjective disgust across discovery (n = 78) and pre-registered validation (n = 30) cohorts and generalized across core disgust (n = 34 and n = 26), gustatory distaste (n = 30) and socio-moral (unfair offers; n = 43) contexts. Disgust experience was encoded in distributed cortical and subcortical systems, and exhibited distinct and shared neural representations with subjective fear or negative affect in interoceptive-emotional awareness and conscious appraisal systems, while the signatures most accurately predicted the respective target experience. We provide an accurate functional magnetic resonance imaging signature for disgust with a high potential to resolve ongoing evolutionary debates.
Keyphrases
  • magnetic resonance imaging
  • machine learning
  • sleep quality
  • computed tomography
  • genome wide
  • gene expression
  • physical activity
  • risk assessment
  • contrast enhanced
  • big data
  • deep learning