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Area of Science:

  • Neuroscience
  • Cognitive Neuroscience
  • Affective Neuroscience

Background:

  • The role of cortical structures in subconscious processing of salient stimuli remains debated.
  • Existing hypotheses include the 'low-road' (subcortical) and 'many-roads' (cortical involvement) models.
  • Understanding these pathways is key to deciphering rapid threat detection mechanisms.

Purpose of the Study:

  • To investigate the extent of cortical involvement in subconscious processing of fearful stimuli.
  • To compare the predictive information contained in different functional connectivity (FC) patterns (cortical-cortical, cortical-subcortical, subcortical-subcortical).
  • To identify specific FC networks that decode subliminal fear perception.

Main Methods:

  • Utilized whole-brain functional connectivity (FC) analysis.
  • Employed machine learning classifiers trained on data from separate subject groups.
  • Examined classification accuracy based on the number of selected FC features.

Main Results:

  • Cortical-cortical and cortical-subcortical FC contained significantly more information for predicting subliminal fearful face processing than subcortical-subcortical FC.
  • Achieved 92% classification accuracy using the top 8 FC features.
  • Identified increased FC between the right amygdala and precuneus during subliminal fear, alongside decreased amygdala FC, suggesting bilateral decoupling.

Conclusions:

  • Cortical structures are actively engaged and essential for subconscious processing of fear.
  • Specific FC patterns, particularly involving the amygdala, precuneus, angular gyrus, middle temporal gyrus, and cerebellum, decode subliminal affective stimuli.
  • Findings support a more extensive role for the cortex in rapid, subconscious threat evaluation than previously assumed.