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Continuous Theta Burst Stimulation of the Posterior Medial Frontal Cortex to Experimentally Reduce Ideological Threat Responses
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Cognitive networks detect structural patterns and emotional complexity in suicide notes.

Massimo Stella1, Trevor J Swanson2, Ying Li3,4

  • 1CogNosco Lab, Department of Computer Science, University of Exeter, Exeter, United Kingdom.

Frontiers in Psychology
|December 26, 2022
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Summary

Suicide notes reveal surprisingly positive emotions and complex emotional transitions. Analysis shows these narratives are more emotionally complex than those of healthy individuals.

Keywords:
cognitive network sciencecomplex networksdata scienceemotional profilingpsycholinguisticstext analysis

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Area of Science:

  • Psychology
  • Network Science
  • Computational Linguistics

Background:

  • Communicating complex relationships between concepts and emotions is key to understanding human mindset.
  • Suicide notes, though from a negative context, offer a unique window into emotional expression.

Purpose of the Study:

  • To reconstruct conceptual associations and analyze emotional transitions in suicide notes using network science.
  • To compare the emotional complexity of suicide notes with emotional recalls from healthy individuals.

Main Methods:

  • Network science and word co-occurrence analysis of 139 suicide notes.
  • Emotional profiling and analysis of emotional transitions using the Emotional Recall Task.
  • Introduction of emotional complexity, an affective analog of structural balance theory.

Main Results:

  • Suicide notes exhibit surprising positive valence despite their context.
  • Ending statements in suicide notes are more emotional, eliciting deeper fear/sadness and stronger joy/trust/anticipation.
  • Authors of suicide notes display higher emotional complexity and more frequent shifts between contrasting emotional states than healthy individuals.

Conclusions:

  • Suicide notes possess highly structured and contrastive emotional narratives.
  • Emotional complexity in suicide notes is greater than in healthy populations and random models.
  • The study highlights the intricate emotional landscape within suicide narratives.