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Updated: May 28, 2026

Conscious and Non-conscious Representations of Emotional Faces in Asperger's Syndrome
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Published on: July 31, 2016

Automated Facial Emotion Recognition System Detects Altered Emotional Processing During Craving Induction in

Joaquin García-Estrada1, Diana Emilia Martínez-Fernández2, Iris Del Socorro Pérez-Alcaraz3

  • 1Instituto de Neurociencias Traslacionales, Departamento de Neurociencias, Centro Universitario de Ciencias de la Salud (CUCS), Universidad de Guadalajara (UdeG), Sierra Mojada 950, Guadalajara 44340, Mexico.

Healthcare (Basel, Switzerland)
|May 27, 2026
PubMed
Summary

Individuals with Substance Use Disorder (SUD) show distinct facial emotion recognition patterns, including reduced positive responses and unique expressions during craving. These findings highlight emotional processing differences in SUD.

Keywords:
FERaddictioncravingemotional expressionssubstance use disorder

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Protocol for Data Collection and Analysis Applied to Automated Facial Expression Analysis Technology and Temporal Analysis for Sensory Evaluation
07:12

Protocol for Data Collection and Analysis Applied to Automated Facial Expression Analysis Technology and Temporal Analysis for Sensory Evaluation

Published on: August 26, 2016

Area of Science:

  • Neuroscience
  • Psychology
  • Computer Science

Background:

  • Substance Use Disorder (SUD) involves emotional dysregulation and altered reward processing.
  • Craving episodes in SUD are often linked to emotional states.
  • Automated facial emotion recognition offers a novel approach to study these states.

Purpose of the Study:

  • To investigate if emotional states during craving episodes in SUD can be detected via automated facial emotion recognition.
  • To compare facial emotion responses between individuals with SUD and healthy controls (HC) during emotional induction.

Main Methods:

  • Forty-one participants underwent ecological momentary assessment (EMA) for anxiety and craving.
  • An emotional induction task used standardized and addiction-related stimuli.
  • Facial expressions were analyzed using a real-time computational facial emotion recognition model.

Main Results:

  • Individuals with SUD showed significantly reduced positive emotional valence and activation compared to HC.
  • Differences were most pronounced in response to social interaction stimuli.
  • SUD participants displayed more fear-related and fewer disgust-related facial expressions.

Conclusions:

  • Substance Use Disorder is associated with altered emotional processing, including diminished responses to positive stimuli.
  • Facial emotion recognition may reveal unique expression patterns related to craving in SUD.
  • Findings require replication in larger, more homogeneous populations due to sample limitations.