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June 12, 2026Psychological MedicineOpen Access

Computerized assessments of emotional expression and emotional reactivity predict negative symptoms in individuals at clinical high-risk for psychosis

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Authors

CBClaire E. BertrandVPVictor PokornyJGJames M. Gold

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Overview

Randomized trial examines emotion factors predicting negative symptoms in individuals at clinical high-risk for psychosis, suggesting new assessment methods.

Key Points

  • This research aims to explore how emotional expression and reactivity predict negative symptoms in individuals at clinical high risk for psychosis.
  • Facial expressions quantified using automated facial analysis (FaceReader) during clinical interviews with 101 CHR individuals and 41 healthy controls.
  • Emotional reactivity assessed using the International Affective Picture System (IAPS).
  • Principal component analyses and correlation analyses examined relationships between emotions and negative symptoms.
  • CHR participants showed greater disgust expression than HCs (g = 0.40, uncorrected p = .0025, FDR-corrected p = .023).
  • Reduced high-arousal facial expressions were associated with greater emotional expressivity deficits (r = −.22, p = .027).
  • Happy facial expression explained additional variance in motivation symptoms beyond emotional reactivity (ΔR² = .089, p = .008).

Cite This Study

Bertrand et al. (2026) studied this question.

synapsesocial.com/papers/6a2ba4d68101cf8926f031fbhttps://doi.org/10.1017/s0033291726104826
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Also Consider

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