Evidence map›Paper›PMID 40840368›Full record

ArticleSchizophrenia bulletin2026

Eye Movement Abnormalities During the Gaze Perception Task in Individuals With Clinical High Risk for Psychosis: A Discriminant Analysis With Hidden Markov Models.

Harry Kam Hung Tsui, Yingqi Liao, Janet Hui-Wen Hsiao, Yi Nam Suen, Eric Wai Ching Yan, Lap-Tak Poon, Man Wah Siu, Christy Lai Ming Hui, Wing Chung Chang, Edwin Ho Ming Lee and 2 more

Abstract read
In one paragraph

Article in Schizophrenia bulletin, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Harry Kam Hung TsuiDepartment of Psychiatry, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.
Yingqi LiaoDepartment of Psychiatry, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.
Janet Hui-Wen HsiaoDivision of Social Science, Hong Kong University of Science & Technology, Hong Kong SAR, China.
Yi Nam SuenDepartment of Psychiatry, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.
Eric Wai Ching YanDepartment of Psychiatry, Kowloon Hospital, Hong Kong SAR, China.
Lap-Tak PoonDepartment of Psychiatry, United Christian Hospital, Hong Kong SAR, China.
Man Wah SiuDepartment of Psychiatry, Kowloon Hospital, Hong Kong SAR, China.
Christy Lai Ming HuiDepartment of Psychiatry, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.
Wing Chung ChangDepartment of Psychiatry, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.ORCID 0000-0002-3581-8895
Edwin Ho Ming LeeDepartment of Psychiatry, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.
Eric Yu Hai ChenDepartment of Psychiatry, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.
Sherry Kit Wa ChanDepartment of Psychiatry, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.ORCID 0000-0003-2712-5826

Funding

University Grants Committee 17112615University Research Committee, University of Hong Kong 200911159018
6 · The paper itself

Abstract

objectivesSocial cognitive impairments were well-documented in schizophrenia and individuals with clinical high risk for psychosis (CHR). While eye movement abnormalities during gaze perception in schizophrenia have been suggested, such understanding in individuals with CHR is limited. DESIGN, SETTINGS AND

participantsThis study recruited 36 CHR individuals and 50 healthy controls (HC) to perform a gaze perception task with eye-tracking techniques analyzed with hidden Markov models for predictability and pattern recognition. Eye movement variables and behavioral responses, self-referential gaze perception (SRGP) rates, were compared between groups and examined with discriminant analyses. Associations between eye movements and SRGP rates with multiple symptom dimensions and social functioning were examined.

resultsResults indicated that CHR group displayed nose-focused (vs eye-focused) and erratic eye movement patterns compared to HC. The combination of behavioral and eye movement variables exhibited a discriminatory ability of 0.893 area under the curve (AUC) in classifying CHR and HC, significantly outperforming models using either SRGP rates (AUC = 0.824) or eye movement variables (AUC = 0.781) alone. The combined model achieved high sensitivity (0.861) and specificity (0.820), with eyes-nose scale, fixation duration, and ambiguous SRGP rate emerging as the most discriminative features. Self-referential gaze perception rates were primarily associated with schizotypy and social anxiety, while eye movement patterns were mainly associated with delusional ideations and social functioning. CONCLUSIONS AND RELEVANCE: This study comprehensively examined eye movement patterns during gaze perception in CHR and their associations with clinical manifestations, suggesting the potential of visual attention patterns as both diagnostic biomarkers and therapeutic targets in the CHR population.

Indexed as

Eye MovementsFixation, OcularPsychotic DisordersSchizophreniaSocial PerceptionAdolescentAdultDiscriminant AnalysisEye Movement MeasurementsEye-Tracking TechnologyFemaleHidden Markov ModelsHumansMaleRiskYoung Adultclassificationclinical high risk for psychosiseye-trackergaze perceptionmachine learningself-referential biassocial cognition

Identifiers

PMID40840368
PMCPMC13391622

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.