Karamaouna Penny, Zouraraki Chrysoula, Economou Elias, Bitsios Panos, Giakoumaki Stella G
Laboratory of Neuropsychology, Department of Psychology, School of Social Sciences, Gallos University campus, University of Crete, Rethymno 74100, Greece.
University of Crete Research Center for the Humanities, the Social and Education Sciences (UCRC), Gallos University campus, University of Crete, Rethymno 74100, Greece.
Arch Clin Neuropsychol. 2025 Jul 25;40(5):965-976. doi: 10.1093/arclin/acae123.
The present study aimed to examine facial emotion recognition in a sample from the general population with elevated schizotypal traits, as defined by the four-factor model of schizotypy, and the association of facial emotion recognition and the schizotypal dimensions with psychological well-being.
Two hundred and thirty-eight participants were allocated into four schizotypal groups and one control group. Following a cross-sectional study design, facial emotion recognition was assessed with a computerized task that included images from the Radboud Faces Database, schizotypal traits were measured with the Schizotypal Personality Questionnaire, and psychological well-being was evaluated with the Flourishing scale.
The results revealed distinct patterns of performance across the schizotypal groups and the application of a dimensional approach that included all participants as one group indicated specific associations between the four schizotypal dimensions and psychological well-being. Specifically, (a) negative schizotypes showed poor identification of sadness and fear potentially due to the activation of coping mechanisms, (b) disorganized schizotypes inaccurately recognized surprise, possibly reflecting the effects of disorganized thought on distinguishing this ambiguous emotion, and (c) psychological well-being was predicted by high cognitive-perceptual along with low negative and disorganized schizotypy as well as the accurate recognition of specific emotional states that are common in daily social interactions.
In conclusion, the study findings further advance the identification of emotion-processing difficulties in schizophrenia-vulnerable individuals and further highlight the need for highly personalized early intervention strategies.
本研究旨在考察具有分裂型人格特质（由分裂型人格的四因素模型定义）的普通人群样本中的面部情绪识别，以及面部情绪识别和分裂型人格维度与心理健康的关联。
238名参与者被分为四个分裂型人格组和一个对照组。按照横断面研究设计，使用一项计算机化任务评估面部情绪识别，该任务包含来自拉德堡德面部数据库的图像，使用分裂型人格问卷测量分裂型人格特质，并用蓬勃发展量表评估心理健康。
结果揭示了各分裂型人格组不同的表现模式，采用将所有参与者作为一个组的维度分析方法表明，四个分裂型人格维度与心理健康之间存在特定关联。具体而言，（a）消极分裂型可能由于应对机制的激活而难以识别悲伤和恐惧，（b）紊乱分裂型不能准确识别惊讶，这可能反映了紊乱思维对区分这种模糊情绪的影响，（c）高认知 - 感知、低消极和紊乱分裂型人格特质以及准确识别日常社交互动中常见的特定情绪状态可预测心理健康。
总之，研究结果进一步推进了对精神分裂症易感个体情绪加工困难的识别，并进一步强调了高度个性化早期干预策略的必要性。
