Pena-Garijo Josep, Lacruz Maria, Masanet Maria Jose, Palop-Grau Ana, Plaza Rut, Hernandez-Merino Ana, Edo-Villamon Silvia, Valllina Oscar
Mental Health Centre Font de Sant Lluis, University Hospital Doctor Peset, 30 Arabista Ambrosio Huici, Valencia 46013, Spain.
Mental Health Centre Font de Sant Lluis, University Hospital Doctor Peset, 30 Arabista Ambrosio Huici, Valencia 46013, Spain.
Psychiatry Res. 2023 Feb;320:115029. doi: 10.1016/j.psychres.2022.115029. Epub 2022 Dec 25.
Our study aimed to explore the recognition of specific emotions across the course of psychosis. A visual task representing the six basic emotions was used to assess facial emotion recognition (FER) in 204 healthy controls classified into 152 low-risk (LR) and 52 high-risk for psychosis (HR), following a psychometric risk approach; and 100 patients: 44 with first-episode psychosis (FEP) and 56 with multi-episode schizophrenia-spectrum disorders (MES). First, we performed a MANCOVA to compare the four conditions. Next, we conducted a logistic regression to explore whether specific FER deficits predicted the presence of psychosis. Finally, we investigated the relationships of FER with psychosis-like experiences (PLEs) and psychotic symptoms. Global FER, anger and fear recognition were impaired in HR, FEP and MES. No differences between HR and FEP appeared. Moreover, fear and anger correctly classified 83% of individuals into LR or psychosis. FER was associated with PLEs and psychotic symptoms. Concluding, FER is early impaired in HR individuals and increases along the psychosis continuum. However, fear recognition is similarly impaired throughout the illness, suggesting a possible vulnerability marker. Furthermore, deficits in anger and fear recognition predicted the presence of psychosis. Therefore, we suggest that FER may be essential in detecting psychosis risk.
我们的研究旨在探索整个精神病病程中对特定情绪的识别情况。采用一项呈现六种基本情绪的视觉任务，按照心理测量风险方法，对204名健康对照者进行面部情绪识别（FER）评估，这些对照者分为152名低风险（LR）和52名精神病高风险（HR）个体；同时对100名患者进行评估：44名首发精神病（FEP）患者和56名多发作精神分裂症谱系障碍（MES）患者。首先，我们进行了多变量协方差分析以比较这四种情况。接下来，我们进行逻辑回归分析以探索特定的FER缺陷是否能预测精神病的存在。最后，我们研究了FER与类精神病体验（PLEs）及精神病症状之间的关系。HR、FEP和MES组的整体FER、愤怒和恐惧识别能力受损。HR组和FEP组之间未出现差异。此外，恐惧和愤怒能将83%的个体正确分类为LR或精神病患者。FER与PLEs和精神病症状相关。结论是，HR个体的FER早期受损，并在精神病连续谱中加重。然而，在整个疾病过程中恐惧识别的受损情况相似，提示其可能是一个易感性标志物。此外，愤怒和恐惧识别缺陷可预测精神病的存在。因此，我们认为FER可能对检测精神病风险至关重要。
