心理学
精神分裂症(面向对象编程)
认知
社会认知
精神分裂症谱
星团(航天器)
临床心理学
愉快
心理理论
心理干预
发展心理学
精神病
精神科
心理治疗师
计算机科学
程序设计语言
作者
Hannah Carling,Élisabeth Thibaudeau,Geneviève Sauvé,Danielle Penney,Katie M. Lavigne,Martín Lepage,Delphine Raucher‐Chéné
摘要
Abstract Negative symptoms and social cognition (SC) are intertwined in schizophrenia spectrum disorders (SSD) but the structure of this interaction is not yet fully understood. We employed cluster analyses to advance our understanding of the relationship between negative symptom severity and SC. We sought to identify discrete groups of patients as a function of two factors of negative symptoms—Motivation and Pleasure (MAP) and Expressivity (EXP) – and two domains of SC: emotion recognition (ER) and theory of mind (ToM). We conducted two cluster analyses to determine data-driven subgroups using two independent samples of SSD participants. The first conducted with an open dataset (n = 296) and the second with a local sample (n = 138), to assess replicability. The first cluster analysis revealed a 3-cluster solution. Both analyses highlighted distinct profiles: a ‘Relatively Preserved’ Profile; a ‘Combined Impairment’ profile, with high negative symptoms and impaired ER and ToM; and a ‘MAP’ profile, with high MAP symptoms, some EXP symptoms, and slightly to moderately impaired ER and ToM. Reducing the heterogeneity in clinical presentations of SSD patients on these dimensions of negative symptoms and social cognition provides relevant information that could contribute to a more effective selection of interventions.
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