Lewandowski Kathryn E, Luo Jintian, Yao Beier, Whitton Alexis E
Schizophrenia and Bipolar Disorder Program, McLean Hospital, Belmont, MA, United States.
Department of Psychiatry, Harvard Medical School, Boston, MA, United States.
Front Psychiatry. 2025 May 21;16:1485460. doi: 10.3389/fpsyt.2025.1485460. eCollection 2025.
Motivational impairments are a hallmark symptom of psychotic disorders. However, motivation is a multidimensional construct believed to be underpinned by different neural mechanisms and differentially impaired both between and within diagnostic groups. We used a data driven approach to identify different motivational profiles in people with psychosis.
Participants (n=242) included people with a diagnosis of a DSM-V schizophrenia spectrum disorder (SSD; n=95), mood disorder with psychosis (MDP; n=95), and healthy controls (n=52). Participants were assessed using the Behavioral Inhibition/Behavioral Activation Scales (BIS/BAS), measures of clinical symptoms, assessments of hedonic capacity (anticipatory and consummatory pleasure; TEPS), and a behavioral task of effort expenditure for reward. The four BIS/BAS subscales from the patient groups were normed to the controls and entered first into a hierarchical cluster analysis, and then into K-means cluster analysis for the final cluster solution.
A four-cluster solution best fit data, reflecting: a High Avoidance group (n=56); a High Approach group (n=66); a Low Approach/High Avoidance group (n=26); and a Low Approach group (n=35). Diagnostic groups were represented in each cluster. Clusters differed on depression and anxiety severity on both interview-based and self-report measures, as well as on anticipatory and consummatory pleasure. Contrary to our hypothesis, groups did not differ on a measure of community functioning.
These findings suggest that aspects of approach and avoidance motivation may be both uniquely and additively associated with anxiety, depression, and hedonic experiences. Characterization of motivational profiles may help parse heterogeneity in motivation and predict other important aspects of illness.
动机障碍是精神障碍的标志性症状。然而,动机是一个多维度的概念,被认为由不同的神经机制所支撑,并且在不同诊断组之间以及诊断组内部存在不同程度的损害。我们采用数据驱动的方法来识别精神病患者的不同动机特征。
参与者(n = 242)包括被诊断为DSM - V精神分裂症谱系障碍(SSD;n = 95)、伴有精神病性症状的心境障碍(MDP;n = 95)的患者以及健康对照者(n = 52)。使用行为抑制/行为激活量表(BIS/BAS)、临床症状测量、享乐能力评估(预期性和满足性愉悦;TEPS)以及一项为获取奖励而付出努力的行为任务对参与者进行评估。将患者组的四个BIS/BAS分量表按照对照者进行标准化,首先进行层次聚类分析,然后进行K均值聚类分析以得到最终的聚类结果。
一个四类聚类结果最符合数据,分别为:高回避组(n = 56);高趋近组(n = 66);低趋近/高回避组(n = 26);以及低趋近组(n = 35)。每个聚类中均有不同诊断组的代表。基于访谈和自我报告的测量结果显示,各聚类在抑郁和焦虑严重程度以及预期性和满足性愉悦方面存在差异。与我们的假设相反,各聚类在社区功能测量方面没有差异。
这些发现表明,趋近和回避动机的各个方面可能既与焦虑、抑郁和享乐体验独特相关,又存在累加关系。动机特征的刻画可能有助于剖析动机的异质性,并预测疾病的其他重要方面。