Causal Discovery Analysis Reveals Insights into Psychosis Proneness, Brain Function, and Environmental Factors among Young Individuals

IF 2.1 4区 医学 Q3 CLINICAL NEUROLOGY
Tuba Sahin-Ilikoglu , Sisi Ma , Erich Kummerfeld , Eric Rawls , Hao Yang Tan , Timothea Toulopoulou
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引用次数: 0

Abstract

Experiencing mild symptoms of psychosis, like delusions and hallucinations, occurs sometimes in general, nonclinical populations, often termed psychosis proneness (PP), potentially part of the psychosis continuum. Understanding the neural and environmental factors contributing to PP in young individuals during critical developmental periods remains unclear. We aimed to explore these directional relationships using causal discovery analysis (CDA). Participants were 194 healthy adolescent and young adult twin and sibling pairs aged between 14–24 years. They completed comprehensive assessments evaluating sociodemographic status, environmental risk, general intelligence, self-schema, psychosis proneness score (PPS), and working memory (WM) performance during fMRI (37 variables). CDA, a novel machine learning algorithm, was applied to understand the causal relationships of PPS. The analysis identified negative self-schema as having the largest potential causal effect among all assessments in PPS. Secondly, experiencing low levels of social cohesion and trust had a potential causal effect on PPS. Although our analysis could not exclude the possibility that other unmeasured factors may confound these relationships, the effect sizes (ES) were substantial, negative self-schema & PPS (ES= 0.54) and social cohesion and trust & PPS (ES= -0.18). PPS, on the other hand, was identified as a direct cause of greater activation in DLPFC (ES= 0.12). CDA provided simultaneous directionality for 37 variables collected on the same individuals. The findings highlight the significance of negative self-schema and social cohesion and trust in the general population with PP, emphasizing the potential for preventive interventions targeting these factors. These findings also suggest a role for DLPFC as a potential target in this regard. This study represents the first data-driven analysis to model causal mechanisms in PP in the general population.
因果发现分析揭示了年轻人精神病易感性、脑功能和环境因素的见解
一般非临床人群有时会出现轻微的精神病症状,如妄想和幻觉,通常称为精神病倾向(PP),可能是精神病连续体的一部分。神经和环境因素对青少年关键发育时期PP的影响尚不清楚。我们的目的是利用因果发现分析(CDA)来探索这些方向关系。参与者是194对年龄在14-24岁之间的健康青少年和年轻成人双胞胎和兄弟姐妹。他们在fMRI期间完成了社会人口状况、环境风险、一般智力、自我图式、精神病倾向评分(PPS)和工作记忆(WM)表现的综合评估(37个变量)。应用一种新的机器学习算法CDA来理解PPS的因果关系。分析发现消极自我图式在PPS的所有评估中具有最大的潜在因果效应。其次,经历低水平的社会凝聚力和信任对PPS有潜在的因果影响。虽然我们的分析不能排除其他未测量因素可能混淆这些关系的可能性,但效应量(ES)是实质性的,消极的自我图式。PPS (ES= 0.54)对社会凝聚力和信任的影响;PPS (es = -0.18)。另一方面,PPS被认为是DLPFC更大激活的直接原因(ES= 0.12)。CDA为同一个体收集的37个变量提供了同时的方向性。研究结果强调了消极自我图式、社会凝聚力和信任对一般PP人群的重要性,强调了针对这些因素的预防性干预的潜力。这些发现也提示了DLPFC在这方面作为潜在靶点的作用。这项研究代表了第一个数据驱动的分析,以模拟一般人群中PP的因果机制。
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来源期刊
Psychiatry Research: Neuroimaging
Psychiatry Research: Neuroimaging 医学-精神病学
CiteScore
3.80
自引率
0.00%
发文量
86
审稿时长
22.5 weeks
期刊介绍: The Neuroimaging section of Psychiatry Research publishes manuscripts on positron emission tomography, magnetic resonance imaging, computerized electroencephalographic topography, regional cerebral blood flow, computed tomography, magnetoencephalography, autoradiography, post-mortem regional analyses, and other imaging techniques. Reports concerning results in psychiatric disorders, dementias, and the effects of behaviorial tasks and pharmacological treatments are featured. We also invite manuscripts on the methods of obtaining images and computer processing of the images themselves. Selected case reports are also published.
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