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数据驱动的全脑连接组学分析确定了恐惧和焦虑的精神病特异性大脑相关物。

Data-driven, connectome-wide analysis identifies psychosis-specific brain correlates of fear and anxiety.

机构信息

Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN, USA.

Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, USA.

出版信息

Mol Psychiatry. 2024 Sep;29(9):2601-2610. doi: 10.1038/s41380-024-02512-w. Epub 2024 Mar 19.

Abstract

Decades of psychosis research highlight the prevalence and the clinical significance of negative emotions, such as fear and anxiety. Translational evidence demonstrates the pivotal role of the amygdala in fear and anxiety. However, most of these approaches have used hypothesis-driven analyses with predefined regions of interest. A data-driven analysis may provide a complimentary, unbiased approach to identifying brain correlates of fear and anxiety. The aim of the current study was to identify the brain basis of fear and anxiety in early psychosis and controls using a data-driven approach. We analyzed data from the Human Connectome Project for Early Psychosis, a multi-site study of 125 people with psychosis and 58 controls with resting-state fMRI and clinical characterization. Multivariate pattern analysis of whole-connectome data was used to identify shared and psychosis-specific brain correlates of fear and anxiety using the NIH Toolbox Fear-Affect and Fear-Somatic Arousal scales. We then examined clinical correlations of Fear-Affect scores and connectivity patterns. Individuals with psychosis had higher levels of Fear-Affect scores than controls (p < 0.05). The data-driven analysis identified a cluster encompassing the amygdala and hippocampus where connectivity was correlated with Fear-Affect score (p < 0.005) in the entire sample. The strongest correlate of Fear-Affect was between this cluster and the anterior insula and stronger connectivity was associated with higher Fear-Affect scores (r = 0.31, p = 0.0003). The multivariate pattern analysis also identified a psychosis-specific correlate of Fear-Affect score between the amygdala/hippocampus cluster and a cluster in the ventromedial prefrontal cortex (VMPFC). Higher Fear-Affect scores were correlated with stronger amygdala/hippocampal-VMPFC connectivity in the early psychosis group (r = 0.33, p = 0.002), but not in controls (r = -0.15, p = 0.28). The current study provides evidence for the transdiagnostic role of the amygdala, hippocampus, and anterior insula in the neural basis of fear and anxiety and suggests a psychosis-specific relationship between fear and anxiety symptoms and amygdala/hippocampal-VMPFC connectivity. Our novel data-driven approach identifies novel, psychosis-specific treatment targets for fear and anxiety symptoms and provides complimentary evidence to decades of hypothesis-driven approaches examining the brain basis of threat processing.

摘要

几十年来的精神病学研究强调了负面情绪(如恐惧和焦虑)的普遍性和临床意义。转化证据表明杏仁核在恐惧和焦虑中的关键作用。然而,这些方法大多使用了具有预定义感兴趣区域的假设驱动分析。数据驱动的分析可能提供了一种识别恐惧和焦虑的大脑相关性的补充、无偏方法。本研究的目的是使用数据驱动的方法来确定早期精神病和对照组中恐惧和焦虑的大脑基础。我们分析了来自人类精神病早期连接体项目的多站点研究的数据,该研究共纳入了 125 名精神病患者和 58 名对照组,使用静息态 fMRI 和临床特征进行了研究。使用 NIH 工具包恐惧影响和恐惧躯体唤醒量表对全连接体数据进行多元模式分析,以确定恐惧和焦虑的共享和精神病特异性大脑相关性。然后,我们检查了恐惧影响评分和连接模式的临床相关性。精神病患者的恐惧影响评分高于对照组(p<0.05)。数据驱动的分析确定了一个包含杏仁核和海马体的聚类,在整个样本中,该聚类的连接与恐惧影响评分相关(p<0.005)。与恐惧影响评分相关性最强的是这个聚类与前岛叶之间的连接,更强的连接与更高的恐惧影响评分相关(r=0.31,p=0.0003)。多元模式分析还确定了杏仁核/海马体聚类与腹内侧前额叶皮层(VMPFC)之间恐惧影响评分的精神病特异性相关性。在早期精神病组中,更高的恐惧影响评分与更强的杏仁核/海马体-VMPFC 连接相关(r=0.33,p=0.002),但在对照组中没有相关(r=-0.15,p=0.28)。本研究提供了杏仁核、海马体和前岛叶在恐惧和焦虑神经基础中转诊断作用的证据,并表明恐惧和焦虑症状与杏仁核/海马体-VMPFC 连接之间存在特定于精神病的关系。我们新颖的数据驱动方法确定了恐惧和焦虑症状的新型、特定于精神病的治疗靶点,并为几十年来检查威胁处理大脑基础的假设驱动方法提供了补充证据。

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