成人情绪和焦虑症患者自杀倾向的神经连接组

Richard A. Bryant, Isabella A. Breukelaar, Thomas Williamson, Kim Felmingham, Leanne M. Williams, Mayuresh S. Korgaonkar
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引用次数: 0

摘要

虽然自杀风险是一个重大的公共卫生问题,但由于样本量较小,且主要集中在特定的精神疾病上,因此了解自杀倾向的神经基础的尝试受到了限制。该样本由 579 名参与者组成,其中 428 人患有精神障碍(抑郁症、焦虑症或压力相关障碍),151 人为非精神病对照组。所有参与者都接受了结构化临床访谈,包括对过去一个月自杀倾向的评估,并完成了功能磁共振成像扫描。有238人(41.1%)符合自杀标准,341人(58.9%)无自杀倾向。研究人员计算了436个大脑区域的任务衍生功能连接性,其中包括8个内在连接性网络。有自杀倾向的参与者在86个脑区的143个连接网络中的连接性下降。这种模式的主要特点是视觉、躯体运动和显著性网络内部以及这些网络之间的连接性降低,同时与默认模式和边缘网络的连接性也降低。这项研究采用了跨诊断方法,对大量情绪障碍、焦虑和压力患者以及非精神病患者进行了研究,突出强调了作为自杀倾向特征的低连接性,并指出涉及情绪、感觉和认知过程的关键网络内部和之间的连接性发生了改变,而这些过程与自杀风险有牵连。在这项研究中,作者采用了一种跨诊断方法来评估有精神病诊断和没有精神病诊断的个体的功能连接性,结果显示默认模式、视觉和边缘系统的连接性低下与自杀倾向有关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

The neural connectome of suicidality in adults with mood and anxiety disorders

The neural connectome of suicidality in adults with mood and anxiety disorders
Although suicide risk is a major public health issue, attempts to understand the neural basis of suicidality have been limited by small sample sizes and a focus on specific psychiatric disorders. This sample comprised 579 participants, of whom 428 had a psychiatric disorder (depression, anxiety or stress-related disorder) and 151 were non-psychiatric controls. All participants underwent structured clinical interviews, including an assessment of suicidality in the past month, and completed a functional magnetic resonance imaging scan. There were 238 (41.1%) participants who met criteria for suicidality and 341 (58.9%) were non-suicidal. Task-derived functional connectivity was calculated for 436 brain regions, comprising 8 intrinsic connectivity networks. Participants who were suicidal had decreased connectivity in a network of 143 connections across 86 brain regions. This pattern was characterized primarily by decreased connectivity within the visual, somatomotor and salience networks, between these networks, and also with the default mode and limbic networks. By adopting a transdiagnostic approach with a very large sample of individuals with mood disorders, anxiety and stress and non-psychiatric participants, this study highlights the hypoconnectivity that characterizes suicidality and points to altered connectivity within and between key networks involved in emotional, sensory and cognitive processes that are implicated in suicidal risk. In this study, the authors use a transdiagnostic approach to assess functional connectivity in individuals with and without a psychiatric diagnosis, showing hypoconnectivity in the default mode, visual and limbic systems associated with suicidality.
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