从发育性临床样本中从功能性大脑网络中划分精神病理学的疾病一般和疾病特异维度
Irene Voldsbekk1, Rikka Kjelkenes1, Andreas Dahl1
1Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo, & Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway; Department of Psychology, University of Oslo, Oslo, Norway.
Developmental cognitive neuroscience
|June 22, 2023
概括
大脑网络连接模式揭示了青少年精神病理学的共同维度. 这些发现映射出症状和诊断类别的层次结构,为神经发育障碍提供了洞察力.
科学领域:
- 神经科学是一个神经科学.
- 发展心理学 发展心理学
- 精神病学是一个精神病学.
背景情况:
- 儿童和青少年大脑网络发育与精神病理学之间的关系尚未完全理解.
- 绘制共享和独特的功能连接模式对于理解精神病理学的神经生物学机制至关重要.
研究的目的:
- 在一大批儿童和青少年中调查休息状态功能连接和精神病理之间的关联.
- 识别隐藏变量 (LVs),代表与精神病理学相关的共享和诊断特定的功能连接模式.
主要方法:
- 利用部分最小平方 (PLS) 来分析来自1689名儿童和青少年 (5-21岁) 的静止状态功能连接数据.
- 确定了连接性和症状得分,诊断信息和诊断特定模式之间的LV.
- 在独立样本中验证的结果 (n=420和n=3504).
主要成果:
- 在连接性和症状之间确定了五个显著的LV,反映了一般的精神病理因素,内化-外化,神经发育,体质投诉和思维问题.
- 从诊断数据中出现了一个显著的LV,表明了交叉诊断病例控制模式.
- 自闭症谱系障碍 (ASD) 显示出一种独特的连接模式.
结论:
- 发育功能性大脑网络的共变性支持心理病理学的跨诊断维度.
- 研究结果表明,不同的精神病理维度存在着不同的神经生物学基础.
- 这项研究为了解儿童和青少年心理健康状况的神经发育基础提供了一个框架.
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