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在三个主要的精神疾病中神经变异性
Wei Wei1,2,3, Lihong Deng4, Chunxia Qiao4
1Affiliated Mental Health Center & Hangzhou Seventh People's Hospital and School of Brain Science and Brain Medicine, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310013, China.
休息时的神经变异性显示了主要精神疾病 (MPD) 中共享的干扰. 这些模式与基因表达和神经递质配置文件联系在一起,这表明MPD的跨诊断生物标志物.
科学领域:
- 神经科学是一个神经科学.
- 精神病学是一个精神病学.
- 遗传学 遗传学 是一个
背景情况:
- 严重的精神疾病 (MPD) 被怀疑与大脑生理学中的干扰有关.
- 神经可变性是大脑功能的标志物,是潜在的跨诊断指标.
研究的目的:
- 在MPD中研究休息时的神经变异性.
- 探索神经可变性中断的遗传和神经化学基础.
主要方法:
- 休息状态的fMRI用于测量219名对照组和279名患者 (精神分裂症,严重抑郁症,双相情感障碍) 的BOLD信号 (SDBOLD) 的标准偏差.
- 部分最小平方相关性分析了跨诊断的SD模式,临床症状和认知功能.
- 在SDBOLD模式和死后基因表达,认知功能和神经递质受体配置文件之间计算了空间相关性.
主要成果:
- 确定了两个被破坏的SDBOLD的跨诊断模式.
- 在所有组 (大多数是精神分裂症患者) 中存在的模式1显示在语言/听觉网络中SDBOLD较高,在默认模式/感官运动网络中较低,与临床和认知缺陷相关.
- 特定于抑郁症的模式2在默认模式/突出网络中显示出更高的SDBOLD,在传感运动网络中显示出更低的SDBOLD.
- 这两种模式都表现出与基因表达,认知功能和神经递质受体配置文件的明显空间相关性.
结论:
- 休息时的神经变异性是MPD潜在的跨诊断生物标志物.
- 基因表达和神经递质受体简介显著解释了神经可变性干扰的空间分布.
- 异常的神经可变性模式有助于MPD中观察到的多样化的病理生理学和临床认知特征.
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