在以前没有服用过药物的脱人格化-脱现障碍患者中,功能障碍的大型脑网络
Sisi Zheng1,2, Mingkang Song1,2, Nan Song3
1Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, 100088, China.
BMC psychiatry
|January 20, 2025
概括
这项研究揭示了非个性化-非现实化障碍 (DPRD) 涉及大规模大脑网络中功能连接 (FC) 的中断. 这些网络变化可以帮助识别患者,并可能提供治疗点.
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.
- 医疗成像医学成像
背景情况:
- 脱人格化-脱意识障碍 (DPRD) 缺乏对其神经生物学基础的理解.
- 以前的神经成像研究表明,在DPRD患者中,大脑功能和结构发生了改变.
- 关于朝鲜大规模功能失调的大脑网络的知识仍然有限.
研究的目的:
- 为了研究前未使用药物的消极化-消极化障碍 (DPRD) 患者的大规模功能障碍的大脑网络.
- 为了确定与DPRD相关的功能连接 (FC) 改变的特定模式.
- 探索这些网络变化的诊断分类和治疗目标的潜力.
主要方法:
- 休息状态功能性MRI扫描从47名先前未服用药物的DPRD患者和49名健康对照 (HC) 中获得.
- 构建了大规模的大脑网络,并使用Schaefer和Tian地图集计算了网络内部和网络之间的功能连接 (FC).
- 一个支持矢量机 (SVM) 模型根据改变的FC对DPRD患者进行了分类,并分析了与临床评估的相关性.
主要成果:
- 与HC相比,DPRD患者在4个大脑网络中显著减少了网络内FC,并在18对脑网络之间显著减少了网络间FC.
- 鉴定出降低FC的模式,在对DPRD患者的分类中达到80%的准确性.
- 在体感运动网络中,剑桥脱人格化量表 (CDS) 的"自我"因子和FC之间发现了负相关性.
结论:
- 大规模大脑网络中的功能连接 (FC) 受到干扰,涉及到非个性化-非现实化障碍 (DPRD) 的神经生物学基础.
- 这些发现突出了DPRD诊断的潜在生物标志物,并为未来的治疗干预建议了途径.
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