已康复的精神病患者的网络生物标志物,这些患者已停止服用抗精神病药物
Soyolsaikhan Odkhuu1,2, Woo-Sung Kim2,3, Uyanga Tsogt1,2
1Department of Psychiatry, Jeonbuk National University, Medical School, Jeonju, Korea.
Molecular psychiatry
|September 29, 2023
概括
休息状态fMRI研究揭示了精神病患者康复后大脑网络拓学的改变. 与维持康复的患者相比,复发的患者显示出更显著的网络异常,这表明预测结果的潜在生物标志物.
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.
- 网络科学 网络科学
背景情况:
- 休息状态功能磁共振成像 (rs-fMRI) 在没有药物治疗的精神病患者中尚未广泛研究其拓性质.
- 了解大脑网络组织对于识别恢复和复发的生物标志物至关重要.
研究的目的:
- 用图形理论方法研究康复精神病患者 (RP) 功能性大脑连接体的拓组织.
- 为了比较恢复后复发的患者 (RP-R) 和维持恢复的患者 (RP-M) 以及健康对照 (HC) 之间的网络特性.
主要方法:
- 招募了30个RP和50个HC用于rs-fMRI扫描.
- 采用图形理论和基于网络的统计 (NBS) 来分析全球和本地网络指标和枢纽特征.
- 评估网络对随机故障和有针对性的攻击的稳定性.
主要成果:
- 与HC相比,康复患者 (RP) 呈现出更高的全球功能连接性和超连接性,尽管全球和本地网络属性完好无损.
- 与RP-M和HC相比,子组分析显示RP-R的总效率较低,特征路径长度较长,网络稳定性降低.
- 在RP-M组中,特定的枢纽变化与认知功能相关.
结论:
- 虽然康复精神病患者的整体网络属性似乎完好无损,但子组分析强调了复发患者 (RP-R) 显著的拓学变化.
- 在RP-R和RP-M中,这些独特的网络配置文件可以作为预测抗精神病药物停用后复发或持续恢复的有价值的生物标志物.
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