个体化形态共变网络异常与抗发作药物戒断后的发作复发相关
Ge Tan1,2, Xiuli Li3,4, Ping Jiang4,5,6
1Epilepsy Center, Department of Neurology, West China Hospital of Sichuan University, Chengdu, China.
概括
大脑网络的变化预测了在停止抗发作药物 (ASM) 后的发作复发. 较弱的网络结构,特别是大脑区域之间的连接性减少,增加了复发风险.
科学领域:
- 神经科学是一个神经科学.
- 医疗成像医学成像
- 图形理论 图形理论
背景情况:
- 抗发作药物 (ASM) 对于治疗至关重要.
- 了解ASM戒断后发作复发的预测因素对于患者护理至关重要.
- 大脑网络的改变可能是发作复发的基础.
研究的目的:
- 为了确定与发作复发后ASM戒断相关的大脑网络特征.
- 为了比较无患者,复发患者和健康对照患者之间的网络特征.
主要方法:
- 从T1加权的MRI扫描中构建个性化的形态相似性网络.
- 比较图表指标,包括本地效率,全球效率,特征路径长度和节点中心性.
- 分析了皮层下皮层连接和特定的网络边缘.
主要成果:
- 没有的患者表现出较低的局部效率;复发的患者具有较低的全球/局部效率和更长的路径长度.
- 两组患者都表现出节点中心性的减少,在复发组中更加明显.
- 复发的患者表现出皮下皮层-皮层连接性下降,包括右和左中旋之间特定的边缘.
结论:
- 一个较弱的大脑网络,以降低效率和改变的连接性为特征,与ASM戒断后的复发有关.
- 节点去中心化和下皮层-皮层脱可能会导致发作复发风险增加.
- 网络分析为预测发作复发风险提供了潜在的生物标志物.
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