非机动和机动网络之间的功能连接预测了中风后的机动恢复变化
Yi Zhang1, Gaolang Gong2,3,4, Gang Liu5
1Department of Neurosurgery, The First Hospital of Jilin University, Changchun, Jilin, China.
Scientific reports
|November 21, 2025
概括
早期中风恢复可以通过在Somatomotor A (SomMotA) 和Control A (ContA) 脑网络中的功能连接 (FC) 来预测. 非运动ContA网络在预测中风后运动功能的改善方面发挥着关键作用.
科学领域:
- 神经科学是一个神经科学.
- 医疗成像医学成像
- 康复医学 康复医学 康复医学
背景情况:
- 脑卒中严重损害四肢运动功能,影响生活质量,并产生经济成本.
- 早期预测运动恢复对于有效的治疗和康复策略至关重要.
- 虽然皮质脊髓系是已知的生物标志物,但非运动大脑区域在运动恢复中的作用尚未得到充分探索.
研究的目的:
- 研究非运动性大脑网络中功能连接 (FC) 的预测价值,用于中风后的运动恢复.
- 探索机动和非机动网络之间的急性阶段FC在预测长期机动功能的作用.
- 确定特定的大脑网络,可以作为中风运动恢复的生物标志物.
主要方法:
- 55名中风患者和49名健康对照人在中风后1,4周和12周获得了休息状态功能性MRI扫描.
- 机器学习模型被用来预测运动功能的变化 (Fugl-Meyer评估),使用来自运动 (Somatomotor A) 和非运动 (Control A) 网络的FC数据.
- 基于网络的统计 (NBS) 用于确定患者和对照组之间的显著FC差异.
主要成果:
- 在中风后1周内,在Somatomotor A (SomMotA) 和Control A (ContA) 网络中使用FC的机器学习模型显著预测了运动恢复 (p < 0.0004).
- 非电机控制A网络比电机SomMotA网络对预测做出了更大的贡献.
- 与对照组相比,NBS分析显示患者在SomMotA网络内发生了显著的FC变化,但与预测FC值没有直接相关性.
结论:
- 非运动 (ContA) 和运动 (SomMotA) 网络之间的急性阶段功能连接有效地预测中风患者的运动恢复.
- 非运动性大脑网络在中风后的运动恢复中发挥着重要作用.
- 包括非运动干预措施在内的康复策略可能会改善中风后患者的治疗结果.
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