在功能性步态障碍中解开高水平步态控制的机制
Angela Sandri1, Chiara Bonetto1, Mirta Fiorio1
1Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, P. le L.A. Scuro, 10, Verona, 37134, Italy.
Journal of neural transmission (Vienna, Austria : 1996)
|September 5, 2024
概括
客观的步态测量,特别是那些在双重任务条件下评估自动性的测量,可以帮助诊断功能步态障碍 (FGDs). 早期识别和管理对于患有FGD的人来说至关重要.
科学领域:
- 神经学 神经学
- 生物力学 生物力学
- 发动机控制器 发动机控制器
背景情况:
- 功能性步态障碍 (FGD) 是功能神经障碍的一个致残子集,影响高水平运动控制.
- 双重任务模式为复杂的步态控制机制提供了洞察力.
研究的目的:
- 确定客观的步态措施,使FGD的个体与健康对照区分开来.
- 探索FGDs的步态测量,疾病严重程度和持续时间之间的关系.
主要方法:
- 在单一和双重任务条件下 (运动,认知,视觉固定) 对87名FGD患者和48名健康对照者的高水平时空步行结果的分析.
- 曲线下的面积 (AUC) 和双任务效应 (DTE) 的计算,用于步态测量.
- 双向重复测量 ANOVA 评估双重任务对步态特征的干扰.
主要成果:
- 步伐时间的变化及其标准偏差并没有有效地在各个条件下区分群体.
- 发现在认知双重任务期间的摇摆时间变化和步伐时间之间存在显著的分组任务相互作用.
- 较长的疾病持续时间与较差的步行表现和运动/认知DTE的不稳定性相关,但在视觉双重任务中改善了步伐长度/摆动时间.
结论:
- 步行自动性的测量显示出FGD的诊断和预后生物标志物的潜力.
- 这些发现凸显了早期诊断和干预对FGD患者的重要性.
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