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Updated: Jun 13, 2025

Author Spotlight: Advancing Upper Limb Rehabilitation in Patients with Right Hemisphere Damage Using Assisted Active Exercise

Author Spotlight: Advancing Upper Limb Rehabilitation in Patients with Right Hemisphere Damage Using Assisted Active Exercise

Published on: February 9, 2024

在缺血性中风后预测上肢运动功能障碍:基于近红外光谱的功能性名录模型.

Menghui Liu¹, Chunxiao Wan¹, Chunyan Wang¹

¹Department of Rehabilitation Medicine, Tianjin Medical University General Hospital, Tianjin, China.

Frontiers in neurology

|June 11, 2025

概括

这项研究确定了五个独立的功能近红外光谱 (fNIRS) 风险因素,用于在缺血性中风患者上肢运动恢复. 使用fNIRS数据的预测模型有助于进行中风康复的临床决策.

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:

缺血性中风经常导致上肢运动功能障碍.
预测运动功能恢复对于有效的中风康复至关重要.
功能近红外光谱 (fNIRS) 为评估大脑活动提供了一种非侵入性方法.

研究的目的:

为了确定上肢运动功能恢复的独立风险因素3个月后缺血性中风.
使用fNIRS数据开发上肢运动功能障碍的预测模型.
加强中风患者的临床决策和治疗规划.

主要方法:

分析了114名缺血性中风患者,分为训练 (n=80) 和验证 (n=34) 组.
在fNIRS数据上使用LASSO和后勤回归分析来确定独立的风险因素.
构建了一个名图来预测运动功能障碍,通过ROC曲线 (AUC) 和决策曲线分析 (DCA) 评估模型性能.

主要成果:

确定了五个独立的fNIRS衍生的风险因素,包括大脑功能连接模式.
预测模型表现出强大的区分能力,AUC为0.971 (训练) 和0.804 (测试).
决策曲线分析证实了该模型在两个队列中的良好临床实用性.

关键词:

功能近红外光谱学近红外光谱学缺血性中风中风这个名字是名ogramogram.预测模型是一个预测模型.上肢的运动功能上肢的运动功能

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Last Updated: Jun 13, 2025

Author Spotlight: Advancing Upper Limb Rehabilitation in Patients with Right Hemisphere Damage Using Assisted Active Exercise

Author Spotlight: Advancing Upper Limb Rehabilitation in Patients with Right Hemisphere Damage Using Assisted Active Exercise

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Author Spotlight: Assessing Brain Activity in Robotic-Assisted Lower Limb Rehabilitation Using fNIRS

Author Spotlight: Assessing Brain Activity in Robotic-Assisted Lower Limb Rehabilitation Using fNIRS

Published on: June 7, 2024

Author Spotlight: Using Motor Imagery Brain-Computer Interface to Improve Motor and Cognitive Function in Stroke Patients

Author Spotlight: Using Motor Imagery Brain-Computer Interface to Improve Motor and Cognitive Function in Stroke Patients

Published on: September 1, 2023

结论:

基于fNIRS数据的新型预测模型成功开发,用于在缺血性中风后的上肢运动功能恢复.
该模型有效预测风险因素,帮助临床医生制定个性化治疗策略.
这项试点研究为改善中风康复结果提供了有价值的工具.