Nourizadeh Mehdi, Saremi Yekta, Pirhadi Rad Amir Parham, Mortezanezhad Sepideh, Tehrani Iman Amani, Bégin Jocelyn, Juricic Maria, Mulpuri Kishore, Shadgan Babak
International Collaboration on Repair Discoveries, Vancouver, Canada.
Department of Orthopaedics, University of British Columbia, Vancouver, Canada.
J Biophotonics. 2025 Aug;18(8):e70020. doi: 10.1002/jbio.70020. Epub 2025 Apr 3.
Muscle spasticity, common in conditions such as cerebral palsy, spinal cord injury, and multiple sclerosis, is traditionally assessed using the Modified Ashworth Scale, which lacks consistency. This study evaluates near-infrared spectroscopy (NIRS) as a non-invasive tool for measuring muscle contraction intensity. Thirty-seven healthy adults performed isometric contractions at varying intensities (15%, 30%, 45%, and 60% of maximal voluntary contraction), with NIRS sensors monitoring changes in the Tissue Oxygenation Index (TOI) and electromyography (EMG) measuring muscle activity. Results demonstrated a significant negative correlation between contraction intensity and ΔTOI, indicating that higher contraction levels resulted in greater reductions in muscle oxygenation. Additionally, a multinomial logistic regression model confirmed that TOI could reliably predict contraction intensity (p < 0.001). This technique could provide real-time, objective data for spasticity assessment, potentially improving treatment plans.
肌肉痉挛在脑瘫、脊髓损伤和多发性硬化症等病症中很常见，传统上使用缺乏一致性的改良Ashworth量表进行评估。本研究评估近红外光谱（NIRS）作为一种测量肌肉收缩强度的非侵入性工具。37名健康成年人以不同强度（最大自主收缩的15%、30%、45%和60%）进行等长收缩，NIRS传感器监测组织氧合指数（TOI）的变化，肌电图（EMG）测量肌肉活动。结果表明收缩强度与ΔTOI之间存在显著负相关，表明较高的收缩水平导致肌肉氧合的更大降低。此外，多项逻辑回归模型证实TOI可以可靠地预测收缩强度（p < 0.001）。该技术可为痉挛评估提供实时、客观的数据，有可能改善治疗方案。
