| 张璐,杨可桢,廖志平,宋海新,杨丛慧,李建华.近红外脑功能成像技术在脑卒中康复中的应用[J].中国康复,2025,40(10):630-634 |
| 近红外脑功能成像技术在脑卒中康复中的应用 |
| Applications of functional near-infrared spectroscopy (fNIRS) neuroimaging in stroke rehabilitation: a review |
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| DOI：10.3870/zgkf.2025.10.009 |
| 中文关键词: 近红外脑功能成像技术 脑卒中 康复 神经可塑性 |
| 英文关键词: functional near-infrared spectroscopy stroke rehabilitation neural plasticity |
| 基金项目:浙江省中医药科技计划项目（2024ZL593,2024ZL1254） |
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| 中文摘要: |
| 脑卒中后功能障碍的早期诊断与康复评估是临床亟待解决的难题，传统神经影像技术存在时空分辨率受限等问题。近红外脑功能成像技术（fNIRS）凭借非侵入性、高时间分辨率及运动耐受性优势，为解析脑卒中康复机制提供了新手段。系统检索PubMed、Web of Science及中国知网（CNKI）数据库中2000年1月~2023年12月发表的文献，关键词包括“fNIRS”、“脑卒中康复”、“神经可塑性”等，纳入临床研究及机制探讨的文献，排除非脑卒中人群研究。fNIRS可动态捕捉脑卒中后皮质激活模式演变，揭示健侧代偿及双侧平衡恢复等神经重塑特征；在机器人辅助训练及rTMS疗效评估中展现高敏感性；基于fNIRS的神经反馈技术显著提高了运动想象的训练效果。但其仍存在空间分辨率有限、易受生理噪声干扰、缺乏标准化数据分析流程等不足。fNIRS通过实时脑功能监测推动了个体化康复策略发展，未来需通过多模态融合、算法优化及大样本队列研究建立标准化的临床应用指南。 |
| 英文摘要: |
| Early diagnosis and rehabilitation assessment of functional disorders after stroke remain a clinical challenge. Traditional neuroimaging techniques are limited by their temporal and spatial resolution. Functional near-infrared spectroscopy (fNIRS) offers a non-invasive, high temporal resolution, and motion-tolerant approach, providing a new means to explore the mechanisms of stroke rehabilitation. A systematic search was conducted in PubMed, Web of Science, and CNKI databases from Janury 2000 to December 2023, using keywords such as “fNIRS”, “stroke rehabilitation”, and “neural plasticity”. Clinical studies and mechanism exploration articles were included, excluding those involving non-stroke populations. The studies confirmed that: fNIRS can dynamically capture the evolution of cortical activation patterns after stroke, revealing neural remodeling features such as contralateral compensation and bilateral balance recovery. It shows high sensitivity in the evaluation of robot-assisted training and rTMS efficacy. Neurofeedback technology significantly enhances the effect of motor imagery training. However, it still has limitations such as limited spatial resolution, susceptibility to physiological noise, and the lack of standardized data analysis procedures. fNIRS promotes the development of individualized rehabilitation strategies through real-time brain function monitoring. In the future, it is necessary to establish unified clinical application standards through multimodal fusion, algorithm optimization, and large-sample studies. |
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