He Ying, Jiang Pengjun, Han Shanshan, Wang Rong, Li Yue, Teng Yichao, Gao Tianxin
Beijing Tian Tan Hospital, Capital Medical University, Beijing 100050, P.R. China.
School of Life Science, Beijing Institute of Technology, Beijing 100081, P.R. China.
Biomed Mater Eng. 2014;24(6):3463-9. doi: 10.3233/BME-141171.
Near-infrared spectroscopy (NIRS) was used to investigate the cerebral oxygenation of Moyamoya and healthy subjects. Continuous recordings of NIRS signals for 20 min (20 min signals) were obtained from 17 healthy subjects (age: 37.4 ± 11.3) and 17 Moyamoya subjects (age: 40.1 ± 11.2). Spectral analysis based on wavelet transformation identified five frequency intervals (I, 0.0095 Hz to 0.02 Hz; II, 0.02 Hz to 0.06 Hz; III, 0.06 Hz to 0.15 Hz; IV, 0.15 Hz to 0.40 Hz; and V, 0.40 Hz to 2.00 Hz) in the 20 min signals and three frequency intervals (III, 0.06 Hz to 0.15 Hz; IV, 0.15 Hz to 0.40 Hz; and V, 0.40 Hz to 2.00 Hz) in the 3 min signals (the first 3 min signals were continuously extracted from the 20 min signals). Significant differences (p < 0.05) were found in frequency intervals III and V. The former exhibited the myogenic activity of smooth muscle inside the blood vessels in both 20 min and 3 min signal analyses; the latter showed hemodynamic oscillation caused by heart pumping. This finding agrees with the vascular pathological changes in Moyamoya disease. As a potential screening method for Moyamoya disease, the simple threshold method exhibited 73.5% accuracy.
近红外光谱(NIRS)被用于研究烟雾病患者和健康受试者的脑氧合情况。从17名健康受试者(年龄:37.4±11.3)和17名烟雾病患者(年龄:40.1±11.2)中获取了20分钟的NIRS信号连续记录(20分钟信号)。基于小波变换的频谱分析在20分钟信号中识别出五个频率区间(I,0.0095赫兹至0.02赫兹;II,0.02赫兹至0.06赫兹;III,0.06赫兹至0.15赫兹;IV,0.15赫兹至0.40赫兹;V,0.40赫兹至2.00赫兹),在3分钟信号(从20分钟信号中连续提取前3分钟信号)中识别出三个频率区间(III,0.06赫兹至0.15赫兹;IV,0.15赫兹至0.40赫兹;V,0.40赫兹至2.00赫兹)。在频率区间III和V中发现了显著差异(p<0.05)。在20分钟和3分钟信号分析中,前者均表现出血管平滑肌的肌源性活动;后者显示出由心脏泵血引起的血流动力学振荡。这一发现与烟雾病的血管病理变化相符。作为烟雾病的一种潜在筛查方法,简单阈值法的准确率为73.5%。