Power spectrum of spontaneous cerebral homodynamic oscillation shows a distinct pattern in autism spectrum disorder
Power spectrum of spontaneous cerebral homodynamic oscillation shows a distinct pattern in autism spectrum disorder
复制标题
自发性大脑同动力振荡的功率谱在自闭症谱系障碍中显示出独特的模式
DOI：
10.1364/boe.10.001383
复制
发表时间：
2019-03-01
影响因子：
3.4
通讯作者：
Li, Jun
中科院分区：
文献类型：
--
作者：
Cheng, Huiyi;Yu, Jie;Li, Jun
应用功能近红外光谱仪（fNIRS）对25例自闭症谱系障碍（ASD）和22例正常发育（TD）儿童的双侧颞叶血流动力学进行了分析。通过频域分析，发现ASD患者脑血流动力学低频振荡的功率谱具有明显的特征。更具体地，在0.0200 Hz的频率下，TD的氧合血红蛋白的功率大于ASD，而在0.0267-0.0333 Hz的频带中，ASD的脱氧血红蛋白的功率大于TD。使用这些新的特征和以前识别的特征作为支持向量机（SVM）分类器的特征变量，ASD和TD之间的准确分类实现了90.2%的灵敏度，95.0%的特异性。准确率为92.7%。(C)根据OSA开放获取出版协议的条款，2019年美国光学学会
Spontaneous hemodynamic fluctuations recorded by functional near-infrared spectroscopy (fNIRS) from bilateral temporal lobes were analyzed on 25 children with autism spectrum disorder (ASD) and 22 typically developing (TD) children. By frequency domain analysis, a new characteristic was uncovered that the power spectrum of low frequency cerebral hemodynamic oscillation showed a distinct pattern in ASD. More specifically, at the frequency of 0.0200 Hz, the power of oxygenated hemoglobin was larger for TD than ASD, whereas in the band of 0.0267-0.0333 Hz, the power of deoxygenated hemoglobin was larger for ASD than TD. Using these new features and those identified previously together as feature variables for the support vector machine (SVM) classifier, accurate classification between ASD and TD was achieved with a sensitivity of 90.2%, specificity of 95.% and accuracy of 92.7%. (C) 2019 Optical Society of America under the terms of the OSA Open Access Publishing Agreement