Open AccessPower spectrum of spontaneous cerebral homodynamic oscillation shows a distinct pattern in autism spectrum disorder
Author(s) -
Huiyi Cheng,
Jie Yu,
Lingyu Xu,
Jun Li
Publication year - 2019
Publication title -
biomedical optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.362
H-Index - 86
ISSN - 2156-7085
DOI - 10.1364/boe.10.001383
Subject(s) - autism spectrum disorder , nuclear magnetic resonance , oscillation (cell signaling) , spectral density , deoxygenated hemoglobin , support vector machine , frequency domain , hemodynamics , pattern recognition (psychology) , autism , medicine , computer science , physics , artificial intelligence , cardiology , hemoglobin , chemistry , telecommunications , biochemistry , computer vision , psychiatry
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 95.1% and accuracy of 92.7%.