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Updated: Mar 11, 2026

EEG Mu Rhythm in Typical and Atypical Development
Published on: April 9, 2014
Characterization of autism spectrum disorder with spontaneous hemodynamic activity
Jun Li1, Lina Qiu2, Lingyu Xu3
1South China Academy of Advanced Optoelectronics, South China Normal University, Guangzhou, 510006, China.
Abstract:
Functional near-infrared spectroscopy (fNIRS) was used to investigate spontaneous hemodynamic activity in the temporal cortex for typically developing (TD) children and children with autism spectrum disorder (ASD). Forty-seven children participated in the experiments including twenty-five with ASD. Compared with TD children, children with ASD showed weaker bilateral resting-state functional connectivity (RSFC), but much stronger fluctuation magnitude in terms of oxy-hemoglobin (HbO2) and deoxy-hemoglobin (Hb). Differentiating between ASD and TD based on a support vector machine (SVM) model including bilateral RSFC and the fluctuation power of HbO2 and Hb as variables could achieve high accurate classification with sensitivity of 81.6% and specificity of 94.6%. This study demonstrates optical brain imaging has the potential for screening children with risk of ASD.

