Why the study?
Hemispheric asymmetry in low-frequency spontaneous hemodynamic fluctuations in ASD suggested a specific narrow-frequency band might show more significant alterations in resting-state functional connectivity.
Does narrowband resting-state functional connectivity measured by fNIRS differentiate children with ASD from typically developing children?
Does narrowband resting-state functional connectivity measured by fNIRS differentiate children with ASD from typically developing children?
Narrowband resting-state functional connectivity at 0.01-0.02 Hz measured by fNIRS may serve as a characteristic biomarker for predicting autism spectrum disorder in children.
May support fNIRS narrowband connectivity as an ASD biomarker; leaves open prospective validation before clinical use.
Hemispheric asymmetry in the power spectrum of low-frequency spontaneous hemodynamic fluctuations has been previously observed in autism spectrum disorder (ASD). This observation may imply a specific narrow-frequency band in which individuals with ASD could show more significant alteration in resting-state functional connectivity (RSFC). To test this assumption, we evaluated narrowband RSFC at several frequencies for functional near-infrared spectroscopy signals recorded from the bilateral temporal lobes on 25 children with ASD and 22 typically developing (TD) children. In several narrow-frequency bands, we observed altered interhemispheric RSFC in ASD. However, in the band of 0.01-0.02 Hz, more mirrored channel pairs (or cortical sites) showed significantly weaker RSFC in the ASD group. Receiver operating characteristic analysis further demonstrated that RSFC in the narrowband of 0.01-0.02 Hz might have better differentiation ability between the ASD and TD groups. This may indicate that the narrowband RSFC could serve as a characteristic for the prediction of ASD.
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Sun et al. (2021) studied this question.
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