Cerebral blood flow measured by diffuse correlation spectroscopy in children with autism spectrum disorder

Abstract

Diffuse correlation spectroscopy (DCS) was used to measure resting‐state cerebral blood flow (CBF) in temporal lobes of children with autism spectrum disorder (ASD) and typically developing (TD) children. 22 children with ASD and 34 age‐matched TD children were recruited to participate in the experiment. DCS signals were recorded with 3 long source‐detector (SD) channels (SD distance = 22.0 mm) and 1 short SD channel (SD distance = 10.5 mm) from each side of the temporal lobe. Significant difference in CBF between left and right hemispheres was observed in ASD group, but not in TD group. With the degree of CBF lateralization as a discrimination feature, a leave‐one‐out ROC curve was plotted with the area‐under‐curve (AUC) value of 0.731 ± 0.010, indicating children with ASD could be discriminated from TD children. This suggested CBF lateralization in temporal lobes measured with DCS might serve as a discriminative feature for ASD.This article is protected by copyright. All rights reserved.

Diagnosis for autism spectrum disorder children using T1-based gray matter and arterial spin labeling-based cerebral blood flow network metrics

“…CBF is of significant importance in studying abnormalities in brain perfusion. The measurement of CBF lateralization in temporal lobes was used as a discriminative feature for diagnosis ASD ( Wong et al, 2017 ; Lin et al, 2023 ).…”

Corrigendum: Neurovascular crosstalk and cerebrovascular alterations: an underestimated therapeutic target in autism spectrum disorders

“…“Common imaging techniques such as Functional magnetic resonance imaging (fMRI), Arterial Spin Labeling (ASL), single-photon emission computed tomography (SPECT), Positron Emission Tomography/Computerized Tomography (PET/CT), and an emerging technique Diffuse correlation spectroscopy (DCS) (Lin et al, 2023 ) have been used to detect regional cerebral blood flow (rCBF) and can significantly enhance our understanding of the contribution of brain vasculature to ASD.”…”