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Current Medical Imaging

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ISSN (Print): 1573-4056
ISSN (Online): 1875-6603

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Research Article

A Sleeping rs-fMRI Study of Preschool Children with Autism Spectrum Disorders

Author(s): Xiaomeng Li, Longlun Wang, Bin Qin, Yun Zhang, Zhiming Zhou, Yong Qin, Guangcheng Bao, Jie Huang and Jinhua Cai*

Volume 16, Issue 7, 2020

Page: [921 - 927] Pages: 7

DOI: 10.2174/1573405616666200510003144

Price: $65

Abstract

Objectives: The brain functional network of autism spectrum disorders (ASDs) in the earlier stages of life has been almost unknown due to difficulties in obtaining a resting-state functional magnetic resonance imaging (rs-fMRI). This study aimed to perform rs-MRI under a sedated sleep state and reveal possible alterations in the brain functional network.

Methods: Rs-fMRI was performed in a group of preschool children (aged 2–6 years, 53 with ASD, 63 as controls) under a sedated sleeping state. Based on graph theoretical analysis, global and local topological metrics were calculated to investigate alterations in brain functional networks. Besides, correlation analyses were conducted between the abnormal attribute values and the Childhood Autism Rating Scale (CARS) scores.

Results: The graph theoretical analysis showed that the nodal degree of the right medial frontal gyrus and the nodal efficiency of the right lingual gyrus in the ASD group were higher than those in the control group (P<0.05). There was a statistically significant positive correlation (R=0.318, P<0.05) between the right midfrontal gyrus nodal degree values and CARS scores in the ASD patients.

Conclusion: Alterations of some nodal attributes in the brain network occurred in preschool autistic children which could serve as potential imaging biomarkers for evaluating ASD in earlier stages.

Keywords: Resting-state functional magnetic resonance imaging, graph theory analysis, autism Spectrum Disorder (ASD), preschool children, childhood Autism Rating Scale, Blood-Oxygen-Level-Dependent (BOLD).

Graphical Abstract

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