Features of the resting-state functional brain network of children with autism spectrum disorder: EEG source-level analysis

• Published in: The European physical journal. ST, Special topics Special topics, 2023-05, Vol.232 (5), p.683-693
• Main Authors: Kurkin, Semen, Smirnov, Nikita, Pitsik, Elena, Kabir, Muhammad Salman, Martynova, Olga, Sysoeva, Olga, Portnova, Galina, Hramov, Alexander
• Format: Article
• Language: English
• Subjects: Age; Atomic; Autism; Autistic children; Brain; Brain Physiology Meets Complex Systems; Classical and Continuum Physics; Clustering; Condensed Matter Physics; Emotions; Materials Science; Measurement Science and Instrumentation; Molecular; Optical and Plasma Physics; Physics; Physics and Astronomy; Regular Article
• ISSN: 1951-6355; 1951-6401
• DOI: 10.1140/epjs/s11734-022-00717-0

We study the specific features of the organization of the functional brain networks of children with autism spectrum disorder (ASD) by analyzing at the source level the data obtained in the EEG experiment in the resting-state paradigm. We pay special attention to age-related changes in the characteristics of functional networks during the particularly important age period from early childhood to adolescence. The analyzed experimental groups consisted of 148 ASD children and 173 neurotypical children that were considered as a control group. In the theta band, we revealed an age-independent functional connectivity pattern, consisting of the brain areas responsible for emotions and consciousness, where the strength of connections is higher in neurotypical children compared to ASD children. Moreover, we discovered lower network global clustering in the delta + theta band in ASD children. Thus, more segregated, but more highly connected subnets are formed in the delta + theta band in neurotypical individuals compared to ASD ones. We can suggest increased control over emotions and stronger interaction between the emotional and conscious domains in neurotypical children. In the extended alpha band, we revealed an age-dependent functional connectivity pattern, demonstrating hyper-activation in the ASD group for ages below 6–7 years old and hypo-activation—for older ages. Also, we discuss the development of effective approaches to autism therapy, which should be based on the normalization of aberrant functional connections.