Resting State Networks in Autism Spectrum Disorder: fMRI analyses.

This thesis investigates abnormalities in Resting State Networks (RSNs) in individuals with Autism Spectrum Disorder (ASD) through fMRI studies. RSNs are connectivity systems that demonstrate specific patterns of synchronous activity when an individual is awake and alert but not engaged in any explicit task. Utilizing fMRI technology, the activity patterns of specific RSNs in certain brain regions can be evaluated. Following PRISMA guidelines, a systematic review of RSN patterns in ASD was conducted, and RSN brain coordinates of individuals with ASD were analyzed and compared using GingerALE mapping software to identify commonalities. The findings indicate that individuals with ASD exhibit both hypoactivity and hyperactivity in certain brain regions during the resting state. These commonalities represent typical abnormalities found in individuals with ASD. Additionally, this review examines the potential of resting-state data as neurobiological markers for ASD, aiming to facilitate early intervention strategies.