| Literature DB >> 29057532 |
Giusy Olivito1,2, Michela Lupo1, Fiorenzo Laghi3, Silvia Clausi1,4, Roberto Baiocco3, Mara Cercignani2,5, Marco Bozzali2,5, Maria Leggio1,4.
Abstract
Autism spectrum disorder is a neurodevelopmental disorder characterized by core deficits in social functioning. Core autistics traits refer to poor social and imagination skills, poor attention-switching/strong focus of attention, exceptional attention to detail, as expressed by the autism-spectrum quotient. Over the years, the importance of the cerebellum in the aetiology of autism spectrum disorder has been acknowledged. Neuroimaging studies have provided a strong support to this view, showing both structural and functional connectivity alterations to affect the cerebellum in autism spectrum disorder. According to the underconnectivity theory, disrupted connectivity within cerebello-cerebral networks has been specifically implicated in the aetiology of autism spectrum disorder. However, inconsistent results have been generated across studies. In this study, an integrated approach has been used in a selected population of adults with autism spectrum disorder to analyse both cerebellar morphometry and functional connectivity. In individuals with autism spectrum disorder, a decreased cerebellar grey matter volume affected the right Crus II, a region showing extensive connections with cerebral areas related to social functions. This grey matter reduction correlates with the degree of autistic traits as measured by autism-spectrum quotient. Interestingly, altered functional connectivity was found between the reduced cerebellar Crus II and contralateral cerebral regions, such as frontal and temporal areas. Overall, the present data suggest that adults with autism spectrum disorder present with specific cerebellar structural alterations that may affect functional connectivity within cerebello-cerebral modules relevant to social processing and account for core autistics traits.Entities:
Keywords: zzm321990fMRIzzm321990; Crus II; autism-spectrum quotient; cerebellum; voxel-based morphometry
Mesh:
Year: 2017 PMID: 29057532 DOI: 10.1111/ejn.13752
Source DB: PubMed Journal: Eur J Neurosci ISSN: 0953-816X Impact factor: 3.386