RT Journal Article
SR Electronic
T1 Early alterations of large-scale brain networks temporal dynamics in young children with autism
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 2020.09.24.311423
DO 10.1101/2020.09.24.311423
A1 Aurélie Bochet
A1 Holger Franz Sperdin
A1 Tonia Anahi Rihs
A1 Nada Kojovic
A1 Martina Franchini
A1 Reem Kais Jan
A1 Christoph Martin Michel
A1 Marie Schaer
YR 2020
UL http://biorxiv.org/content/early/2020/09/24/2020.09.24.311423.abstract
AB Disruption of large-scale brain networks is associated with autism spectrum disorders (ASD). Recently, we found that directed functional connectivity alterations of social brain networks are a core component of atypical brain development at early developmental stages in ASD (Sperdin et al., 2018). Here, we investigated the spatio-temporal dynamics of whole-brain neuronal networks at a subsecond scale in 90 toddlers and preschoolers (47 with ASD) using an EEG microstate approach. Results revealed the presence of five microstate classes that best described the entire dataset (labeled as microstate classes A-E). Microstate class C related to the Default Mode Network (DMN) occurred less in children with ASD. Analysis of brain-behavioural relationships within the ASD group suggested that a compensatory mechanism from microstate C was associated with less severe symptoms and better adaptive skills. These results demonstrate that the temporal properties of some specific EEG microstates are altered in ASD at early developmental stages.Competing Interest StatementThe authors have declared no competing interest.