Pattern di Entropia Cerebrale del Disordine dello Spettro Autistico

Studying BOLD signal complexity may give many insights on how the brain is organised, both in Neurotypical and clinical groups, and the differences between groups. This can be achieved by computing Entropy measures on resting state fMRI data, creating Brain Entropy Maps. In this study, Entropy Patterns that characterise Autism Spectrum Disorder (ASD) are retrieved, finding an increase of complexity in the left middle frontal gyrus and in the parietal lobe and a decrease of complexity in the left frontal pole and in the right temporal lobe, when compared to a group of Neurotypical controls. Then, the correlation between clinical scores and the Entropy values is investigated, in order to better understand how entropy, complexity, ASD and clinical scores are related to each other.