Since the advent of Connectomics, borders of our knowledge about brain and nervous system have increased tremendously. Thus, novel methods to analyze brain connectivity have always been under focus. We used Network-based statistics (NBS), to exert a weak control over family-wise error, and discover interconnected networks in 35 Autism Spectrum Disorder (ASD) and 34 age-, sex- matched Typically developing (TD) children. We also used NBS results' nodes for structural connectivity analysis. We respectively showed increased and decreased functional connectivity of fronto-inferior temporal and default-mode networks, in patients with ASD compared to TD.
