P29: Resting state fMRI and connectivity analysis classified autism and control with high accuracy

on symptom-based criteria. Functional magnetic resonance imaging (fMRI) of the brain is a powerful tool for exploring biomarkers of psychiatric and developmental disorders. In the present study, resting state (rs-) fMRI and a neural network algorithm were used to classify a large sample of patients with ASD and control 4)  False negative (FN) group was characterized by higher IQ and equal level of autistic symptoms as compared with true positive (TP) group. (Fig. 5)