Characterization of the Female Phenotype of ASD using Big Data
Using publicly available data from various repositories, (e.g. NDAR, ABIDE, ADHD-200, 100 Functional Connectomes, among others), the team will process and characterize biophysical data and demographics reported in these data bases. These may include spontaneous head movements, heart rate, electro-encephalography among others. The project will characterize spontaneous involuntary motions occurring largely beneath the person’s awareness and beyond the naked eye detection across both sexes, all ages reported in these sets and for all conditions reported (e.g. ADHD, ASD, etc.) in relation to age- and sex-matched neurotypical controls. Then the team will draw distinctions in relation to the females in the broad spectrum of autism, including the former DSM-IV definition of Asperger’s Syndrome (AS).
Team MembersElizabeth Torres