Support Vector Machines, Multidimensional Scaling and Magnetic Resonance Imaging Reveal Structural Brain Abnormalities Associated With the Interaction Between Autism Spectrum Disorder and Sex

• Published in: Frontiers in computational neuroscience Vol. 12; p. 93
• Main Authors: Irimia, Andrei, Lei, Xiaoyu, Torgerson, Carinna M, Jacokes, Zachary J, Abe, Sumiko, Van Horn, John D
• Format: Journal Article
• Language: English
• Published: Switzerland Frontiers Research Foundation 26.11.2018; Frontiers Media S.A
• Subjects: Anatomy; Artificial intelligence; Autism; Biomarkers; Brain architecture; Brain research; Communication; Data exchange; DTI; Epidemiology; Gerontology; Learning algorithms; Machine learning; Magnetic resonance imaging; Mathematical models; Medical imaging; Mental disorders; MRI; Multidimensional scaling; Neuroimaging; Neuroscience; NMR; Nuclear magnetic resonance; Psychiatry; Scaling; Statistics; support vector machine; Systematic review; Los Angeles California; United States > US; DTI; support vector machine; machine learning; MRI; autism; neuroimaging

Despite substantial efforts, it remains difficult to identify reliable neuroanatomic biomarkers of autism spectrum disorder (ASD) based on magnetic resonance imaging (MRI) and diffusion tensor imaging (DTI). Studies which use standard statistical methods to approach this task have been hampered by n...