Generative network models for neurodevelopment in infants with and without familial risk for autism
Year: 2022
Type: other
Abstract: Connectivity abnormality has been widely characterized in autistic children and adolescents, but what mechanisms drive network alterations, and when network divergence arises, are unknown. Here we present a longitudinal study of structural networks over the first two years of life in 369 infants at high and low familial risk for autism. We utilize generative network models (GNMs) to explore possible wiring rules in early development and their associations with behavior scores.
Authors: Shen, Rui Sherry, Parker, Drew, Tunç, Birkan, Wang, Rongguang, Hernandez, Moises, Estes, Annette, Zwaigenbaum, Lonnie, Styner, Martin, Gerig, Guido, McKinstry, Robert, Dager, Stephen, Botteron, Kelly, Hazlett, Heather, MacIntyre, Leigh, Pandey, Juhi, Yerys, Benjamin E., Piven, Joseph, Schultz, Robert T., Verma, Ragini
Language: English
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W7135316234