OBJECTIVE: To test the hypothesis that a combination of magnetic resonance imaging (MRI) brain measures obtained during early childhood distinguish children with autism spectrum disorders (ASD) from typically developing children and is associated with functional outcome. METHOD: Quantitative MRI technology was used to measure gray and white matter volumes (cerebrum and cerebellum), total brain volume, and the area of the cerebellar vermis in 52 boys with a provisional diagnosis of autism (aged 1.9-5.2 years) and 15 typically developing young children (aged 1.7-5.2 years). Diagnostic confirmation and cognitive outcome data were obtained after the children reached 5 years of age. RESULTS: A discriminant function analysis of the MRI brain measures correctly classified 95.8% of the ASD cases and 92.3% of the control cases. This set of variables also correctly classified 85% of the ASD cases as lower functioning and 68% of the ASD cases as higher functioning. CONCLUSIONS: These results indicate that variability in cerebellar and cerebral size is correlated with diagnostic and functional outcome in very young children with ASD.
OBJECTIVE: To test the hypothesis that a combination of magnetic resonance imaging (MRI) brain measures obtained during early childhood distinguish children with autism spectrum disorders (ASD) from typically developing children and is associated with functional outcome. METHOD: Quantitative MRI technology was used to measure gray and white matter volumes (cerebrum and cerebellum), total brain volume, and the area of the cerebellar vermis in 52 boys with a provisional diagnosis of autism (aged 1.9-5.2 years) and 15 typically developing young children (aged 1.7-5.2 years). Diagnostic confirmation and cognitive outcome data were obtained after the children reached 5 years of age. RESULTS: A discriminant function analysis of the MRI brain measures correctly classified 95.8% of the ASD cases and 92.3% of the control cases. This set of variables also correctly classified 85% of the ASD cases as lower functioning and 68% of the ASD cases as higher functioning. CONCLUSIONS: These results indicate that variability in cerebellar and cerebral size is correlated with diagnostic and functional outcome in very young children with ASD.
Authors: Nicholas Lange; Molly B Dubray; Jee Eun Lee; Michael P Froimowitz; Alyson Froehlich; Nagesh Adluru; Brad Wright; Caitlin Ravichandran; P Thomas Fletcher; Erin D Bigler; Andrew L Alexander; Janet E Lainhart Journal: Autism Res Date: 2010-12-02 Impact factor: 5.216
Authors: Cynthia M Schumann; Cinnamon S Bloss; Cynthia Carter Barnes; Graham M Wideman; Ruth A Carper; Natacha Akshoomoff; Karen Pierce; Donald Hagler; Nicholas Schork; Catherine Lord; Eric Courchesne Journal: J Neurosci Date: 2010-03-24 Impact factor: 6.167
Authors: Stewart H Mostofsky; Stephanie K Powell; Daniel J Simmonds; Melissa C Goldberg; Brian Caffo; James J Pekar Journal: Brain Date: 2009-04-23 Impact factor: 13.501
Authors: Frank Van Overwalle; Mario Manto; Zaira Cattaneo; Silvia Clausi; Chiara Ferrari; John D E Gabrieli; Xavier Guell; Elien Heleven; Michela Lupo; Qianying Ma; Marco Michelutti; Giusy Olivito; Min Pu; Laura C Rice; Jeremy D Schmahmann; Libera Siciliano; Arseny A Sokolov; Catherine J Stoodley; Kim van Dun; Larry Vandervert; Maria Leggio Journal: Cerebellum Date: 2020-12 Impact factor: 3.847
Authors: Antoinette R Bailey; Brian N Giunta; Demian Obregon; William V Nikolic; Jun Tian; Cyndy D Sanberg; Danielle T Sutton; Jun Tan Journal: Int J Clin Exp Med Date: 2008-10-15