One-Class Support Vector Machines Identify the Language and Default Mode Regions As Common Patterns of Structural Alterations in Young Children with Autism Spectrum Disorders

The identification of reliable brain endophenotypes of autism spectrum disorders (ASD) has been hampered to date by the heterogeneity in the neuroanatomical abnormalities detected in this condition. To handle the complexity of neuroimaging data and to convert brain images in informative biomarkers o...

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Detalles Bibliográficos
Autores principales: Retico, Alessandra, Gori, Ilaria, Giuliano, Alessia, Muratori, Filippo, Calderoni, Sara
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2016
Materias:
Psychiatry
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4925658/
https://www.ncbi.nlm.nih.gov/pubmed/27445675
http://dx.doi.org/10.3389/fnins.2016.00306

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4925658/
https://www.ncbi.nlm.nih.gov/pubmed/27445675
http://dx.doi.org/10.3389/fnins.2016.00306

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