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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Bibliografiska uppgifter
I publikationen:Front Neurosci
Huvudupphovsmän: Retico, Alessandra, Gori, Ilaria, Giuliano, Alessia, Muratori, Filippo, Calderoni, Sara
Materialtyp: Artigo
Språk:Inglês
Publicerad: Frontiers Media S.A. 2016
Ämnen:
Psychiatry
Länkar:https://ncbi.nlm.nih.gov/pmc/articles/PMC4925658/
https://ncbi.nlm.nih.gov/pubmed/27445675
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnins.2016.00306
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