Diagnosing Autism Spectrum Disorder from Brain Resting-State Functional Connectivity Patterns Using...
Diagnosing Autism Spectrum Disorder from Brain Resting-State Functional Connectivity Patterns Using a Deep Neural Network with a Novel Feature Selection Method
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Switzerland: Frontiers Research Foundation
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English
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Switzerland: Frontiers Research Foundation
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The whole-brain functional connectivity (FC) pattern obtained from resting-state functional magnetic resonance imaging data are commonly applied to study neuropsychiatric conditions such as autism spectrum disorder (ASD) by using different machine learning models. Recent studies indicate that both hyper- and hypo- aberrant ASD-associated FCs were w...
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Diagnosing Autism Spectrum Disorder from Brain Resting-State Functional Connectivity Patterns Using a Deep Neural Network with a Novel Feature Selection Method
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TN_cdi_doaj_primary_oai_doaj_org_article_0866a986a6384d858735d76a4006f284
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_0866a986a6384d858735d76a4006f284
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ISSN
1662-4548,1662-453X
E-ISSN
1662-453X
DOI
10.3389/fnins.2017.00460
