Artificial Neural Networks Analysis of polysomnographic and clinical features in Pediatric Acute-Onset Neuropsychiatric Syndrome (PANS): from sleep alteration to “Brain Fog”

Antonella Gagliano,1,&ast; Monica Puligheddu,2,&ast; Nadia Ronzano,3 Patrizia Congiu,2 Marcello Giuseppe Tanca,3 Ida Cursio,3 Sara Carucci,1 Stefano Sotgiu,4 Enzo Grossi,5 Alessandro Zuddas1,3 1Child & Adolescent Neuropsychiatry Unit, “Azienda Ospedaliera Brotzu” Hospital Trust, Cagliari...

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Auteurs principaux:	Gagliano A, Puligheddu M, Ronzano N, Congiu P, Tanca MG, Cursio I, Carucci S, Sotgiu S, Grossi E, Zuddas A
Format:	article
Langue:	EN
Publié:	Dove Medical Press 2021
Sujets:	pans (pediatric acute onset neuropsychiatric syndrome) sleep disorders tourette disorder polysomnography auto-contractive map. Psychiatry RC435-571 Neurophysiology and neuropsychology QP351-495
Accès en ligne:	https://doaj.org/article/299fc0aea1864602a8596c974b796a31
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https://doaj.org/article/299fc0aea1864602a8596c974b796a31

Artificial Neural Networks Analysis of polysomnographic and clinical features in Pediatric Acute-Onset Neuropsychiatric Syndrome (PANS): from sleep alteration to &ldquo;Brain Fog&rdquo;

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Artificial Neural Networks Analysis of polysomnographic and clinical features in Pediatric Acute-Onset Neuropsychiatric Syndrome (PANS): from sleep alteration to “Brain Fog”