
Artificial Neural Networks Analysis of polysomnographic and clinical features in Pediatric Acute-Onset Neuropsychiatric Syndrome (PANS): from sleep alteration to “Brain Fog”
Author(s) -
Antonella Gagliano,
Monica Puligheddu,
Nadia Ronzano,
Patrizia Congiu,
Marcello G Tanca,
Ida Cursio,
Sara Carucci,
Stefano Sotgiu,
Enzo Grossi,
Alessandro Zuddas
Publication year - 2021
Publication title -
nature and science of sleep
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.715
H-Index - 34
ISSN - 1179-1608
DOI - 10.2147/nss.s300818
Subject(s) - polysomnography , medicine , insomnia , etiology , abnormality , sleep (system call) , pediatrics , slow wave sleep , psychiatry , electroencephalography , computer science , operating system
PANS (pediatric acute onset neuropsychiatric syndrome) is thought to be the result of several mechanisms and multiple etiologies, ranging from endocrine/metabolic causes to postinfectious autoimmune and neuroinflammatory disorders. Sleep disorders represent one of the most frequent manifestations of PANS, involving around 80% of patients. The present study describes the clinical and polysomnographic features in a group of PANS children identifying the relationships between sleep disorders and other PANS symptoms.