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

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

Published:2021-07 Issue: Volume:Volume 13 Page:1209-1224
ISSN:1179-1608
Container-title:Nature and Science of Sleep
language:en
Short-container-title:NSS

Author:

Gagliano Antonella,Puligheddu Monica^ORCID,Ronzano Nadia,Congiu Patrizia^ORCID,Tanca Marcello Giuseppe,Cursio Ida^ORCID,Carucci Sara,Sotgiu Stefano,Grossi Enzo,Zuddas Alessandro

Publisher

Informa UK Limited

Subject

Behavioral Neuroscience,Applied Psychology

Reference74 articles.

1. Pediatric autoimmune neuropsychiatric disorders associated with streptococcal infections (PANDAS)

2. Clinical Management of Pediatric Acute-Onset Neuropsychiatric Syndrome: Part I—Psychiatric and Behavioral Interventions

3. Multidisciplinary Clinic Dedicated to Treating Youth with Pediatric Acute-Onset Neuropsychiatric Syndrome: Presenting Characteristics of the First 47 Consecutive Patients

4. Association of Pediatric Acute-Onset Neuropsychiatric Syndrome With Microstructural Differences in Brain Regions Detected via Diffusion-Weighted Magnetic Resonance Imaging

5. Clinical Evaluation of Youth with Pediatric Acute-Onset Neuropsychiatric Syndrome (PANS): Recommendations from the 2013 PANS Consensus Conference

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