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Article

Differentiating Females with Rett Syndrome and Those with Multi-Comorbid Autism Spectrum Disorder Using Physiological Biomarkers: A Novel Approach

1
Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London SE5 8AF, UK
2
Child and Adolescent Neuropsychiatry Unit, Infermi Hospital, 47923 Rimini, Italy
3
Centre for Personalised Medicine in Rett Syndrome (CPMRS) & Centre for Interventional Paediatric Psychopharmacology and Rare Diseases (CIPPRD), South London and Maudsley NHS Foundation Trust, London SE5 8AZ, UK
4
HealthTracker Limited, 76–78 High Street Medical Dental, High Street, Gillingham, Kent ME7 1AY, UK
*
Author to whom correspondence should be addressed.
J. Clin. Med. 2020, 9(9), 2842; https://doi.org/10.3390/jcm9092842
Received: 7 August 2020 / Revised: 28 August 2020 / Accepted: 30 August 2020 / Published: 2 September 2020
(This article belongs to the Collection Advances in Markers of Psychiatric Disorders)
This study explored the use of wearable sensor technology to investigate autonomic function in children with autism spectrum disorder (ASD) and Rett syndrome (RTT). We aimed to identify autonomic biomarkers that can correctly differentiate females with ASD and Rett Syndrome using an innovative methodology that applies machine learning approaches. Our findings suggest that we can predict (95%) the status of ASD/Rett. We conclude that physiological biomarkers may be able to assist in the differentiation between patients with RTT and ASD and could allow the development of timely therapeutic strategies. View Full-Text
Keywords: Rett syndrome; autism spectrum disorder; children; machine learning; physiological biomarkers Rett syndrome; autism spectrum disorder; children; machine learning; physiological biomarkers
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MDPI and ACS Style

Iakovidou, N.; Lanzarini, E.; Singh, J.; Fiori, F.; Santosh, P. Differentiating Females with Rett Syndrome and Those with Multi-Comorbid Autism Spectrum Disorder Using Physiological Biomarkers: A Novel Approach. J. Clin. Med. 2020, 9, 2842. https://doi.org/10.3390/jcm9092842

AMA Style

Iakovidou N, Lanzarini E, Singh J, Fiori F, Santosh P. Differentiating Females with Rett Syndrome and Those with Multi-Comorbid Autism Spectrum Disorder Using Physiological Biomarkers: A Novel Approach. Journal of Clinical Medicine. 2020; 9(9):2842. https://doi.org/10.3390/jcm9092842

Chicago/Turabian Style

Iakovidou, Nantia, Evamaria Lanzarini, Jatinder Singh, Federico Fiori, and Paramala Santosh. 2020. "Differentiating Females with Rett Syndrome and Those with Multi-Comorbid Autism Spectrum Disorder Using Physiological Biomarkers: A Novel Approach" Journal of Clinical Medicine 9, no. 9: 2842. https://doi.org/10.3390/jcm9092842

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