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

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 metho...

Descripción completa

Detalles Bibliográficos
Autores principales: Iakovidou, Nantia, Lanzarini, Evamaria, Singh, Jatinder, Fiori, Federico, Santosh, Paramala
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7563706/
https://www.ncbi.nlm.nih.gov/pubmed/32887357
http://dx.doi.org/10.3390/jcm9092842
_version_ 1783595547720941568
author Iakovidou, Nantia
Lanzarini, Evamaria
Singh, Jatinder
Fiori, Federico
Santosh, Paramala
author_facet Iakovidou, Nantia
Lanzarini, Evamaria
Singh, Jatinder
Fiori, Federico
Santosh, Paramala
author_sort Iakovidou, Nantia
collection PubMed
description 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.
format Online
Article
Text
id pubmed-7563706
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-75637062020-10-27 Differentiating Females with Rett Syndrome and Those with Multi-Comorbid Autism Spectrum Disorder Using Physiological Biomarkers: A Novel Approach Iakovidou, Nantia Lanzarini, Evamaria Singh, Jatinder Fiori, Federico Santosh, Paramala J Clin Med Article 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. MDPI 2020-09-02 /pmc/articles/PMC7563706/ /pubmed/32887357 http://dx.doi.org/10.3390/jcm9092842 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Iakovidou, Nantia
Lanzarini, Evamaria
Singh, Jatinder
Fiori, Federico
Santosh, Paramala
Differentiating Females with Rett Syndrome and Those with Multi-Comorbid Autism Spectrum Disorder Using Physiological Biomarkers: A Novel Approach
title Differentiating Females with Rett Syndrome and Those with Multi-Comorbid Autism Spectrum Disorder Using Physiological Biomarkers: A Novel Approach
title_full Differentiating Females with Rett Syndrome and Those with Multi-Comorbid Autism Spectrum Disorder Using Physiological Biomarkers: A Novel Approach
title_fullStr Differentiating Females with Rett Syndrome and Those with Multi-Comorbid Autism Spectrum Disorder Using Physiological Biomarkers: A Novel Approach
title_full_unstemmed Differentiating Females with Rett Syndrome and Those with Multi-Comorbid Autism Spectrum Disorder Using Physiological Biomarkers: A Novel Approach
title_short Differentiating Females with Rett Syndrome and Those with Multi-Comorbid Autism Spectrum Disorder Using Physiological Biomarkers: A Novel Approach
title_sort differentiating females with rett syndrome and those with multi-comorbid autism spectrum disorder using physiological biomarkers: a novel approach
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7563706/
https://www.ncbi.nlm.nih.gov/pubmed/32887357
http://dx.doi.org/10.3390/jcm9092842
work_keys_str_mv AT iakovidounantia differentiatingfemaleswithrettsyndromeandthosewithmulticomorbidautismspectrumdisorderusingphysiologicalbiomarkersanovelapproach
AT lanzarinievamaria differentiatingfemaleswithrettsyndromeandthosewithmulticomorbidautismspectrumdisorderusingphysiologicalbiomarkersanovelapproach
AT singhjatinder differentiatingfemaleswithrettsyndromeandthosewithmulticomorbidautismspectrumdisorderusingphysiologicalbiomarkersanovelapproach
AT fiorifederico differentiatingfemaleswithrettsyndromeandthosewithmulticomorbidautismspectrumdisorderusingphysiologicalbiomarkersanovelapproach
AT santoshparamala differentiatingfemaleswithrettsyndromeandthosewithmulticomorbidautismspectrumdisorderusingphysiologicalbiomarkersanovelapproach

Ejemplares similares