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Patterns of Response to Methylphenidate Administration in Children with ADHD: A Personalized Medicine Approach through Clustering Analysis

Individual responses to methylphenidate (MPH) can significantly differ in children with attention-deficit/hyperactivity disorder (ADHD) in terms of the extent of clinical amelioration, optimal dosage needed, possible side effects, and short- and long-term duration of the benefits. In the present rep...

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Autores principales: Grazioli, Silvia, Rosi, Eleonora, Mauri, Maddalena, Crippa, Alessandro, Tizzoni, Federica, Tarabelloni, Arianna, Villa, Filippo Maria, Chiapasco, Federica, Reimers, Maria, Gatti, Erika, Bertella, Silvana, Molteni, Massimo, Nobile, Maria
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8623097/
https://www.ncbi.nlm.nih.gov/pubmed/34828721
http://dx.doi.org/10.3390/children8111008
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author Grazioli, Silvia
Rosi, Eleonora
Mauri, Maddalena
Crippa, Alessandro
Tizzoni, Federica
Tarabelloni, Arianna
Villa, Filippo Maria
Chiapasco, Federica
Reimers, Maria
Gatti, Erika
Bertella, Silvana
Molteni, Massimo
Nobile, Maria
author_facet Grazioli, Silvia
Rosi, Eleonora
Mauri, Maddalena
Crippa, Alessandro
Tizzoni, Federica
Tarabelloni, Arianna
Villa, Filippo Maria
Chiapasco, Federica
Reimers, Maria
Gatti, Erika
Bertella, Silvana
Molteni, Massimo
Nobile, Maria
author_sort Grazioli, Silvia
collection PubMed
description Individual responses to methylphenidate (MPH) can significantly differ in children with attention-deficit/hyperactivity disorder (ADHD) in terms of the extent of clinical amelioration, optimal dosage needed, possible side effects, and short- and long-term duration of the benefits. In the present repeated-measures observational study, we undertook a proof-of-concept study to determine whether clustering analysis could be useful to characterize different clusters of responses to MPH in children with ADHD. We recruited 33 children with ADHD who underwent a comprehensive clinical, cognitive, and neurophysiological assessment before and after one month of MPH treatment. Symptomatology changes were assessed by parents and clinicians. The neuropsychological measures used comprised pen-and-paper and computerized tasks. Functional near-infrared spectroscopy was used to measure cortical hemodynamic activation during an attentional task. We developed an unsupervised machine learning algorithm to characterize the possible clusters of responses to MPH in our multimodal data. A symptomatology improvement was observed for both clinical and neuropsychological measures. Our model identified distinct clusters of amelioration that were related to symptom severity and visual-attentional performances. The present findings provide preliminary evidence that clustering analysis can potentially be useful in identifying different responses to MPH in children with ADHD, highlighting the importance of a personalized medicine approach within the clinical framework.
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spelling pubmed-86230972021-11-27 Patterns of Response to Methylphenidate Administration in Children with ADHD: A Personalized Medicine Approach through Clustering Analysis Grazioli, Silvia Rosi, Eleonora Mauri, Maddalena Crippa, Alessandro Tizzoni, Federica Tarabelloni, Arianna Villa, Filippo Maria Chiapasco, Federica Reimers, Maria Gatti, Erika Bertella, Silvana Molteni, Massimo Nobile, Maria Children (Basel) Article Individual responses to methylphenidate (MPH) can significantly differ in children with attention-deficit/hyperactivity disorder (ADHD) in terms of the extent of clinical amelioration, optimal dosage needed, possible side effects, and short- and long-term duration of the benefits. In the present repeated-measures observational study, we undertook a proof-of-concept study to determine whether clustering analysis could be useful to characterize different clusters of responses to MPH in children with ADHD. We recruited 33 children with ADHD who underwent a comprehensive clinical, cognitive, and neurophysiological assessment before and after one month of MPH treatment. Symptomatology changes were assessed by parents and clinicians. The neuropsychological measures used comprised pen-and-paper and computerized tasks. Functional near-infrared spectroscopy was used to measure cortical hemodynamic activation during an attentional task. We developed an unsupervised machine learning algorithm to characterize the possible clusters of responses to MPH in our multimodal data. A symptomatology improvement was observed for both clinical and neuropsychological measures. Our model identified distinct clusters of amelioration that were related to symptom severity and visual-attentional performances. The present findings provide preliminary evidence that clustering analysis can potentially be useful in identifying different responses to MPH in children with ADHD, highlighting the importance of a personalized medicine approach within the clinical framework. MDPI 2021-11-04 /pmc/articles/PMC8623097/ /pubmed/34828721 http://dx.doi.org/10.3390/children8111008 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Grazioli, Silvia
Rosi, Eleonora
Mauri, Maddalena
Crippa, Alessandro
Tizzoni, Federica
Tarabelloni, Arianna
Villa, Filippo Maria
Chiapasco, Federica
Reimers, Maria
Gatti, Erika
Bertella, Silvana
Molteni, Massimo
Nobile, Maria
Patterns of Response to Methylphenidate Administration in Children with ADHD: A Personalized Medicine Approach through Clustering Analysis
title Patterns of Response to Methylphenidate Administration in Children with ADHD: A Personalized Medicine Approach through Clustering Analysis
title_full Patterns of Response to Methylphenidate Administration in Children with ADHD: A Personalized Medicine Approach through Clustering Analysis
title_fullStr Patterns of Response to Methylphenidate Administration in Children with ADHD: A Personalized Medicine Approach through Clustering Analysis
title_full_unstemmed Patterns of Response to Methylphenidate Administration in Children with ADHD: A Personalized Medicine Approach through Clustering Analysis
title_short Patterns of Response to Methylphenidate Administration in Children with ADHD: A Personalized Medicine Approach through Clustering Analysis
title_sort patterns of response to methylphenidate administration in children with adhd: a personalized medicine approach through clustering analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8623097/
https://www.ncbi.nlm.nih.gov/pubmed/34828721
http://dx.doi.org/10.3390/children8111008
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