Clinical validation of eye vergence as an objective marker for diagnosis of ADHD in children

Objective: ADHD youth show poor oculomotor control. Recent research shows that attention-related eye vergence is weak in ADHD children. Method: To validate vergence as a marker to classify ADHD, we assessed the modulation in the angle of vergence of children (n = 43) previously diagnosed with ADHD w...

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Autores: Varela Casal, Paloma, Esposito, Flavia Lorena|||0000-0003-4528-0475, Morata Martínez, Imanol|||0000-0002-9182-5248, Capdevila Reniu, Alba, Perera Lluna, Alexandre|||0000-0001-6427-851X
Formato: artículo
Fecha de publicación:2018
País:España
Recursos:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/130581
Acesso em linha:https://hdl.handle.net/2117/130581
https://dx.doi.org/10.1177/1087054717749931
Access Level:acceso abierto
Palavra-chave:Attention-deficit hyperactivity disorder--Diagnosis
ADHD
eye vergence
diagnosis
children
biomarker
binocular
Trastorn per dèficit d'atenció i hiperactivitat
Infants amb trastorns del desenvolupament
Àrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica::Bioinformàtica
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oai_identifier_str oai:upcommons.upc.edu:2117/130581
network_acronym_str ES
network_name_str España
repository_id_str
spelling Clinical validation of eye vergence as an objective marker for diagnosis of ADHD in childrenVarela Casal, PalomaEsposito, Flavia Lorena|||0000-0003-4528-0475Morata Martínez, Imanol|||0000-0002-9182-5248Capdevila Reniu, AlbaPerera Lluna, Alexandre|||0000-0001-6427-851XAttention-deficit hyperactivity disorder--DiagnosisADHDeye vergencediagnosischildrenbiomarkerbinocularTrastorn per dèficit d'atenció i hiperactivitatInfants amb trastorns del desenvolupamentÀrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica::BioinformàticaObjective: ADHD youth show poor oculomotor control. Recent research shows that attention-related eye vergence is weak in ADHD children. Method: To validate vergence as a marker to classify ADHD, we assessed the modulation in the angle of vergence of children (n = 43) previously diagnosed with ADHD while performing an attention task and compared the results with age-matched clinical controls (n = 19) and healthy peers (n = 30). Results: We observed strong vergence responses in healthy participants and weak vergence in the clinical controls. ADHD children showed no significant vergence responses. Machine-learning models classified ADHD patients (n = 21) from healthy controls (n = 21) with an accuracy of 96.3% (false positive [FP]: 5.12%; false negative [FN]: 0%; area under the curve [AUC]: 0.99) and ADHD children (n = 11) from clinical controls (n = 14) with an accuracy of 85.7% (FP: 4.5%; FN: 19.2%, AUC: 0.90). Conclusion: In combination with an attention task, vergence responses can be used as an objective marker to detect ADHD in children.Peer Reviewed20182018-01-2220192019-03-19journal articlehttp://purl.org/coar/resource_type/c_6501AMhttp://purl.org/coar/version/c_ab4af688f83e57aainfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/130581https://dx.doi.org/10.1177/1087054717749931reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/1305812026-05-27T15:37:01Z
dc.title.none.fl_str_mv Clinical validation of eye vergence as an objective marker for diagnosis of ADHD in children
title Clinical validation of eye vergence as an objective marker for diagnosis of ADHD in children
spellingShingle Clinical validation of eye vergence as an objective marker for diagnosis of ADHD in children
Varela Casal, Paloma
Attention-deficit hyperactivity disorder--Diagnosis
ADHD
eye vergence
diagnosis
children
biomarker
binocular
Trastorn per dèficit d'atenció i hiperactivitat
Infants amb trastorns del desenvolupament
Àrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica::Bioinformàtica
title_short Clinical validation of eye vergence as an objective marker for diagnosis of ADHD in children
title_full Clinical validation of eye vergence as an objective marker for diagnosis of ADHD in children
title_fullStr Clinical validation of eye vergence as an objective marker for diagnosis of ADHD in children
title_full_unstemmed Clinical validation of eye vergence as an objective marker for diagnosis of ADHD in children
title_sort Clinical validation of eye vergence as an objective marker for diagnosis of ADHD in children
dc.creator.none.fl_str_mv Varela Casal, Paloma
Esposito, Flavia Lorena|||0000-0003-4528-0475
Morata Martínez, Imanol|||0000-0002-9182-5248
Capdevila Reniu, Alba
Perera Lluna, Alexandre|||0000-0001-6427-851X
author Varela Casal, Paloma
author_facet Varela Casal, Paloma
Esposito, Flavia Lorena|||0000-0003-4528-0475
Morata Martínez, Imanol|||0000-0002-9182-5248
Capdevila Reniu, Alba
Perera Lluna, Alexandre|||0000-0001-6427-851X
author_role author
author2 Esposito, Flavia Lorena|||0000-0003-4528-0475
Morata Martínez, Imanol|||0000-0002-9182-5248
Capdevila Reniu, Alba
Perera Lluna, Alexandre|||0000-0001-6427-851X
author2_role author
author
author
author
dc.subject.none.fl_str_mv Attention-deficit hyperactivity disorder--Diagnosis
ADHD
eye vergence
diagnosis
children
biomarker
binocular
Trastorn per dèficit d'atenció i hiperactivitat
Infants amb trastorns del desenvolupament
Àrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica::Bioinformàtica
topic Attention-deficit hyperactivity disorder--Diagnosis
ADHD
eye vergence
diagnosis
children
biomarker
binocular
Trastorn per dèficit d'atenció i hiperactivitat
Infants amb trastorns del desenvolupament
Àrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica::Bioinformàtica
description Objective: ADHD youth show poor oculomotor control. Recent research shows that attention-related eye vergence is weak in ADHD children. Method: To validate vergence as a marker to classify ADHD, we assessed the modulation in the angle of vergence of children (n = 43) previously diagnosed with ADHD while performing an attention task and compared the results with age-matched clinical controls (n = 19) and healthy peers (n = 30). Results: We observed strong vergence responses in healthy participants and weak vergence in the clinical controls. ADHD children showed no significant vergence responses. Machine-learning models classified ADHD patients (n = 21) from healthy controls (n = 21) with an accuracy of 96.3% (false positive [FP]: 5.12%; false negative [FN]: 0%; area under the curve [AUC]: 0.99) and ADHD children (n = 11) from clinical controls (n = 14) with an accuracy of 85.7% (FP: 4.5%; FN: 19.2%, AUC: 0.90). Conclusion: In combination with an attention task, vergence responses can be used as an objective marker to detect ADHD in children.
publishDate 2018
dc.date.none.fl_str_mv 2018
2018-01-22
2019
2019-03-19
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
AM
http://purl.org/coar/version/c_ab4af688f83e57aa
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/130581
https://dx.doi.org/10.1177/1087054717749931
url https://hdl.handle.net/2117/130581
https://dx.doi.org/10.1177/1087054717749931
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,301603

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