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Clinical Validation of Eye Vergence as an Objective Marker for Diagnosis of ADHD in Children.
Varela Casal, Paloma; Lorena Esposito, Flavia; Morata Martínez, Imanol; Capdevila, Alba; Solé Puig, Maria; de la Osa, Núria; Ezpeleta, Lourdes; Perera I Lluna, Alexandre; Faraone, Stephen V; Ramos-Quiroga, Josep Antoni; Supèr, Hans; Cañete, Jose.
Afiliación
  • Varela Casal P; 1 Departament of Psychiatry, Hospital de Mataró, Barcelona, Spain.
  • Lorena Esposito F; 2 Department of Psychiatry and Forensic Medicine, Universitat Autònoma de Barcelona, Spain.
  • Morata Martínez I; 3 University of Barcelona, Spain.
  • Capdevila A; 4 Braingaze SL, Mataró, Spain.
  • Solé Puig M; 4 Braingaze SL, Mataró, Spain.
  • de la Osa N; 5 Universitat Politècnica de Catalunya, Barcelona, Spain.
  • Ezpeleta L; 1 Departament of Psychiatry, Hospital de Mataró, Barcelona, Spain.
  • Perera I Lluna A; 3 University of Barcelona, Spain.
  • Faraone SV; 6 Departament de Psicologia Clínica i de la Salud, Universitat Autònoma de Barcelona, Spain.
  • Ramos-Quiroga JA; 6 Departament de Psicologia Clínica i de la Salud, Universitat Autònoma de Barcelona, Spain.
  • Supèr H; 5 Universitat Politècnica de Catalunya, Barcelona, Spain.
  • Cañete J; 7 SUNY Upstate Medical University, Syracuse, USA.
J Atten Disord ; 23(6): 599-614, 2019 Apr.
Article en En | MEDLINE | ID: mdl-29357741
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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Trastorno por Déficit de Atención con Hiperactividad / Convergencia Ocular Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies Límite: Adolescent / Child / Humans Idioma: En Revista: J Atten Disord Asunto de la revista: PSICOLOGIA / PSIQUIATRIA Año: 2019 Tipo del documento: Article País de afiliación: España Pais de publicación: Estados Unidos
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Trastorno por Déficit de Atención con Hiperactividad / Convergencia Ocular Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies Límite: Adolescent / Child / Humans Idioma: En Revista: J Atten Disord Asunto de la revista: PSICOLOGIA / PSIQUIATRIA Año: 2019 Tipo del documento: Article País de afiliación: España Pais de publicación: Estados Unidos