TY - JOUR
T1 - Clinical Validation of Eye Vergence as an Objective Marker for Diagnosis of ADHD in Children
AU - Varela Casal, Paloma
AU - Lorena Esposito, Flavia
AU - Morata Martínez, Imanol
AU - Capdevila, Alba
AU - Solé Puig, Maria
AU - de la Osa, Núria
AU - Ezpeleta, Lourdes
AU - Perera i Lluna, Alexandre
AU - Faraone, Stephen V.
AU - Ramos-Quiroga, Josep Antoni
AU - Supèr, Hans
AU - Cañete, Jose
N1 - Publisher Copyright:
© The Author(s) 2018.
PY - 2019/4/1
Y1 - 2019/4/1
N2 - 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.
AB - 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.
KW - ADHD
KW - binocular
KW - biomarker
KW - children
KW - diagnosis
KW - eye vergence
UR - https://ddd.uab.cat/record/202595
UR - https://www.scopus.com/pages/publications/85041579318
UR - http://www.mendeley.com/research/clinical-validation-eye-vergence-objective-marker-diagnosis-adhd-children
U2 - 10.1177/1087054717749931
DO - 10.1177/1087054717749931
M3 - Article
C2 - 29357741
SN - 1087-0547
VL - 23
SP - 599
EP - 614
JO - Journal of Attention Disorders
JF - Journal of Attention Disorders
IS - 6
ER -