眼动汇聚作为儿童 ADHD 诊断客观标志物的临床验证。
Clinical Validation of Eye Vergence as an Objective Marker for Diagnosis of ADHD in Children.
机构信息
1 Departament of Psychiatry, Hospital de Mataró, Barcelona, Spain.
2 Department of Psychiatry and Forensic Medicine, Universitat Autònoma de Barcelona, Spain.
出版信息
J Atten Disord. 2019 Apr;23(6):599-614. doi: 10.1177/1087054717749931. Epub 2018 Jan 22.
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.
目的
ADHD 青少年的眼球运动控制能力较差。最近的研究表明，ADHD 儿童的注意力相关眼聚散较弱。
方法
为了验证聚散作为分类 ADHD 的标志物，我们评估了先前被诊断为 ADHD 的儿童（n=43）在执行注意力任务时的聚散角调节，并将结果与年龄匹配的临床对照组（n=19）和健康对照组（n=30）进行比较。
结果
我们观察到健康参与者有强烈的聚散反应，而临床对照组的聚散反应较弱。ADHD 儿童没有明显的聚散反应。机器学习模型以 96.3%的准确率（假阳性[FP]：5.12%；假阴性[FN]：0%；曲线下面积[AUC]：0.99）将 ADHD 患者（n=21）与健康对照组（n=21）区分开来，以 85.7%的准确率（FP：4.5%；FN：19.2%，AUC：0.90）将 ADHD 儿童（n=11）与临床对照组（n=14）区分开来。
结论
结合注意力任务，聚散反应可作为检测儿童 ADHD 的客观标志物。
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