Centro Internazionale dei Disturbi di Apprendimento, Attenzione e Iperattività, (CIDAAI), Milano, Italy; Unità Operativa di Neuropsichiatria Infantile, ASST Rhodense, Rho, Milano, Italy.
Unità Operativa di Neuropsichiatria Infantile, ASST Rhodense, Rho, Milano, Italy.
Int J Psychophysiol. 2018 Aug;130:9-20. doi: 10.1016/j.ijpsycho.2018.05.007. Epub 2018 May 19.
Oppositional defiant disorder (ODD) is frequently associated with Attention Deficit Hyperactivity Disorder (ADHD) but no clear neurophysiological evidence exists that distinguishes the two groups. Our aim was to identify biomarkers that distinguish children with Attention Deficit Hyperactivity Disorder combined subtype (ADHD_C) from children with ADHD_C + ODD, by combining the results of quantitative EEG (qEEG) and the Junior Temperament Character Inventory (JTCI). 28 ADHD_C and 22 ADHD_C + ODD children who met the DSMV criteria participated in the study. JTCI and EEG were analyzed. Stability based Biomarkers identification methodology was applied to the JTCI and the qEEG separately and combined. The qEEG was tested at the scalp and the sources levels. The classification power of the selected biomarkers was tested with a robust ROC technique. The best discriminant power was obtained when TCI and qEEG were analyzed together. Novelty seeking, self-directedness and cooperativeness were selected as biomarkers together with F4 and Cz in Delta; Fz and F4 in Theta and F7 and F8 in Beta, with a robust AUC of 0.95 for the ROC. At sources level: the regions were the right lateral and medial orbito-frontal cortex, cingular region, angular gyrus, right inferior occipital gyrus, occipital pole and the left insula in Theta, Alpha and Beta. The robust estimate of the total AUC was 0.91. These structures are part of extensive networks of novelty seeking, self-directedness and cooperativeness systems that seem dysregulated in these children. These methods represent an original approach to associate differences of personality and behavior to specific neuronal systems and subsystems.
对立违抗性障碍（ODD）常与注意力缺陷多动障碍（ADHD）相关，但尚无明确的神经生理学证据将两者区分开来。我们的目的是通过结合定量脑电图（qEEG）和青少年气质特征量表（JTCI）的结果，来确定可区分注意力缺陷多动障碍混合型（ADHD_C）和 ADHD_C+ODD 儿童的生物标志物。28 名符合 DSM-V 标准的 ADHD_C 和 22 名 ADHD_C+ODD 儿童参加了这项研究。对 JTCI 和 EEG 进行了分析。稳定性生物标志物识别方法分别和联合应用于 JTCI 和 qEEG。qEEG 在头皮和源水平进行了测试。使用稳健的 ROC 技术测试了所选生物标志物的分类能力。当 TCI 和 qEEG 一起分析时，获得了最佳的判别能力。当 novelty seeking、self-directedness 和 cooperativeness 与 F4 和 Cz 处的 Delta、Fz 和 F4 处的 Theta 以及 F7 和 F8 处的 Beta 一起被选为生物标志物时，ROC 的 AUC 为 0.95，具有稳健的判别力。在源水平：Theta、Alpha 和 Beta 中，右侧外侧和内侧眶额皮质、扣带回区域、角回、右侧下枕叶回、枕叶极和左侧岛叶为有区分力的区域。总 AUC 的稳健估计值为 0.91。这些结构是寻求新奇、自我导向和合作系统的广泛网络的一部分，这些系统在这些儿童中似乎失调。这些方法代表了一种将人格和行为差异与特定神经元系统和子系统联系起来的原始方法。
