首页> 外文期刊>Biological psychiatry >Electroencephalogram theta/beta ratio and arousal in attention-deficit/hyperactivity disorder: evidence of independent processes.
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Electroencephalogram theta/beta ratio and arousal in attention-deficit/hyperactivity disorder: evidence of independent processes.

机译:注意缺陷/多动障碍的脑电图theta / beta比和唤醒:独立过程的证据。

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摘要

BACKGROUND: For nearly 20 years, the theta/beta power ratio in the electroencephalogram (EEG) has been used within the attention-deficit/hyperactivity disorder (ADHD) literature as a marker of central nervous system (CNS) arousal, underpinning current models of the disorder. However, this usage has not been validated. We aimed to directly test the theta/beta ratio as a marker of arousal within this population. METHODS: Resting state EEG activity was investigated as a function of CNS arousal in two age-matched groups of boys (each n = 30), with and without ADHD. Arousal was defined in terms of skin conductance level (SCL), which has a long history as a measure of CNS arousal. RESULTS: Relative theta power and the theta/beta ratio were elevated, and SCL and relative alpha and beta power were reduced, in the ADHD group compared with control subjects. In both groups, mean alpha level correlated negatively with SCL. There was no significant correlation between the theta/beta ratio and SCL. CONCLUSIONS: These data contradict the supposed linkage between the theta/beta ratio and arousal in ADHD, confirming previous results from normal children. They suggest the need for reevaluation of current models of the disorder and reconceptualization of existing EEG data from both normal and atypical populations.
机译:背景:将近20年以来,脑电图(EEG)中的theta / beta功率比已被用于注意力缺陷/多动障碍(ADHD)文献中,作为中枢神经系统(CNS)唤醒的标志物,支撑了当前的脑电图模型疾病。但是,此用法尚未经过验证。我们旨在直接测试theta / beta比率作为该人群中唤醒的标志。方法:研究了两个年龄匹配的男孩(每组n = 30)在有和没有ADHD的情况下,静息状态脑电活动与中枢神经系统唤醒的关系。唤醒是根据皮肤电导水平(SCL)来定义的,SCL是衡量CNS唤醒的悠久历史。结果:与对照组相比,ADHD组的相对theta功效和theta / beta比升高,SCL以及相对α和beta功效降低。两组中的平均α水平与SCL呈负相关。 theta / beta比率与SCL之间无显着相关性。结论:这些数据与多动症中θ/β比与觉醒之间的假设联系相矛盾,证实了正常儿童的先前结果。他们建议需要重新评估当前的疾病模型,并对来自正常和非典型人群的现有EEG数据进行重新概念化。

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