Brain Source Analysis of Existing EEG Data in Childhood ADHD

描述（由申请人提供）：注意力缺陷多动障碍（ADHD）是最常见的儿童精神疾病之一，并伴有显著的发病率。 尽管对这种发育障碍进行了广泛的研究，但ADHD的病因和病理生理学仍然知之甚少。 为了响应NIMH对R 03提案的具体呼吁，（PA-10-64）为了进一步分析现有的数据集，我们建议合作应用创新的数据分析方法，包括基于独立分量分析（伊卡）分解的方法，以现有的EEG数据，作为正在进行的认知控制转化研究的一部分，收集了180名ADHD儿童和60名对照儿童的良好特征样本（TRECC; NIMH P50 MH 077248; PI：麦克拉肯）中心。 我们将使用EEGLAB信号处理环境进行电生理数据分析（Delorme & Makeig，2004; 2 R 01-NS 047293 -05），以研究EEG信号起源的神经源。 成功应用这些和/或相关方法来发现和测试ADHD的基于大脑的生物标志物的问题在当前ADHD研究的背景下将是高度创新的，并且也将具有推进临床ADHD研究和实践的明显潜力。 本研究建议重新分析NIMH支持的ADHD临床试验期间获得的现有EEG数据集：1）调查ADHD认知控制异常的EEG脑网络和2）开发ADHD药物治疗反应的脑生物标志物。 公共卫生相关性： 目前的研究建议重新分析先前在NIH资助的一项大型研究中收集的脑电图（EEG）数据，该研究检查了180名ADHD儿童和60名健康对照儿童。 重新分析将利用前沿统计分析，如独立分量分析（伊卡）分解方法，这将使我们能够确定EEG信号在大脑中的来源。 这些神经源可能与ADHD症状和药物反应有关，这可能会产生可用于诊断和治疗ADHD的生物标志物（或生物标志物）。

DESCRIPTION (provided by applicant): Attention-Deficit Hyperactivity Disorder (ADHD) is one of the most prevalent child psychiatric disorders and is accompanied by significant morbidity. Despite extensive research in this developmental disorder, the etiology and pathophysiology of ADHD remain poorly understood. In response to the specific call by NIMH for R03 proposals (PA-10-64) to further analyze existing data sets, we propose to collaboratively apply innovative data analytic approaches including independent component analysis (ICA) decomposition-based methods to existing EEG data from a large, well-characterized sample of 180 children with ADHD and 60 comparison children collected as part of the ongoing Translational Research in Cognitive Control (TRECC; NIMH P50 MH077248; PI: McCracken) Center. We will use the EEGLAB signal processing environment for electrophysiological data analysis (Delorme & Makeig, 2004; 2R01-NS047293-05) to study the neural sources from which the EEG signal originates. Successful application of these and/or related methods to the problem of discovering and testing brain-based biomarkers for ADHD would be highly innovative in the context of current ADHD research, and would also have clear potential for advancing clinical ADHD research and practice. This study proposes to reanalyze EEG data from an existing set obtained during a NIMH supported clinical trial in ADHD: 1) to investigate the EEG brain networks underlying abnormalities in cognitive control in ADHD and 2) to develop brain-based biomarkers for treatment response to medication in ADHD. PUBLIC HEALTH RELEVANCE: The current study proposes to re-analyze electroencephalographic (EEG) data previously collected during a large NIH-funded research study that examined 180 children with ADHD and 60 healthy comparison children. The re-analysis will utilize leading edge statistical analyses such as independent components analysis (ICA) decomposition methods, which will allow us to determine where in the brain the EEG signal originates. These neural sources may potentially be linked to ADHD symptoms and medication response, which may yield biological markers (or biomarkers) that can be used in the diagnosis and treatment of ADHD.