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障碍之一，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。为响应NIMH要求R03建议(PA-10-)进一步分析现有数据集的具体呼吁，我们建议协作应用创新的数据分析方法，包括基于独立成分分析(ICA)分解的方法，来自180名ADHD儿童和60名对照儿童的大样本、特征良好的样本，这些样本是正在进行的认知控制翻译研究(TRECC；NIMH P50 MH077248；PI：McCracken)中心的一部分。我们将使用用于电生理数据分析的EEGLAB信号处理环境(Delorme&Makeig，2004；2R01-NS047293-05)来研究脑电信号的神经源。成功地将这些和/或相关方法应用于发现和测试ADHD的脑生物标记物将是当前ADHD研究背景下的高度创新，也将对推进ADHD的临床研究和实践具有明显的潜力。这项研究建议重新分析在NIMH支持的ADHD临床试验期间获得的现有EEG数据：1)调查ADHD认知控制异常的脑电网络；2)开发ADHD药物治疗反应的基于大脑的生物标记物。 公共卫生相关性：目前的研究建议重新分析之前在NIH资助的一项大型研究中收集的脑电(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的统计分析，如独立分量分析(ICA)分解方法，这将使我们能够确定脑电信号起源于大脑的哪里。这些神经源可能潜在地与ADHD症状和药物反应有关，这可能产生可用于ADHD诊断和治疗的生物标志物。

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.