King's College London, MRC Social, Genetic, and Developmental Psychiatry Centre, Institute of Psychiatry, London, UK.
Mol Psychiatry. 2010 Dec;15(12):1128-39. doi: 10.1038/mp.2010.4.
A fundamental function of the brain is to evaluate the emotional and motivational significance of stimuli and to adapt behaviour accordingly. The IMAGEN study is the first multicentre genetic-neuroimaging study aimed at identifying the genetic and neurobiological basis of individual variability in impulsivity, reinforcer sensitivity and emotional reactivity, and determining their predictive value for the development of frequent psychiatric disorders. Comprehensive behavioural and neuropsychological characterization, functional and structural neuroimaging and genome-wide association analyses of 2000 14-year-old adolescents are combined with functional genetics in animal and human models. Results will be validated in 1000 adolescents from the Canadian Saguenay Youth Study. The sample will be followed up longitudinally at the age of 16 years to investigate the predictive value of genetics and intermediate phenotypes for the development of frequent psychiatric disorders. This review describes the strategies the IMAGEN consortium used to meet the challenges posed by large-scale multicentre imaging-genomics investigations. We provide detailed methods and Standard Operating Procedures that we hope will be helpful for the design of future studies. These include standardization of the clinical, psychometric and neuroimaging-acquisition protocols, development of a central database for efficient analyses of large multimodal data sets and new analytic approaches to large-scale genetic neuroimaging analyses.
大脑的一个基本功能是评估刺激的情绪和动机意义,并相应地调整行为。IMAGEN 研究是第一个多中心遗传神经影像学研究,旨在确定冲动性、强化敏感性和情绪反应个体差异的遗传和神经生物学基础,并确定它们对频繁精神障碍发展的预测价值。对 2000 名 14 岁青少年进行全面的行为和神经心理学特征描述、功能和结构神经影像学以及全基因组关联分析,并结合动物和人类模型中的功能遗传学。结果将在来自加拿大 Saguenay 青年研究的 1000 名青少年中进行验证。该样本将在 16 岁时进行纵向随访,以研究遗传学和中间表型对频繁精神障碍发展的预测价值。这篇综述描述了 IMAGEN 联盟为应对大规模多中心成像基因组研究带来的挑战而采用的策略。我们提供了详细的方法和标准操作程序,希望这些方法和程序将有助于未来研究的设计。这些方法包括临床、心理计量学和神经影像学采集方案的标准化,用于高效分析大型多模态数据集的中央数据库的开发,以及用于大规模遗传神经影像学分析的新分析方法。