Department of Neuroscience, Glickenhaus Laboratory of Neuropsychology, Friedman Brain Institute and Kastor Neurobiology of Aging Laboratories, Mount Sinai School of Medicine, New York, NY 10029-6574, USA.
Neurobiol Aging. 2010 Dec;31(12):2176-8. doi: 10.1016/j.neurobiolaging.2010.06.024. Epub 2010 Sep 15.
Evaluating the contribution of neurobiological individual differences to cognitive function is critical in order to understand the normal process of learning and memory, to identify the effects of aging and disease states, and to develop targets for therapeutics. The aging model is commonly used for such research as the variability in the aging process provides a naturalistic setting in which to evaluate neurobiological differences in both cognitively impaired and cognitively intact aged individuals. In this commentary we explore Lazic's discussion (2010) about the significance of confounding variables to the interpretation of this research and the effect of common statistical main effects on correlational analyses.
评估神经生物学个体差异对认知功能的贡献对于理解学习和记忆的正常过程、识别衰老和疾病状态的影响以及为治疗靶点的开发至关重要。衰老模型常用于此类研究，因为衰老过程中的变异性为评估认知受损和认知完整的老年个体的神经生物学差异提供了自然环境。在这篇评论中，我们探讨了 Lazic（2010）关于混杂变量对该研究解释的重要性以及常见统计主效应对相关分析的影响的讨论。
