首页> 外文期刊>Neurobiology of Aging: Experimental and Clinical Research >Statistical considerations in the evaluation of potential contributions of individual neurobiological differences to cognitive performance. Commentary on Lazic (2010) 'Relating hippocampal neurogenesis to behavior: the dangers of ignoring confounding variables'.
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Statistical considerations in the evaluation of potential contributions of individual neurobiological differences to cognitive performance. Commentary on Lazic (2010) 'Relating hippocampal neurogenesis to behavior: the dangers of ignoring confounding variables'.

机译:评估个体神经生物学差异对认知表现的潜在贡献时的统计考虑。对Lazic(2010)的评论“将海马神经发生与行为相关:忽略混杂变量的危险”。

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摘要

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.
机译:为了了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制定治疗目标,评估神经生物学个体差异对认知功能的作用至关重要。衰老模型通常用于此类研究,因为衰老过程中的可变性提供了一种自然主义的环境,可在其中评估认知受损和认知完好的老年个体的神经生物学差异。在这篇评论中,我们探讨了Lazic的讨论(2010年),其中混杂变量对本研究的解释的重要性以及常见统计主要效应对相关分析的影响。

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