Interdepartmental Neuroscience Program, Yale University, New Haven, CT, USA.
Department of Biomedical Engineering, Yale University, New Haven, CT, USA.
Cogn Neurosci. 2021 Jul-Oct;12(3-4):185-186. doi: 10.1080/17588928.2020.1866520. Epub 2020 Dec 24.
Whether in neurotransmitters or large-scale circuits, sex differences have long been of interest in neuroscience. Spets and Slotnick conducted a meta-analysis of fMRI studies of long-term memory to identify sex differences in brain-behavior associations, demonstrating that sex differences are pervasive across many sub-types of long-term memory. Meta-analyses are a workhorse toward aggregating larger sample sizes to arrive at a more comprehensive understanding of such topics. However, more research is crucial to elucidate complex relationships in how fMRI signals translate to behavioral outcomes. We propose big data and open-science as a solution toward finding robust sex differences in brain-behavior associations.
无论在神经递质还是大规模回路中，性别差异一直是神经科学关注的焦点。Spets 和 Slotnick 对 fMRI 研究进行了元分析，以确定大脑-行为关联中的性别差异，证明性别差异在许多长期记忆亚型中普遍存在。元分析是一种将更大的样本量汇总到更全面地理解此类主题的方法。然而，要阐明 fMRI 信号如何转化为行为结果的复杂关系，还需要更多的研究。我们提出大数据和开放科学是解决大脑-行为关联中性别差异的方法。
