这篇文章提供了一项关于功能连接性 (FC) 映射方法的全面基准测试，因为它在神经科学中越来越受欢迎。作者使用多达 239 种成对统计量来评估不同 FC 矩阵在捕获枢纽、结构-功能耦合、个体指纹识别和脑-行为预测等规范特征方面的差异。研究发现，所选统计量对功能网络结构有显著影响，并指出 协方差和精度等测量方法在许多期望的属性上表现良好。该报告强调，研究人员应根据其特定的神经生理学机制和研究问题，定制成对统计量的选择，以优化 FC 映射。References: Liu Z Q, Luppi A I, Hansen J Y, et al. Benchmarking methods for mapping functional connectivity in the brain[J]. Nature Methods, 2025: 1-10.
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