Background: As resting-state functional connectivity (rsFC) research moves toward the study of individual differences, test–retest reliability is increasingly important to understand. Previous literature supports the test–retest reliability of rsFC derived with independent component analysis (ICA) and dual regression, yet the impact of dimensionality (i.e., the number of components to extract from group-ICA) remained obscure in the current context of large-scale data sets.

中文翻译：

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独立成分分析维数对静息态功能连接重测信度的影响

背景：随着静息状态功能连接 (rsFC) 研究转向个体差异研究，理解重测信度变得越来越重要。以前的文献支持通过独立成分分析 (ICA) 和对偶回归得出的 rsFC 的重测可靠性，但维度的影响（即从组 ICA 中提取的成分数量）在当前大背景下仍然模糊不清规模数据集。