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原文連結
論文資訊
- 類型：已發表論文
- 日期：2021-07-17
摘要
Functional connectivity (FC) 網絡s are typically inferred from resting-state fMRI data using the Pearson correlation between BOLD time series from pairs of 大腦 regions. However, alternative methods of estimating functional connectivity have not been systematically tested for their sensitivity or robustness to head motion artifact. Here, we evaluate the sensitivity of eight different functional connectivity measures to motion artifact using resting-state data from the Human Connectome Project. We report that FC estimated using full correlation has a relatively high residual distance-dependent relationship with motion compared to partial correlation, coherence, and 資訊 theory-based measures, even after implementing rigorous methods for motion artifact mitigation. This disadvantage of full correl
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