High-resolution 4-shot multi-echo resting-state fMRI (RS-fMRI) can be achieved by acquiring data in a sliding window manner, and thus the composite full k-space for MUSE reconstruction can be obtained by combining the segments from the consecutive time points. However, the sliding window operation may smooth the time courses and lead to a similar effect as applying a moving average filter. In this study, we aimed to investigate the effect of k-space data sharing from consecutive time points acquired with different TRs, and to determine a feasible TR for the acquisition and reconstruction scheme for high-resolution 4-shot multi-echo RS-fMRI with MUSE.
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