The impact of geometric distortions on fMRI data analyses has been scarcely investigated, and a direct comparison between fMRI distortion correction approaches has not been performed so far. Here, we found that correcting the distortions from phase-reversed or field map images improved the registration into structural data, the identification of resting-state networks, and the mapping sensitivity of task-related activations, relatively to not correcting the distortions. Accounting for fMRI distortions is recommended, with the use of field map images yielding the best results at the cost of longer scanning times when compared to acquiring a few phase-reversed fMRI volumes.
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