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We apply PICA to fMRI data acquired at rest, in order to characterize the spatio-temporal structure of such data, and demonstrate that this is an effective and robust tool for the identification of low-frequency resting-state patterns from data acquired at various different spatial and temporal resolutions.

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ClaimStatusCheckableCredenceUseStakesRests on
We apply PICA to fMRI data acquired at rest, in order to characterize the spatio-temporal structure of such data, and d…○ uncheckedyes0.55011.7—

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