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Abstract #3870

Simple Data Acquisition Choices can Adversely Affect Preprocessing Strategies in Resting State fMRI

Anna Crawford1 and Mark Lowe1

1Imaging Institute, Cleveland Clinic Foundation, Cleveland, OH, United States

Common resting state fRMI preprocessing steps are done in the Fourier domain, in particular temporal filtering. These can introduce temporal artifacts that can be exaggerated by using data time-series that are not power of 2 in length. We show that using non-power of 2 data can affect the shape of the temporal filter being applied and can increase unwanted correlations from aliased physiologic noise for example and introduce increased autocorrelations in the data.

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