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Abstract #5475

Temporal autocorrelation bias still exists in fMRI results

Wiktor Olszowy1, John Aston2, Catarina Rua1, and Guy Williams1

1Department of Clinical Neurosciences, University of Cambridge, Wolfson Brain Imaging Centre, Cambridge, United Kingdom, 2Department of Pure Mathematics and Mathematical Statistics, University of Cambridge, Statistical Laboratory, Cambridge, United Kingdom

Given the recent trend towards validating the neuroimaging methods, we compared the most popular fMRI analysis softwares: AFNI, FSL and SPM, with regard to autocorrelation modelling. We used both resting-state and task-based fMRI data, for which we assumed different experimental designs. For FSL and SPM we observed a strong relationship that the lower the assumed experimental design frequency, the more likely it was to observe significant activation. It indicates that pre-whitening in FSL and SPM does not remove a substantial part of the temporal autocorrelation in the noise. Our study points to superior autocorrelation modelling in AFNI.

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