No time for drifting: Comparing performance and applicability of signal detrending algorithms for real-time fMRI

Kopel, R; Sladky, R; Laub, P; Koush, Y; Robineau, F; Hutton, C; Weiskopf, N; Vuilleumier, P; Van De Ville, D; Scharnowski, Frank

doi:10.1016/j.neuroimage.2019.02.058

Citations

Citation copied

Kopel, R., Sladky, R., Laub, P., Koush, Y., Robineau, F., Hutton, C., Weiskopf, N., Vuilleumier, P., Van De Ville, D., & Scharnowski, F. (2019). No time for drifting: Comparing performance and applicability of signal detrending algorithms for real-time fMRI. NeuroImage, 191, 421–429. https://doi.org/10.1016/j.neuroimage.2019.02.058

Abstract

As a consequence of recent technological advances in the field of functional magnetic resonance imaging (fMRI), results can now be made available in real-time. This allows for novel applications such as online quality assurance of the acquisition, intra-operative fMRI, brain-computer-interfaces, and neurofeedback. To that aim, signal processing algorithms for real-time fMRI must reliably correct signal contaminations due to physiological noise, head motion, and scanner drift. The aim of this study was to compare performance of the com