Tom Ash1, John Suckling2, Martin
Walter3, Cinly Ooi2, Claus Tempelmann4,
1Wolfson Brain Imaging
Centre, University of Cambridge, Cambridge, United Kingdom; 2Brain
Mapping Unit, University of Cambridge, Cambridge, United Kingdom; 3Department
of Psychiatry, University of Magdeburg, Magdeburg, Germany; 4Department
of Neurology, Otto v. Guericke University, Magdeburg, Germany
We present a support vector machine based technique for recreation of partially or fully absent physiological recording data, to allow detrending of physiological noise to occur even in the absence of complete recordings of the physiological cycles. The technique uses a multi-class SVM to predict phase of each physiological cycle from fMRI image data, after training on prior data. Using these predicted phase values as inputs to physiological detrending tool RETROICOR show similar impact on Fourier transforms of the data as using recorded values, showing that they are accurate enough for use as inputs to detrending tools.