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Abstract #3437

The Impact of Physiological Noise Correction on FMRI at 7T

Chloe Hutton1, Oliver Josephs1, Jrg Stadler2, Eric Featherstone1, Alphonso Reid1, Oliver Speck3, Johannes Bernarding4, Nikolaus Weiskopf1

1Wellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London, London, United Kingdom; 2Special Lab Non-Invasive Brain Imaging, Leibniz Institute for Neurobiology, Magdeburg, Germany; 3Department of Biomedical Magnetic Resonance, Institute for Experimental Physics, Otto-von-Guericke University, Magdeburg, Germany; 4Institute for Biometry and Medical Informatics, Faculty of Medicine, Otto-von-Guericke University, Magdeburg, Germany

This study aims to demonstrate the impact of physiological noise correction on the detection of brain activations for BOLD fMRI studies acquired at 7T. We use fMRI studies of subjects at rest and performing a visual task to estimate temporal SNR (tSNR) as a function of image SNR and the t-scores associated with detected activations after performing physiological noise corrections based on peripheral measurements of subject physiology. The results demonstrate that the corrections lead to an increase in mean tSNR and voxel-wise improvements in t-scores in the visual cortex.