The most commonly used contrasts in laminar fMRI are blood-oxygen-level-dependent (BOLD) and vascular-space-occupancy (VASO). However, at laminar resolution, brain activity is often buried under noise, complicating the detection of small changes in activation.Here, we show the successful extraction of laminar brain activity of a complex-valued BOLD- and VASO-fMRI time series during a somatosensory task using NORDIC-PCA denoising. We expect this method to be a great asset for laminar sensory fMRI experiments as it reduces the need for anatomically informed smoothing or anisotropic filtering, which might be helpful for very small voxel sizes or when small activated areas are studied.
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