Functional magnetic resonance imaging (fMRI) at high resolution in the human brain can attribute signal changes to different cortical depths, and help characterize layer functional connectivity. The fMRI signal based on the blood-oxygen level dependent (BOLD) contrast is confounded by noise components of thermal and physiological origin. For sub-millimeter voxel size, the thermal noise dominates over physiological noise, but physiological noise is still present, especially in upper layers. In this work, we applied thermal and physiological denoising to a resting-state fMRI dataset acquired at 7T and evaluated the depth-dependent changes in temporal signal-to-noise ratio and laminar functional connectivity.
Cortical depth-dependent effects of thermal and physiological denoising in BOLD fMRI
Guidi, M.;Giove, F.
2025-01-01
Abstract
Functional magnetic resonance imaging (fMRI) at high resolution in the human brain can attribute signal changes to different cortical depths, and help characterize layer functional connectivity. The fMRI signal based on the blood-oxygen level dependent (BOLD) contrast is confounded by noise components of thermal and physiological origin. For sub-millimeter voxel size, the thermal noise dominates over physiological noise, but physiological noise is still present, especially in upper layers. In this work, we applied thermal and physiological denoising to a resting-state fMRI dataset acquired at 7T and evaluated the depth-dependent changes in temporal signal-to-noise ratio and laminar functional connectivity.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
