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 7 T and evaluated the depth-dependent changes in temporal signal-to-noise ratio and laminar functional connectivity.
| Original language | English |
|---|---|
| Article number | 230 |
| Journal | Nuovo Cimento della Societa Italiana di Fisica C |
| Volume | 48 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 2025 |
| Externally published | Yes |
| Event | 110th National Congress of the Italian Physical Society, SIF 2024 - Bologna, Italy Duration: 9 Sept 2024 → 13 Sept 2024 Conference number: 110 |