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Physiological noise in human cerebellar fMRI.
Wietske van der Zwaag1, João Jorge2,3, Denis Butticaz2
1Centre d'Imagerie Biomédicale (CIBM), Station 6, École Polytechnique Fédérale de Lausanne, 1015, Lausanne, Switzerland. Wietske.vanderzwaag@epfl.ch.
Magma (New York, N.Y.)
|April 21, 2015
Summary
Physiological noise correction is crucial for high-resolution 7T functional MRI (fMRI). Respiratory noise is higher in the cerebellum, suggesting noise removal improves cerebellar fMRI signal-to-noise ratio (SNR).
Area of Science:
- Neuroimaging
- Magnetic Resonance Imaging
Background:
- High-resolution 7T fMRI offers advanced brain imaging.
- Physiological noise can impact signal quality in fMRI data.
- Cerebellar fMRI analysis may benefit from noise reduction strategies.
Purpose of the Study:
- To compare physiological noise in cerebellar and cerebral regions using 7T fMRI.
- To assess the necessity of physiological noise removal for cerebellar fMRI.
Main Methods:
- Analysis of 1mm isotropic 7T fMRI data.
- Categorization of signal fluctuations (task-BOLD, drift, cardiac/respiratory cycles, rate/volume).
- Comparison of noise contributions across cerebellar and cerebral regions of interest.
Main Results:
- Cardiac cycle and rate-related fluctuations were comparable between cerebellar and cerebral regions.
- Respiratory-related signal fluctuations were significantly higher (up to 80%) in cerebellar regions.
- Significant correlations with cardiac and respiratory noise components were observed in all participants.
Conclusions:
- Physiological noise correction is recommended for 7T cerebellar fMRI.
- Noise removal is likely to enhance temporal signal-to-noise ratio (SNR) even at high spatial resolution.
- Findings support the need for physiological noise correction in high-resolution cerebellar fMRI studies.
