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Published on: March 23, 2019
Improving sensitivity, specificity, and reproducibility of individual brainstem activation
Eva Matt1,2, Florian Ph S Fischmeister1,2,3, Ahmad Amini1,2
1Department of Neurology, Medical University of Vienna, Spitalgasse 23, 1090, Vienna, Austria.
High-field functional magnetic resonance imaging (fMRI) can reliably detect brainstem activation. Optimizing physiological noise correction, particularly using cerebrospinal fluid signals, enhances accuracy for clinical applications.
Area of Science:
- Neuroimaging
- Functional Magnetic Resonance Imaging (fMRI)
- Brainstem Neuroscience
Background:
- Functional imaging of the brainstem is crucial for clinical diagnostics.
- Improving signal quality in brainstem fMRI is essential for reliable activation assessments.
Purpose of the Study:
- To compare different physiological noise correction methods for brainstem fMRI.
- To assess the reproducibility and reliability of brainstem activation detection.
Main Methods:
- Six healthy subjects underwent repeated 7 Tesla fMRI sessions with jaw clenching task.
- Evaluated physiological noise correction (aCompCor, RETROICOR) with CSF or brainstem masking.
- Utilized ROC, activation overlap, and ICC analyses to compare methods.
Main Results:
- Brainstem masking increased activation and improved sensitivity/specificity (AUC).
- Cerebrospinal fluid (CSF) time series correction (aCompCor) showed the highest AUC, overlap, and ICC.
- Reliable identification of brainstem motor nuclei activation was achieved on a single-subject level.
Conclusions:
- Optimized high-field fMRI acquisition and processing enable reliable brainstem activation detection.
- Specific physiological noise correction methods significantly improve reproducibility and reliability.
- These findings support the clinical application of brainstem fMRI.
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