Keywords: fMRI Analysis, fMRI (task based), Brainstem
Motivation: Task-based brainstem fMRI mapping is crucial to understand whole-brain system-level functioning, but data are plagued by low tSNR and task-correlated artifacts.
Goal(s): We tested multi-echo denoising techniques in auditory brainstem data with and without task-correlated noise.
Approach: Nine healthy individuals received passive auditory stimuli with (Audio+Motor) and without (Audio-only) a simultaneous shoulder abduction motor task during multi-echo fMRI.
Results: Both single-echo and multi-echo techniques revealed clusters of significant activation in the inferior colliculus in Audio-only and Audio+Motor data. Despite greater t-statistics with single-echo data in the Audio+Motor dataset, multi-echo ICA yielded higher tSNR without a dependence on motion, suggesting more robust data quality.
Impact: Task-based brainstem fMRI is greatly impacted by numerous confounds, including task-correlated motion. Understanding the capabilities of multi-echo denoising techniques in the brainstem will allow more reliable and robust data quality in clinical cohorts that exhibit higher levels of motion.
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