Keywords: fMRI Analysis, fMRI (task based), physiology, general linear modeling, regression
Motivation: The fMRI BOLD signal is confounded by autonomic nervous system (ANS) effects, particularly in the low-frequency range, which can mimic task-induced brain activity. .
Goal(s): This project aims to identify and model the ANS-related contributions to the BOLD signal, enhancing fMRI’s specificity in task-based studies by accurately distinguishing true neural activity from systemic physiological effects.
Approach: Using multimodal recordings of sympathetic, respiratory, and cardiovascular measures alongside task-based fMRI, we quantified and corrected ANS-related effects in BOLD signals, integrating these corrections into fMRI processing workflows.
Results: We quantified and corrected autonomic nervous system-related effects in BOLD signals, integrating these corrections into the fMRI processing pipeline.
Impact: By integrating autonomic corrections into fMRI workflows, this study enhances the accuracy of brain activity measurements, providing a clearer understanding of neural dynamics during cognitive tasks.
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