Eneko Uruñuela

This study identifies brain regions involved in urge-to-blink using multi-echo fMRI and a timing-free approach in healthy volunteers.

The paper examines individual variability in the relationship between resting-state fMRI metrics and cerebrovascular reactivity (CVR) using longitudinal data from 7 subjects with 10 sessions each.

This paper introduces a variational Bayesian approach for cerebrovascular reactivity mapping using fMRI data and compares it to a standard GLM method, showing improved computational efficiency and handling of noisy voxels.

This paper introduces a novel hemodynamic deconvolution algorithm for multi-echo fMRI that improves reliability and provides statistical certainty without requiring prior knowledge of experimental paradigms.

This study evaluates ICA-based denoising strategies for improving CVR estimates in multi-echo BOLD fMRI during breath-hold tasks, finding that a conservative ICA model reduces motion effects best.