User profiles for Eneko Uruñuela
 | Eneko UruñuelaBasque Center on Cognition, Brain and Language Verified email at bcbl.eu Cited by 137 |
[HTML][HTML] ICA-based denoising strategies in breath-hold induced cerebrovascular reactivity mapping with multi echo BOLD fMRI
Performing a BOLD functional MRI (fMRI) acquisition during breath-hold (BH) tasks is a non-invasive,
robust method to estimate cerebrovascular reactivity (CVR). However, movement …
robust method to estimate cerebrovascular reactivity (CVR). However, movement …
Hemodynamic deconvolution demystified: Sparsity-driven regularization at work
Deconvolution of the hemodynamic response is an important step to access short timescales
of brain activity recorded by functional magnetic resonance imaging (fMRI). Albeit …
of brain activity recorded by functional magnetic resonance imaging (fMRI). Albeit …
TE-dependent analysis of multi-echo fMRI with* tedana
…, S Moia, I Staden, JB Teves, E Uruñuela… - Journal of Open …, 2021 - joss.theoj.org
Functional magnetic resonance imaging (fMRI) is a popular method for in vivo neuroimaging.
Modern fMRI sequences are often weighted towards the blood oxygen level dependent (…
Modern fMRI sequences are often weighted towards the blood oxygen level dependent (…
A low rank and sparse paradigm free mapping algorithm for deconvolution of FMRI data
E Uruñuela, S Moia… - 2021 IEEE 18th …, 2021 - ieeexplore.ieee.org
Current deconvolution algorithms for functional magnetic resonance imaging (fMRI) data are
hindered by widespread signal changes arising from motion or physiological processes (eg …
hindered by widespread signal changes arising from motion or physiological processes (eg …
[PDF][PDF] Brainhack: Developing a culture of open, inclusive, community-driven neuroscience
Brainhack is an innovative meeting format that promotes scientific collaboration and education
in an open, inclusive environment. This NeuroView describes the myriad benefits for …
in an open, inclusive environment. This NeuroView describes the myriad benefits for …
Whole-brain multivariate hemodynamic deconvolution for multi-echo fMRI with stability selection
Conventionally, analysis of functional MRI (fMRI) data relies on available information about
the experimental paradigm to establish hypothesized models of brain activity. However, this …
the experimental paradigm to establish hypothesized models of brain activity. However, this …
Whole-brain multivariate hemodynamic deconvolution for functional MRI with stability selection
E Uruñuela, J Gonzalez-Castillo, C Zheng… - Medical Image …, 2024 - Elsevier
Conventionally, analysis of functional MRI (fMRI) data relies on available information about
the experimental paradigm to establish hypothesized models of brain activity. However, this …
the experimental paradigm to establish hypothesized models of brain activity. However, this …
Resting state fluctuations in BOLD fMRI might not systematically reflect measures of cerebrovascular physiology between or within subjects
Resting State Fluctuations (RSF) metrics are frequently associated with vascular and
physiological factors, to the point of being suggested as alternative estimates of cerebrovascular …
physiological factors, to the point of being suggested as alternative estimates of cerebrovascular …
Stability-based sparse paradigm free mapping algorithm for deconvolution of functional MRI data
E Uruñuela, S Jones, A Crawford… - 2020 42nd Annual …, 2020 - ieeexplore.ieee.org
Neuronal-related activity can be estimated from functional magnetic resonance imaging (fMRI)
data with no knowledge of the timings of blood oxygenation level-dependent (BOLD) …
data with no knowledge of the timings of blood oxygenation level-dependent (BOLD) …
[PDF][PDF] PyProximal-scalable convex optimization in Python
A broad class of problems in scientific disciplines ranging from image processing and
astrophysics, to geophysics and medical imaging call for the optimization of convex, non-smooth …
astrophysics, to geophysics and medical imaging call for the optimization of convex, non-smooth …