Patricia Pais‐Roldán

Ultra-High Resolution TR-external EPIK with Deep Learning Image Reconstruction for Enhanced Characterisation of Cortical Depth-dependent Neural Activity

This paper improves submillimetre fMRI image reconstruction using deep learning, achieving higher SNR than conventional methods in cortical depth-dependent neural activity studies.

High spatiotemporal resolution radial encoding single vessel fMRI

This paper introduces radial encoding MRI to achieve high spatiotemporal resolution single-vessel fMRI in rat somatosensory cortex, enabling detailed hemodynamic mapping of microvessels.

Cortical depth-dependent human fMRI of resting-state networks using EPIK

This study uses EPIK to examine laminar fMRI dynamics in resting-state networks, finding depth-specific connectivity patterns and task-related changes in cortical layers.

Contribution of cortical layers to human dynamic functional connectivity

This study examines how dynamic functional connectivity within cortical layers changes over time and its impact on identifying brain states in healthy individuals.

Characterizing brain state-dependent pupil dynamics based on lateral hypothalamic activity

The paper investigates the relationship between lateral hypothalamic activity and pupil dynamics across different brain states, finding that LH activity modulates the correlation between pupil dynamics and ACC signals.

Decoding the brain state-dependent relationship between pupil dynamics and resting state fMRI signal fluctuation

The paper identifies trial-specific brain state patterns linked to pupil dynamics in anesthetized rats using PCA and decoding methods.

Mapping the brain-wide network effects by optogenetic activation of the corpus callosum

This study uses optogenetic activation of the corpus callosum to map brain-wide network effects using fMRI and calcium recording.