Patrícia Figueiredo

This paper identifies sources of variability in cerebral blood flow measurements using arterial spin labelling MRI in rodents and calls for standardized practices to improve reproducibility.

This study evaluates the test-retest reliability of resting-state fMRI connectivity metrics based on scan length and participant number, finding that scan length has a stronger impact than participant count.

This study shows that increased inter-trial latency variability and reduced neural responses both contribute to diminished visual EEG N1 amplitudes in schizophrenia.

The paper investigates disrupted salience network dynamics in migraine patients during pain imagery, finding shorter lifetime in the network compared to healthy controls during this task.

This study uses a longitudinal case-control design to analyze functional connectome changes in migraine patients across their cycle phases using resting-state fMRI and a novel multilevel clinical fingerprinting approach.

This study compares signal models for mapping cerebrovascular reactivity using BH BOLD-fMRI, finding PetCO2 regressors with single gamma HRF provide the best results.

This study examines the consistency of correlations between fMRI resting-state networks and EEG band-power across different datasets and conditions, finding consistent correlations with variations based on RSN, frequency-band, and HRF delay.

This study uses fMRI to compare brain activation during pain imagery between migraine patients and healthy controls, finding deactivation of pain inhibition networks in migraineurs.

This paper develops a high-resolution pCASL imaging setup for rodents, improving spatial resolution and enabling better delineation of brain areas in health and disease.

This study finds increased structural connectivity in migraine patients, particularly in cerebellar regions, compared to healthy controls using MRI-based connectome analysis.

This study compares brain activation patterns between a VR-based motor imagery and observation task and conventional tasks using fMRI, finding stronger activation in the VR task.