Daniel E. P. Gomez

A hypothalamic-brainstem activity sequence underlies arousal fluctuations during daytime drowsiness

The paper identifies a hypothalamic-brainstem activity sequence that drives arousal fluctuations and cortical hemodynamics during drowsiness using fMRI.

Temporal evolution and spatial heterogeneity of cerebral cortical-depth profiles of the BOLD-fMRI response

The paper examines the temporal and spatial patterns of BOLD-fMRI responses in the cerebral cortex, finding that peak responses vary by location and that middle cortical layers show early activity.

Modeling dynamic inflow effects in fMRI to quantify cerebrospinal fluid flow

This paper develops a dynamic model and deep learning framework to estimate cerebrospinal fluid velocity from fMRI data, enabling physically interpretable flow measurements.

Visual stimulus-evoked blood velocity responses in individual human posterior cerebral arteries measured with dynamic phase-contrast functional MR angiography

This study introduces a new fMRA method to measure dynamic blood velocity responses in human posterior cerebral arteries during visual stimulation, showing a 10% increase in velocity and indicating neurovascular coupling.

The temporal specificity of BOLD fMRI is systematically related to anatomical and vascular features of the human brain

This paper investigates how anatomical and vascular features of the human brain affect the temporal specificity of fMRI signals in the primary visual cortex.

Resting-state fMRI signals contain spectral signatures of local hemodynamic response timing

The paper shows resting-state fMRI signals contain spectral signatures reflecting local hemodynamic response timing variations across brain regions.

A temporal sequence of thalamic activity unfolds at transitions in behavioral arousal state

This study uses fast fMRI to identify a temporal sequence of thalamic activity during transitions in behavioral arousal states, linking thalamic dynamics to wakefulness and sleep.

Analysis of task-based functional MRI data preprocessed with fMRIPrep

This paper introduces fMRIPrep, a tool for preprocessing task-based fMRI data, and demonstrates its integration into a workflow for statistical analysis.