Federico Giove

MOTUM: a system for Motion Online Tracking Under MRI

MOTUM enables naturalistic movement during fMRI by combining real-time motion tracking with virtual reality, showing minimal impact on data quality and linking movement dynamics to brain activity.

Non-neuronal signal fluctuations in Alzheimer's disease and in mild cognitive impairment

This study investigates the relationship between vascular metrics and noise in Alzheimer's disease, mild cognitive impairment, and healthy controls using fMRI techniques.

Cerebrovascular response dynamics to hypercapnia in healthy aging

This study uses computational modeling to analyze cerebrovascular response dynamics to hypercapnia in healthy aging, finding age-related declines in vascular adaptability and response strength.

Body size interacts with the structure of the central nervous system: A multi-center in vivo neuroimaging study

This study shows body size parameters significantly correlate with brain and spinal cord MRI metrics and should be included in neuroimaging studies.

Perception affects the brain's metabolic response to sensory stimulation

The paper shows that perceived and unperceived visual stimuli with similar BOLD-fMRI responses have distinct neurometabolic profiles in V1, with lactate and glutamate accumulation only during perception.

Automated joint skull-stripping and segmentation with Multi-Task U-Net in large mouse brain MRI databases

The paper introduces MU-Net, a convolutional neural network for automated skull-stripping and segmentation in mouse brain MRI, achieving high accuracy and speed.