Rosaria Rucco

This paper introduces a method to detect cross-frequency coupling between brain areas using phase-linearity measurements, demonstrating its effectiveness on both simulated and real MEG data.

The paper investigates functional connectivity and brain network differences between Parkinson's disease patients with and without cognitive impairment, finding specific alterations linked to cognitive decline.

This study investigates how structural brain connections constrain fast neural dynamics using MEG and diffusion MRI data, finding a significant association between structural connectivity and neuronal avalanche spread.

The paper examines how sex hormones affect brain network topology during the menstrual cycle and links these changes to subjective well-being.

This study introduces a framework to detect connectome features from clinical populations and shows that these features predict cognitive decline using magnetoencephalography data.

This paper introduces a trunk displacement index (TDI) to quantify motor impairment in Parkinson's disease, showing it correlates with clinical scores and detects drug-induced state changes.

This study investigates reduced brain flexibility in Parkinson's disease using magnetoencephalography, finding stereotyped dynamics and beta-band hypersynchronization linked to symptom severity.

This study examines how different frequencies of rhythmic acoustic stimulation affect gait kinematics and trunk stability in healthy elderly individuals, finding that high frequencies and cadence-matched stimulation improve stability.

This study shows that sleep deprivation causes brain network disintegration and worsens attention but not switching abilities.