Matteo Demuru

Data-driven gait cycle decomposition based on whole-body coordination dynamics

This study decomposes gait cycles using a dynamic system framework to identify coordination patterns in human locomotion.

Structural topology shapes regional roles in neuronal avalanche initiation and termination

The paper examines how structural brain connectivity influences the initiation and termination of neuronal avalanches using MEG and dMRI data from healthy individuals.

Temporal persistence and structural organization of neuronal avalanche dynamics

The paper analyzes neuronal avalanche dynamics in resting-state MEG data to show temporal persistence and structural organization in brain activity.

Departure from OFF-State Microstate Dynamics Tracks Levodopa Response in Parkinson's Disease

This study shows that changes in whole-brain microstate dynamics after levodopa administration correlate with clinical improvement in Parkinson's disease.

Structural connectivity shapes a cross-modal gradient of brain flexibility

The paper introduces a new measure, flexibility gradient, to quantify regional contributions to brain flexibility and finds that structural properties correlate with regional flexibility contributions across multiple modalities.

Hormone-Dependent Microstates and the Reconfiguration of Resting-State Dynamics across the Menstrual Cycle

This study shows that hormone levels across the menstrual cycle affect brain activity patterns and predict psychological well-being.

The development of efficient communication in the human connectome.

This study shows that neuronal communication speed increases with age, reaching peak efficiency in middle age, across both long- and short-range brain connections.

A Comparison Between Scalp- And Source-Reconstructed EEG Networks

This study compares scalp- and source-reconstructed EEG networks to assess their accuracy in estimating network topology and identifies metrics that reduce distortions caused by volume conduction.

EEG functional network topology is associated with disability in patients with amyotrophic lateral sclerosis

This study examines how EEG functional network topology relates to disability in ALS patients, finding significant correlations between network parameters and disease severity.