Marianna Angiolelli

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

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

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

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

This study develops a microcircuit model to investigate how astrocytic potassium buffering and gap-junction coupling influence neuronal synchronization and prevent pathological states in the hippocampus.

This paper shows that pre-stimulus brain states predict and reduce variability in stimulation responses by timing interventions to optimal neural states.

The paper studies how modular spiking neural networks store and retrieve dynamic spatiotemporal patterns by adjusting temporal overlap between modules.

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

This paper introduces a modular neural mass model incorporating neuromodulation, specifically dopamine dynamics, and analyzes its effects on oscillatory states.

This study examines neuronal avalanches in Lewy body diseases, finding increased brain dynamics flexibility linked to clinical symptoms and degeneration of the locus coeruleus.

The paper investigates how structural brain connections enable diverse dynamic patterns by testing if neuronal activity near a critical regime explains structural-functional relationships.

This study uses PHATE to reduce the dimensionality of resting-state MEG data, revealing dynamic brain states and their transitions in a low-dimensional space.

The paper characterizes neuronal avalanche criticality during sleep and links it to sleep architecture, showing power law distributions and scaling relations consistent with mean-field directed percolation.