Paola Finoia

Comparing the effect of multi gradient echo and multi band fMRI during a semantic task

This study compares multi gradient echo and multi band fMRI protocols during a semantic task, finding multi-band improves activation detection and decoding, while multi-echo enhances sensitivity in susceptibility-prone regions.

A Synergistic Workspace for Human Consciousness Revealed by Integrated Information Decomposition

This paper proposes a synergistic global workspace model of consciousness using network science and information theory, showing that loss of consciousness correlates with reduced information integration in specific brain networks.

Reduced emergent character of neural dynamics in patients with a disrupted connectome

This study quantifies neural emergence in brain injury patients using functional MRI and shows reduced emergent dynamics correlate with structural connectome disruptions.

Distributed harmonic patterns of structure-function dependence orchestrate human consciousness

The paper identifies harmonic patterns of structure-function dependence in the human connectome that correlate with different states of consciousness.

Network dynamics scale with levels of awareness

This study investigates how small world topology dynamics scale with decreasing levels of awareness, finding that subcortical areas show higher predictive power for awareness levels.

Resting-state based prediction of task-related activation in patients with disorders of consciousness

This study uses resting-state fMRI and a deep learning model to predict task-related activation in DOC patients, finding that frontoparietal control network connectivity is key for volitional capacity classification.

Paths to Oblivion: Common Neural Mechanisms of Anaesthesia and Disorders of Consciousness

This study identifies common neural mechanisms underlying anaesthesia and disorders of consciousness by simulating brain dynamics with a whole-brain model incorporating GABA receptor density and structural connectomes.

Fractal Dimension of Cortical Functional Connectivity Networks Predicts Severity in Disorders of Consciousness

The paper measures fractal dimension in brain activity to predict consciousness severity in disorders of consciousness, finding lower fractal dimensions correlate with reduced consciousness.