Maria Giulia Preti

This paper uses higher-order topology to analyze brain activity during naturalistic emotion tasks, finding that it captures fine-grained affective structure while pairwise connectivity captures broad arousal.

This study tracks how brain connectivity patterns change after stroke, showing early stabilization of functional fingerprints and long-term circuit remodeling that predicts recovery outcomes.

This paper introduces directed connectomics using bicommunities to reveal asymmetric pathways in brain networks and validates them with electrophysiological data.

This study shows that functional connectivity patterns remain unique across stages of Alzheimer's disease but change in their configuration, suggesting potential for individualized brain fingerprinting in clinical settings.

This study shows that the hippocampus represents goals based on their temporal distance, with current goals in the posterior and temporally removed goals in the anterior.

This study examines structure-function coupling in brain networks using EEG and fNIRS during rest and motor tasks, revealing differences in coupling patterns across brain states and regions.

This paper introduces a method using fMRI spectral signatures on high-resolution cortical graphs to improve individual identification by addressing limitations of conventional connectivity-based approaches.

The paper introduces an arrow-of-time sensitive metric to identify causal triggers of brain function in neuroimaging data, revealing more localized causal effects than traditional connectivity measures.

The paper embeds brain networks into high-dimensional graph spaces using nodal invariants and shows improved classification accuracy in higher dimensions.

This paper uses graph signal processing to decode brain tasks and fingerprint individuals by analyzing structure-function coupling in brain imaging data.

This paper investigates the temporal dynamics of human brain fingerprints, finding that longer time scales (~300s) yield the best identification, while shorter bursts correlate with neuronal activity and specific cognitive functions.