G. Arnulfo

Neuronal Synchrony and Critical Bistability: Mechanistic Biomarkers for Localizing the Epileptogenic Network

This paper identifies mechanistic biomarkers for epileptogenicity using computational modeling and SEEG data, showing that combining biomarkers improves seizure zone localization and reveals extended pathological networks beyond the clinically identified seizure zone.

Altered Brain Dynamics in idiopathic REM sleep behavior disorder: Implications for a continuum from prodromal to overt alpha-synucleinopathies

This study shows that iRBD patients exhibit altered brain dynamics, including increased excitation and reduced bistability, which correlate with disease progression and dopaminergic dysfunction.

Data-driven characterization of Preterm Birth through intramodal Diffusion MRI

This study uses diffusion MRI techniques to identify markers of preterm birth by comparing preterm and term neonates using statistical and machine learning methods.

NLP-based tools for localization of the Epileptogenic Zone in patients with drug-resistant focal epilepsy

This paper develops NLP tools to predict seizure origin localization in drug-resistant focal epilepsy using semiological descriptions, achieving an F1-score of 84.7%.

Large-scale network metrics improve the classification performance of rapid-eye-movement sleep behavior disorder patients

This paper shows that using network-based metrics in hdEEG data improves classification of iRBD patients compared to traditional Fourier-based methods.

Phase and amplitude correlations change with disease progression in idiopathic Rapid eye-movement sleep behavior disorder patients

This study examines phase and amplitude correlations in EEG rhythms of iRBD patients over time, finding increased alpha phase synchronization and reduced delta amplitude coupling linked to cognitive compensation.