Increased integration and synergy in EEG- and fNIRS-based data in migraine patients after a three-month treatment with galcanezumab: relations with long-term clinical outcome
摘要
Galcanezumab is a well-tolerated monoclonal antibody developed for migraine prophylaxis. Although its action mechanisms are not fully understood, they may involve changes in cortical connectivity. This study explores galcanezumab-induced central changes by investigating metabolic-electrical brain interactions and network properties. We analyzed electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) during visual stimulation through connectivity and high-order interaction analyses using Partial information decomposition (PID). Furthermore, we explored the relationship between neurophysiological measures and long-term clinical effects. Fifteen patients underwent clinical and EEG/fNIRS recordings at baseline (B), 1 hour after the first galcanezumab administration (B’), and after 3 months of therapy (3M). Clinical outcomes were assessed after one year of treatment (1Y). Ten healthy controls underwent baseline EEG/fNIRS recordings. EEG and fNIRS signals were analyzed and harmonized. We computed global network properties including strength, global efficiency, clustering coefficient, and high-order interaction properties such as synergy and redundancy. For both EEG and fNIRS data, we found lower strength and clustering coefficients in patients than in controls at all time points