P50 and CNV as Temporal Anchors of Large-Scale Network State Transitions: A Dynamic Connectivity Study in Migraine
Abstract
Abstract Objective To elucidate the dynamic neural mechanisms underlying migraine-related cognitive impairments from a dual-temporal network perspective by using P50 and CNV as temporal anchors, and to systematically examine abnormal network reorganization during the transition from rest to task in migraine patients. Methods High-density EEG source localization was combined with dynamic brain network analysis to capture large-scale network state transitions triggered by P50 and CNV during the transition from rest to task. Results We hypothesize that P50 marks an early disengagement between the sensory network and the default mode network, while the evolution of CNV reflects ongoing coordination and resource allocation within the fronto-parietal control network; migraine-related cognitive impairments may stem from delayed, inefficient, or desynchronized state transitions at these critical moments. Conclusions This study holds promise for providing mechanobiological biomarkers for network-based precision interventions and for driving a paradigm shift from static regional localization to dynamic system integration.
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