Migraine Neuroscience
Abstract
Migraine is a prevalent and burdensome neurological disorder characterized by throbbing headaches, sensory disturbances, nausea, and sensitivity to light and sound. Due to its severe symptoms and limited treatment options, migraines place a significant burden on people, society, and the economy. The pathophysiology of migraine involves a complex interplay of genetic, environmental, and neurobiological factors. Recent advancements in migraine research have highlighted the significance of experimental models in unraveling the molecular and cellular pathways underlying migraine attacks. This Special Issue delves into cutting-edge research on migraine neuroscience, focusing on experimental models and therapeutic targets to enhance our understanding of migraine pathophysiology and improve patient outcomes. The ultimate goal is to develop targeted therapies that effectively manage migraine symptoms and alleviate the impact of this disorder on individuals' quality of life. Bridging the gap between basic science discoveries and clinical applications remains challenging, necessitating interdisciplinary collaborations and the integration of diverse fields such as neuroscience, genetics, and pharmacology. Leveraging advanced technologies is crucial in identifying novel therapeutic strategies and potential targets for migraine treatment.
Read the paper
Related studies
- Calcium Ions in the Physiology and Pathology of the Central Nervous System
- AI-powered in silico twins: redefining precision medicine through simulation, personalization, and predictive healthcare
- In silico functional, structural and pathogenicity analysis of missense single nucleotide polymorphisms in human MCM6 gene
- In Silico drug repurposing pipeline using deep learning and structure based approaches in epilepsy
- Targeting serotonin receptors with phytochemicals – an in-silico study
- In silico exploration of anti-prostate cancer compounds from differential expressed genes
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.