Mismatch negativity-like responses in nitroglycerin-elicited migraine model
Abstract
Mismatch negativity (MMN) is an endogenous event-related potential that reflects automatic information processing of the brain and exhibits alterations in latency and amplitude across various pathological conditions. The investigation of MMN-like responses in animal models has provided significant insights into the neural underpinnings of aberrant change-detection mechanisms. This study aims to investigate MMN-like responses in rat models of nitroglycerin (NTG)-induced migraine, to determine whether these responses resemble MMN alterations observed in migraine patients, and to explore novel tools for assessing cortical function in animal models of migraine. Male Wistar rats were assigned to two groups: an NTG-treated group, which received intermittent intraperitoneal injections of nitroglycerin to induce a migraine-like state, and a control group, which received equal volumes of saline. The classical oddball paradigm was employed as the stimulation protocol, and electroencephalography (EEG) signals were recorded concurrently. The latency and amplitude of MMN-like responses were compared between the NTG and control groups. During modeling, the mechanical threshold of rats in the NTG group gradually decreased over time, indicating the development of nociceptive hypersensitivity. Moreover, the mechanical threshold was significantly different from that of the control group on days 3, 5, 7, and 9 of drug administration. The latency in the NTG group exhibited an overall trend…
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.