Migraine Prediction Using EEG A Rest Date: 31/10/2022 | Views: 226

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prepared by Mohammed Tariq
Migraine is a common and complex episodic neurological disorder. Pathophysiology characterized by recurrent headaches over a specified period, such as one month. A small group of migraine patients (13-31%) had transient neurological symptoms (most often visual aura) before headache onset, while the majority of patients had no initial symptoms. This study explored neurophysiological evidence for resting-state electroencephalogram (EEG) strength, coherence and entropy to support cortical signals related to different migraine phases, and then used this to develop an EEG-based system to predict migraine attacks. First we examine EEG hardware, preprocessing and defect removal methods, and feature extraction techniques, including force, coherence and entropy analysis. Next, we explored the cyclic EEG dynamics of migraine over a base cross section. The results indicated that the EEG power spectrum and coherence were significantly increased in the pre-ictal group, relative to the EEG data obtained from the inter-ictal group. Patients with seizures had reduced EEG power and connectivity relative to healthy controls, which "normalized" in pre-orgasmic patients. Furthermore, using a longitudinal design, we used a wearable EEG device to estimate brain dynamics prior to migraine attacks. The results showed that the individual patients' EEG entropy in the pre-arrival stage, similar to normal control subjects, was significantly higher than that of their in-phase between nicks in the frontal lobe region. This means that entropy measures determined the enhancement or "normalization" of EEG complexity in the pre-convulsive phase. Finally, based on this neuroscience finding of interpersonal and pre-individual EEG entropy, this study proposed a support vector machine (SVM)-based system with 76% accuracy in predicting migraine attacks. The EEG prediction system characterized single-zone (prefrontal) entropy and favored a brain-computer interface application in migraine.