Magnetoencephalography (MEG) is now widely used in clinical examinations and medical research in many fields. Resting-state magnetoencephalography-based brain network analysis can be used to study the physiological or pathological mechanisms of the brain. Furthermore, magnetoencephalography analysis has a significant reference value for the diagnosis of epilepsy. The scope of the proposed research is that this research demonstrates how to locate spikes in the phase locking functional brain connectivity network of the Desikan-Killiany brain region division using a neural network approach. It also improves detection accuracy and reduces missed and false detection rates. The automatic classification of epilepsy encephalomagnetic signals can make timely judgments on the patient’s condition, which is of tremendous clinical significance. The existing literature’s research on the automatic type of epilepsy EEG signals is relatively sufficient, but the research on epilepsy EEG signals is relatively weak. A full-band machine learning automatic discrimination method of epilepsy brain magnetic spikes based on the brain functional connection network is proposed. The four classifiers are comprehensively compared. The classifier with the best effect is selected, and the discrimination accuracy can reach 93.8%. Therefore, this method has a good application prospect in automatically identifying and labeling epileptic spikes in magnetoencephalography.

The purpose of this study was to prevent anaemia caused on long-term phenytoin treatment among Epileptic patients. Therefore, two groups were categorised based on the duration of phenytoin namely, cases and control. The duration of Phenytoin treatment for case was > 2 years while control had < 1 year. The estimation of serum Folate and Vitamin B12 was carried out and the association between the deficiency of Vitamins with the duration of treatment were evaluated using Linear Regression Analysis. The statistical results shown that the mean value of Folate (2.61 ± 1.81) and the mean value of Vitamin B12 (284.68 ± 110.12) were considered to be low as the duration of Phenytoin treatment increases (> 2 years) compare to control with the Folate concentration of (7.01 ± 4.40) which was statistically significant (p < 0.000). The experimental results have proved that a long-term phenytoin treatment significantly affects the concentration of Folate and Vitamin B12 among the Epileptic patients vigorously.

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