Personalised medicine requires that treatments adapt to not only the patient, but changing
factors within each individual. Although epilepsy is a dynamic disorder that is characterised …

Nearly 1% of the global population has Epilepsy. Forecasting epileptic seizures with an
acceptable confidence level, could improve the disease treatment and thus the lifestyle of …

脑信号跨频耦合现象与人的意识活动密切相关. 本文将精细化的频带划分方法和多种跨频耦合的
度量方法相结合, 研究不同类型手腕运动的脑磁信号跨频耦合特征. 首先对四类手运动脑磁信号 …

While the past decade has seen a surge of research regarding canine cognition, this
newfound interest has not caught the attention of many philosophers. Studies pertaining to …

This article introduces a machine learning approach, based on a nonparametric, decision-
tree-based random survival forest (RSF) model, for a continuous prognosis of epileptic …

Electrical brain stimulation (EBS) has emerged as an effective treatment for a wide range of
neurologic and psychiatric diseases. Epilepsy should benefit from systems providing …

Multiple mechanisms shape the relationship between pathway and duration of focal seizures
Page 1 Multiple mechanisms shape the relationship between pathway and duration of focal …

Dogs with idiopathic epilepsy (IE) commonly present with complex behavioural profiles.
Limited tools exist to objectively quantify and classify canine behaviour in epilepsy. Tools …

Epilepsy is one of the most prevalent neurological conditions, affecting approximately 1% of
the global population. While Antiepileptic Drugs (AEDs) have demonstrated effectiveness in …

Many animal models in different species have been developed for mental and behavioral
disorders. This review presents large animals (dog, ovine, swine, horse) as potential models …