Abbaszadeh Behrooz, Fard Reza Saadati, Yagoub Mustapha C E
Annu Int Conf IEEE Eng Med Biol Soc. 2020 Jul;2020:3699-3702. doi: 10.1109/EMBC44109.2020.9176486.
Time- and frequency-domain studies of EEG signals are most commonly employed to study the electrical activities of the brain in order to diagnose potential neurological disorders. In this work, we applied the global coherence approach to help estimating the neural synchrony across multiple nodes in the brain, prior and during a seizure. The ratio of the largest eigenvalue to the sum of the eigenvalues of the cross spectral matrix at a certain frequency and time allowed detecting a strong coordinated neural activity in alpha sub-band for the frontal lobe epilepsy. Kruskal Wallis test reveals that global coherence is an efficient tool before the seizure for the temporal lobe epilepsy in a wide range of frequencies from Delta to Beta sub-bands.Clinical Relevance-The work introduces global coherence as a new and efficient feature in prediction of seizure and specifically for the frontal lobe epilepsy.
脑电图（EEG）信号的时域和频域研究最常用于研究大脑的电活动，以诊断潜在的神经系统疾病。在这项工作中，我们应用全局相干方法来帮助估计癫痫发作前和发作期间大脑多个节点之间的神经同步性。在特定频率和时间下，交叉谱矩阵的最大特征值与特征值之和的比值能够检测出额叶癫痫在α子带中的强烈协同神经活动。Kruskal Wallis检验表明，对于颞叶癫痫，在从δ到β子带的广泛频率范围内，全局相干是癫痫发作前的一种有效工具。临床相关性——这项工作引入了全局相干作为癫痫预测中的一种新的有效特征，特别是对于额叶癫痫。
