Adhikari Bhim M, Epstein Charles M, Dhamala Mukesh
Department of Physics and Astronomy, Georgia State University, Atlanta, Georgia 30303-4106, USA.
Phys Rev E Stat Nonlin Soft Matter Phys. 2013 Sep;88(3):030701. doi: 10.1103/PhysRevE.88.030701. Epub 2013 Sep 19.
Accurate localization of the epileptic seizure onset zones (SOZs) is crucial for successful surgery, which usually depends on the information obtained from intracranial electroencephalography (IEEG) recordings. The visual criteria and univariate methods of analyzing IEEG recordings have not always produced clarity on the SOZs for resection and ultimate seizure freedom for patients. Here, to contribute to improving the localization of the SOZs and to understanding the mechanism of seizure propagation over the brain, we applied spectral interdependency methods to IEEG time series recorded from patients during seizures. We found that the high-frequency (>80 Hz) Granger causality (GC) occurs before the onset of any visible ictal activity and causal relationships involve the recording electrodes where clinically identifiable seizures later develop. These results suggest that high-frequency oscillatory network activities precede and underlie epileptic seizures, and that GC spectral measures derived from IEEG can assist in precise delineation of seizure onset times and SOZs.
准确确定癫痫发作起始区(SOZs)对于手术成功至关重要,这通常依赖于从颅内脑电图(IEEG)记录中获得的信息。分析IEEG记录的视觉标准和单变量方法并不总能明确确定用于切除的SOZs以及实现患者最终癫痫发作自由。在此,为了有助于改进SOZs的定位并理解癫痫发作在大脑中的传播机制,我们将频谱相互依赖方法应用于癫痫发作期间患者记录的IEEG时间序列。我们发现高频(>80 Hz)格兰杰因果关系(GC)在任何可见发作活动开始之前就已出现,且因果关系涉及随后临床上可识别癫痫发作发生处的记录电极。这些结果表明高频振荡网络活动先于癫痫发作并构成其基础,并且从IEEG得出的GC频谱测量可协助精确描绘癫痫发作起始时间和SOZs。