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Averaging in time-frequency domain reveals the temporal and spatial extent of seizures recorded by scalp EEG.

作者信息

Alkawadri Rafeed, Gaspard Nicolas

机构信息

The Department of Neurology, School of Medicine, Yale University New Haven, CT 06520-8018, Yale Human Brain Mapping Program, Yale University New Haven, CT 06520-8018, USA.

Hôpital Erasme - ULB. Cliniques universitaires de Bruxelles. Route de Lennik 808 - B - 1070 Bruxelles, Belgium.

出版信息

Epileptic Disord. 2018 Apr 1;20(2):132-138. doi: 10.1684/epd.2018.0962.

DOI:10.1684/epd.2018.0962
PMID:29623876
Abstract

To demonstrate the importance of averaging in time-frequency space and the added localizing value in time and space in a case of cortical myoclonus. One hundred myoclonic jerks were averaged in time series and in spectral domain. For the latter, we chose 100 (10-second) segments from interictal background and used the unpaired t-test for the jerk-related and control spectral data to obtain the t value and corresponding p value at each pixel. We corrected for multiple comparisons using false discovery rate procedure. We generated maps of spectral significance per electrode. All insignificant t-values were converted to 0 for easier visual analysis. Standard back-averaging of 100 jerks disclosed a single spike preceding EMG activity by 19-27 milliseconds. No other definite ictal patterns were discernible in the time domain. Statistical analysis of the same 100 epochs in the time-frequency domain disclosed a greater temporal extent of the seizure, as well as a more detailed rendering of rhythms and frequencies involved. Valproate was added and led to substantial improvement. Averaging in the spectral domain may reveal frequency-specific changes that may not be otherwise appreciated in the time domain. Future studies may elucidate the effect on the sensitivity of diagnosis of simple partial seizures and auras.

摘要

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引用本文的文献

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Brain-Computer Interface (BCI) Applications in Mapping of Epileptic Brain Networks Based on Intracranial-EEG: An Update.基于颅内脑电图的脑机接口在癫痫脑网络映射中的应用:最新进展
Front Neurosci. 2019 Mar 27;13:191. doi: 10.3389/fnins.2019.00191. eCollection 2019.