Discriminating preictal and interictal states in patients with temporal lobe epilepsy using wavelet analysis of intracerebral EEG

作者：Gadhoumi Kais^*; Lina Jean Marc; Gotman Jean

来源：Clinical Neurophysiology, 2012, 123(10): 1906-1916.

DOI：10.1016/j.clinph.2012.03.001

• Temporal lobe epilepsy
• Discriminant analysis
• Wavelet energy and entropy
• Continuous wavelet transform
• Seizure prediction
• Validation

Objective: Identification of consistent distinguishing features between preictal and interictal periods in the EEG is an essential step towards performing seizure prediction. We propose a novel method to separate preictal and interictal states based on the analysis of the high frequency activity of intracerebral EEGs in patients with mesial temporal lobe epilepsy.
Methods: Wavelet energy and entropy were computed in sliding window fashion from preictal and interictal epochs. A comparison of their organization in a 2 dimensional space was carried out using three features quantifying the similarities between their underlying states and a reference state. A discriminant analysis was then used in the features space to classify epochs. Performance was assessed based on sensitivity and false positive rates and validation was performed using a bootstrapping approach.
Results: Preictal and interictal epochs were discriminable in most patients on a subset of channels that were found to be close or within the seizure onset zone.
Conclusions: Preictal and interictal states were separable using measures of similarity with the reference state. Discriminability varies with frequency bands.
Significance: This method is useful to discriminate preictal from interictal states in intracerebral EEGs and could be useful for seizure prediction.

• 出版日期2012-10