Title : Altered time-frequency feature of temporal lobe epilepsy based on improved hilbert-huang transform
Abstract:
Background and Purpose: Temporal Lobe Epilepsy (TLE) is a neurological disorder with abnormal discharges in the temporal region of the brain. However, the abnormalities in the time-frequency features of brain regions in TLE has not yet been revealed. Hilbert-Huang Transform (HHT) is beneficial for feature extraction of biomedical signals and has been considered an effective method for exploring time-frequency features of brain mechanisms in recent years.
Methods: Time-frequency analysis of resting-state functional magnetic resonance imaging dataset from 55 subjects, including 23 TLE participants and 32 Normal Controls (NC) were performed using the improved HHT method and Hilbert Weighted Frequency (HWF) were calculated. Subsequently, the two-sample t-test was used to select the differences between groups based on HWF and verification with support vector machine.
Results: Compared with NC, TLE showed abnormal HWF were mainly in the precentral gyrus and parahippocampal gyrus. The accuracy of identifying TLE patients using HWF with significant abnormal was 96.36%, which was better than that of Short-Time Fourier (STFT) and Wavelet Transforms (WT).
Conclusion: This study confirms the effectiveness of HHT in capturing abnormal activation from brain in TLE. In addition, HWF was identified a potential neuroimaging biomarker of diagnostic reference for TLE, assisting in the clinical diagnosis of TLE.
