%0 Journal Article
%T Application of HFO and scaling analysis of neuronal oscillations in the presurgical evaluation of focal epilepsy.
%A Shi LJ
%A Li CC
%A Zhang XT
%A Lin YC
%A Wang YP
%A Zhang JC
%J Brain Res Bull
%V 215
%N 0
%D 2024 Jun 20
%M 38908759
%F 3.715
%R 10.1016/j.brainresbull.2024.111018
%X <B>OBJECTIVE: </B>To explore the utility of high frequency oscillations (HFO) and long-range temporal correlations (LRTCs) in preoperative assessment of epilepsy.<BR><B>METHODS: </B>MEG ripples were detected in 59 drug-resistant epilepsy patients, comprising 5 with parietal lobe epilepsy (PLE), 21 with frontal lobe epilepsy (FLE), 14 with lateral temporal lobe epilepsy (LTLE), and 19 with mesial temporal lobe epilepsy (MTLE) to identify the epileptogenic zone (EZ). The results were compared with clinical MEG reports and resection area. Subsequently, LRTCs were quantified at the source-level by detrended fluctuation analysis (DFA) and life/waiting -time at 5 bands for 90 cerebral cortex regions. The brain regions with larger DFA exponents and standardized life-waiting biomarkers were compared with the resection results.<BR><B>RESULTS: </B>Compared to MEG sensor-level data, ripple sources were more frequently localized within the resection area. Moreover, source-level analysis revealed a higher proportion of DFA exponents and life-waiting biomarkers with relatively higher rankings, primarily distributed within the resection area (p<0.01). Moreover, these two LRCT indices across five distinct frequency bands correlated with EZ.<BR><B>CONCLUSIONS: </B>HFO and source-level LRTCs are correlated with EZ. Integrating HFO and LRTCs may be an effective approach for presurgical evaluation of epilepsy.