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Application of HFO and scaling analysis of neuronal oscillations in the presurgical evaluation of focal epilepsy

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机构: [1]School of Biological Science and Medical Engineering, Beihang University, Beijing 100191, China [2]Beijing Advanced Innovation Centre for Big Data-Based Precision Medicine, Beihang University, Beijing, China [3]Beijing Advanced Innovation Centre for Biomedical Engineering, Beihang University, Beijing, China [4]Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China [5]Brain Functional Disease and Neuromodulation of Beijing Key Laboratory, Beijing 100053, China [6]Hefei Innovation Research Institute, Beihang University, Hefei, Anhui, China
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关键词: MEG Ripple LRTCs Source location Epilepsy Presurgical evaluation

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To explore the utility of high frequency oscillations (HFO) and long-range temporal correlations (LRTCs) in preoperative assessment of epilepsy.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.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.HFO and source-level LRTCs are correlated with EZ. Integrating HFO and LRTCs may be an effective approach for presurgical evaluation of epilepsy.Copyright © 2024 The Author(s). Published by Elsevier Inc. All rights reserved.

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出版当年[2023]版:
大类 | 3 区 医学
小类 | 3 区 神经科学
最新[2023]版:
大类 | 3 区 医学
小类 | 3 区 神经科学
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Q2 NEUROSCIENCES
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Q2 NEUROSCIENCES

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第一作者机构: [1]School of Biological Science and Medical Engineering, Beihang University, Beijing 100191, China [2]Beijing Advanced Innovation Centre for Big Data-Based Precision Medicine, Beihang University, Beijing, China [3]Beijing Advanced Innovation Centre for Biomedical Engineering, Beihang University, Beijing, China
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通讯机构: [1]School of Biological Science and Medical Engineering, Beihang University, Beijing 100191, China [2]Beijing Advanced Innovation Centre for Big Data-Based Precision Medicine, Beihang University, Beijing, China [3]Beijing Advanced Innovation Centre for Biomedical Engineering, Beihang University, Beijing, China [4]Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China [5]Brain Functional Disease and Neuromodulation of Beijing Key Laboratory, Beijing 100053, China [6]Hefei Innovation Research Institute, Beihang University, Hefei, Anhui, China
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