T. Iwata, T. Yanagisawa, R. Fukuma, Y. Ikegaya, S. Oshino, N. Tani, H. M. Khoo, H. Sugano, Y. Iimura, H. Suzuki, H. Kishima
{"title":"海马波纹与皮层德尔塔功率之间的夜间同步是海马致痫性的生物标志物","authors":"T. Iwata, T. Yanagisawa, R. Fukuma, Y. Ikegaya, S. Oshino, N. Tani, H. M. Khoo, H. Sugano, Y. Iimura, H. Suzuki, H. Kishima","doi":"10.1101/2024.06.05.24308489","DOIUrl":null,"url":null,"abstract":"Objective: Hippocampal ripples are biomarkers of epileptogenicity in patients with epilepsy, and physiological features characterize memory function in healthy individuals. Discriminating between pathological and physiological ripples is important for identifying the epileptogenic (EP) zone; however, distinguishing them from waveforms is difficult. This study hypothesized that the nocturnal synchronization of hippocampal ripples and cortical delta power classifies EP and physiological hippocampi. Methods: We enrolled 38 patients with electrodes implanted in the hippocampus or the parahippocampal gyrus between April 2014 and March 2023 at our institution. We classified 11 patients (11 hippocampi) into the EP group, who were pathologically diagnosed with hippocampal sclerosis, and five patients (six hippocampi) into the non-epileptogenic (NE) group, whose hippocampi had no epileptogenicity. Hippocampal ripples were detected using intracranial electroencephalography of the hippocampal or parahippocampal electrodes and presented as ripple rates per second. Cortical delta power (0.5-4 Hz) was assessed using cortical electrodes. The Pearson correlation coefficient between the ripple rates and the cortical delta power (CRD) was calculated for the intracranial electroencephalographic signals obtained every night during the recordings. Results: Hippocampal ripples detected from continuous recording for approximately 10 days demonstrated similar frequency characteristics between the EP and NE groups. However, CRDs in the EP group (mean [standard deviation]: 0.20 [0.049]) were significantly lower than those in the NE group (0.67 [0.070], F (1,124) = 29.6, p < 0.0001 (group), F (9,124) = 1.0, p = 0.43 (day); two-way analysis of variance). Based on the minimum CRDs during the 10-day recordings, the two groups were classified with 94.1% accuracy. Conclusion: CRD is a biomarker of hippocampal epileptogenicity.","PeriodicalId":506788,"journal":{"name":"medRxiv","volume":"11 44","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Nocturnal synchronization between hippocampal ripples and cortical delta power is a biomarker of hippocampal epileptogenicity\",\"authors\":\"T. Iwata, T. Yanagisawa, R. Fukuma, Y. Ikegaya, S. Oshino, N. Tani, H. M. Khoo, H. Sugano, Y. Iimura, H. Suzuki, H. Kishima\",\"doi\":\"10.1101/2024.06.05.24308489\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Objective: Hippocampal ripples are biomarkers of epileptogenicity in patients with epilepsy, and physiological features characterize memory function in healthy individuals. Discriminating between pathological and physiological ripples is important for identifying the epileptogenic (EP) zone; however, distinguishing them from waveforms is difficult. This study hypothesized that the nocturnal synchronization of hippocampal ripples and cortical delta power classifies EP and physiological hippocampi. Methods: We enrolled 38 patients with electrodes implanted in the hippocampus or the parahippocampal gyrus between April 2014 and March 2023 at our institution. We classified 11 patients (11 hippocampi) into the EP group, who were pathologically diagnosed with hippocampal sclerosis, and five patients (six hippocampi) into the non-epileptogenic (NE) group, whose hippocampi had no epileptogenicity. Hippocampal ripples were detected using intracranial electroencephalography of the hippocampal or parahippocampal electrodes and presented as ripple rates per second. Cortical delta power (0.5-4 Hz) was assessed using cortical electrodes. The Pearson correlation coefficient between the ripple rates and the cortical delta power (CRD) was calculated for the intracranial electroencephalographic signals obtained every night during the recordings. Results: Hippocampal ripples detected from continuous recording for approximately 10 days demonstrated similar frequency characteristics between the EP and NE groups. However, CRDs in the EP group (mean [standard deviation]: 0.20 [0.049]) were significantly lower than those in the NE group (0.67 [0.070], F (1,124) = 29.6, p < 0.0001 (group), F (9,124) = 1.0, p = 0.43 (day); two-way analysis of variance). Based on the minimum CRDs during the 10-day recordings, the two groups were classified with 94.1% accuracy. 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引用次数: 0
摘要
目的:海马波纹是癫痫患者致痫性的生物标志物,而生理特征则是健康人记忆功能的特征。区分病理性波纹和生理性波纹对于识别致痫区非常重要,但将它们与波形区分开来却很困难。本研究假设,海马波纹和皮层德尔塔功率的夜间同步性可对 EP 和生理性海马进行分类。研究方法2014年4月至2023年3月期间,我们在本机构招募了38名在海马或海马旁回植入电极的患者。我们将11名患者(11个海马)分为EP组,他们被病理诊断为海马硬化;将5名患者(6个海马)分为非致痫组(NE),他们的海马没有致痫性。海马波纹是通过海马或海马旁电极的颅内脑电图检测到的,并以每秒波纹率表示。皮质德尔塔功率(0.5-4 赫兹)通过皮质电极进行评估。对每晚记录的颅内脑电信号,计算波纹率与皮层德尔塔功率(CRD)之间的皮尔逊相关系数。结果连续记录约 10 天检测到的海马波纹在 EP 组和 NE 组之间表现出相似的频率特性。然而,EP 组的 CRDs(平均值[标准差]:0.20 [0.049])明显低于 NE 组(0.67 [0.070],F (1,124) = 29.6,p < 0.0001(组),F (9,124) = 1.0,p = 0.43(天);双向方差分析)。根据 10 天记录中的最小 CRD,两组的分类准确率为 94.1%。结论CRD是海马致痫性的生物标志物。
Nocturnal synchronization between hippocampal ripples and cortical delta power is a biomarker of hippocampal epileptogenicity
Objective: Hippocampal ripples are biomarkers of epileptogenicity in patients with epilepsy, and physiological features characterize memory function in healthy individuals. Discriminating between pathological and physiological ripples is important for identifying the epileptogenic (EP) zone; however, distinguishing them from waveforms is difficult. This study hypothesized that the nocturnal synchronization of hippocampal ripples and cortical delta power classifies EP and physiological hippocampi. Methods: We enrolled 38 patients with electrodes implanted in the hippocampus or the parahippocampal gyrus between April 2014 and March 2023 at our institution. We classified 11 patients (11 hippocampi) into the EP group, who were pathologically diagnosed with hippocampal sclerosis, and five patients (six hippocampi) into the non-epileptogenic (NE) group, whose hippocampi had no epileptogenicity. Hippocampal ripples were detected using intracranial electroencephalography of the hippocampal or parahippocampal electrodes and presented as ripple rates per second. Cortical delta power (0.5-4 Hz) was assessed using cortical electrodes. The Pearson correlation coefficient between the ripple rates and the cortical delta power (CRD) was calculated for the intracranial electroencephalographic signals obtained every night during the recordings. Results: Hippocampal ripples detected from continuous recording for approximately 10 days demonstrated similar frequency characteristics between the EP and NE groups. However, CRDs in the EP group (mean [standard deviation]: 0.20 [0.049]) were significantly lower than those in the NE group (0.67 [0.070], F (1,124) = 29.6, p < 0.0001 (group), F (9,124) = 1.0, p = 0.43 (day); two-way analysis of variance). Based on the minimum CRDs during the 10-day recordings, the two groups were classified with 94.1% accuracy. Conclusion: CRD is a biomarker of hippocampal epileptogenicity.