Schroeder Gabrielle M, Chowdhury Fahmida A, Cook Mark J, Diehl Beate, Duncan John S, Karoly Philippa J, Taylor Peter N, Wang Yujiang
CNNP Lab, Interdisciplinary Computing and Complex BioSystems Group, School of Computing, Newcastle University, Newcastle upon Tyne, United Kingdom.
UCL Queen Square Institute of Neurology, Queen Square, London, United Kingdom.
Brain Commun. 2022 Jul 6;4(4):fcac173. doi: 10.1093/braincomms/fcac173. eCollection 2022.
A seizure's electrographic dynamics are characterized by its spatiotemporal evolution, also termed dynamical 'pathway', and the time it takes to complete that pathway, which results in the seizure's duration. Both seizure pathways and durations have been shown to vary within the same patient. However, it is unclear whether seizures following the same pathway will have the same duration or if these features can vary independently. We compared within-subject variability in these seizure features using (i) epilepsy monitoring unit intracranial EEG (iEEG) recordings of 31 patients (mean: 6.7 days, 16.5 seizures/subject), (ii) NeuroVista chronic iEEG recordings of 10 patients (mean: 521.2 days, 252.6 seizures/subject) and (iii) chronic iEEG recordings of three dogs with focal-onset seizures (mean: 324.4 days, 62.3 seizures/subject). While the strength of the relationship between seizure pathways and durations was highly subject-specific, in most subjects, changes in seizure pathways were only weakly to moderately associated with differences in seizure durations. The relationship between seizure pathways and durations was strengthened by seizures that were 'truncated' versions, both in pathway and duration, of other seizures. However, the relationship was weakened by seizures that had a common pathway, but different durations ('elasticity'), or had similar durations, but followed different pathways ('semblance'). Even in subjects with distinct populations of short and long seizures, seizure durations were not a reliable indicator of different seizure pathways. These findings suggest that seizure pathways and durations are modulated by multiple different mechanisms. Uncovering such mechanisms may reveal novel therapeutic targets for reducing seizure duration and severity.
癫痫发作的脑电图动态特征在于其时空演变,也称为动态“路径”,以及完成该路径所需的时间,这决定了癫痫发作的持续时间。癫痫发作的路径和持续时间在同一患者体内均已显示出变化。然而,尚不清楚遵循相同路径的癫痫发作是否会具有相同的持续时间,或者这些特征是否可以独立变化。我们使用以下方法比较了这些癫痫发作特征的个体内变异性:(i)31例患者的癫痫监测单元颅内脑电图(iEEG)记录(平均:6.7天,每位患者16.5次发作),(ii)10例患者的NeuroVista慢性iEEG记录(平均:521.2天,每位患者252.6次发作),以及(iii)三只患有局灶性发作的狗的慢性iEEG记录(平均:324.4天,每位患者62.3次发作)。虽然癫痫发作路径和持续时间之间关系的强度具有高度个体特异性,但在大多数受试者中,癫痫发作路径的变化与癫痫发作持续时间的差异仅存在弱至中度关联。癫痫发作路径和持续时间之间的关系因其他癫痫发作在路径和持续时间上的“截断”版本而得到加强。然而,这种关系因具有共同路径但持续时间不同(“弹性”)或持续时间相似但路径不同(“相似性”)的癫痫发作而减弱。即使在具有明显的短程和长程癫痫发作群体的受试者中,癫痫发作持续时间也不是不同癫痫发作路径的可靠指标。这些发现表明,癫痫发作路径和持续时间受多种不同机制调节。揭示这些机制可能会发现减少癫痫发作持续时间和严重程度的新治疗靶点。