Chauvel Patrick, McGonigal Aileen
Institut de Neurosciences des Systèmes, INSERM UMR 1106, Marseille, France; Aix Marseille Université, Faculté de Médecine, Marseille, France; Service de Neurophysiologie Clinique, Hôpital de la Timone, Assistance Publique des Hôpitaux de Marseille, Marseille, France.
Institut de Neurosciences des Systèmes, INSERM UMR 1106, Marseille, France; Aix Marseille Université, Faculté de Médecine, Marseille, France; Service de Neurophysiologie Clinique, Hôpital de la Timone, Assistance Publique des Hôpitaux de Marseille, Marseille, France.
Epilepsy Behav. 2014 Sep;38:94-103. doi: 10.1016/j.yebeh.2013.12.003. Epub 2014 Jan 11.
Semiology, the manifestation of epilepsy, is dependent upon electrical activity produced by epileptic seizures that are organized within existing neural pathways. Clinical signs evolve as the epileptic discharge spreads in both time and space. Studying the relation between these, of which the temporal component is at least as important as the spatial one, is possible using anatomo-electro-clinical correlations of stereoelectroencephalography (SEEG) data. The period of semiology production occurs with variable time lag after seizure onset and signs then emerge more or less rapidly depending on seizure type (temporal seizures generally propagating more slowly and frontal seizures more quickly). The subset of structures involved in semiological production, the "early spread network", is tightly linked to those constituting the epileptogenic zone. The level of complexity of semiological features varies according to the degree of involvement of the primary or associative cortex, with the former having a direct relation to peripheral sensory and motor systems with production of hallucinations (visual and auditory) or elementary sensorimotor signs. Depending on propagation pattern, these signs can occur in a "march" fashion as described by Jackson. On the other hand, seizures involving the associative cortex, having a less direct relation with the peripheral nervous system, and necessarily involving more widely distributed networks manifest with altered cognitive and/or behavioral signs whose neural substrate involves a network of cortical structures, as has been observed for normal cognitive processes. Other than the anatomical localization of these structures, the frequency of the discharge is a crucial determinant of semiological effect since a fast (gamma) discharge will tend to deactivate normal function, whereas a slower theta discharge can mimic physiological function. In terms of interaction between structures, the degree of synchronization plays a key role in clinical expression, as evidenced, for example, by studies of ictal fear-related behavior (decorrelation of activity between structures inducing "release" phenomena) and of déjà vu (increased synchronization). Studies of functional coupling within networks underlying complex ictal behavior indicate that the clinical semiology of a given seizure depends upon neither the anatomical origin of ictal discharge nor the target areas of its propagation alone but on the dynamic interaction between these. Careful mapping of the ictal network in its full spread offers essential information as to the localization of seizure onset, by deducing that a given network configuration could only be generated by a given area or group of areas.
癫痫的症状学,即癫痫的表现形式,取决于癫痫发作所产生的电活动,这些电活动在现有的神经通路中组织形成。临床体征会随着癫痫放电在时间和空间上的扩散而演变。利用立体脑电图(SEEG)数据的解剖 - 电 - 临床相关性,研究这些因素之间的关系是可行的,其中时间成分至少与空间成分同样重要。症状学产生的时期在癫痫发作开始后有不同的时间延迟,然后症状会根据癫痫发作类型或多或少迅速出现(颞叶癫痫通常传播较慢,额叶癫痫传播较快)。参与症状学产生的结构子集,即“早期传播网络”,与构成致痫区的结构紧密相连。症状学特征的复杂程度根据初级或联合皮层的受累程度而有所不同,前者与外周感觉和运动系统直接相关,会产生幻觉(视觉和听觉)或基本的感觉运动体征。根据传播模式,这些体征可能会以杰克逊所描述的“进展”方式出现。另一方面,涉及联合皮层的癫痫发作与外周神经系统的关系不那么直接,必然涉及分布更广泛的网络,表现为认知和/或行为体征改变,其神经基础涉及一个皮层结构网络,这与正常认知过程中所观察到的情况相同。除了这些结构的解剖定位外,放电频率是症状学效应的关键决定因素,因为快速(γ)放电往往会使正常功能失活,而较慢的θ放电可以模拟生理功能。就结构之间的相互作用而言,同步程度在临床表达中起关键作用,例如,对发作期恐惧相关行为(结构之间活动的去相关诱导“释放”现象)和似曾相识感(同步增加)的研究就证明了这一点。对复杂发作期行为背后网络内功能耦合的研究表明,特定癫痫发作的临床症状学既不取决于发作期放电的解剖起源,也不单独取决于其传播的目标区域,而是取决于这些因素之间的动态相互作用。通过推断给定的网络配置只能由特定区域或区域组产生,对完整传播的发作期网络进行仔细映射可提供有关癫痫发作起始定位的重要信息。