Aix Marseille Université, INSERM, INS, Institut de Neurosciences des Systèmes, Marseille, France
Allen Discovery Center, Tufts University, Medford, Massachusetts.
J Neurosci. 2023 Sep 20;43(38):6573-6587. doi: 10.1523/JNEUROSCI.0383-23.2023. Epub 2023 Aug 7.
Comorbidities, such as cognitive deficits, which often accompany epilepsies, constitute a basal state, while seizures are rare and transient events. This suggests that neural dynamics, in particular those supporting cognitive function, are altered in a permanent manner in epilepsy. Here, we test the hypothesis that primitive processes of information processing at the core of cognitive function (i.e., storage and sharing of information) are altered in the hippocampus and the entorhinal cortex in experimental epilepsy in adult, male Wistar rats. We find that information storage and sharing are organized into substates across the stereotypic states of slow and theta oscillations in both epilepsy and control conditions. However, their internal composition and organization through time are disrupted in epilepsy, partially losing brain state selectivity compared with controls, and shifting toward a regimen of disorder. We propose that the alteration of information processing at this algorithmic level of computation, the theoretical intermediate level between structure and function, may be a mechanism behind the emergent and widespread comorbidities associated with epilepsy, and perhaps other disorders. Comorbidities, such as cognitive deficits, which often accompany epilepsies, constitute a basal state, while seizures are rare and transient events. This suggests that neural dynamics, in particular those supporting cognitive function, are altered in a permanent manner in epilepsy. Here, we show that basic processes of information processing at the core of cognitive function (i.e., storage and sharing of information) are altered in the hippocampus and the entorhinal cortex (two regions involved in memory processes) in experimental epilepsy. Such disruption of information processing at the algorithmic level itself could underlie the general performance impairments in epilepsy.
合并症，如认知缺陷，常与癫痫相伴，构成基础状态，而癫痫发作则是罕见和短暂的事件。这表明，在癫痫中，神经动态，特别是支持认知功能的神经动态，以一种永久的方式发生改变。在这里，我们测试了这样一个假设，即在认知功能的核心（即信息的存储和共享）的原始信息处理过程中，在成年雄性 Wistar 大鼠的实验性癫痫中，海马体和内嗅皮层的神经动态会发生改变。我们发现，在癫痫和对照条件下，信息存储和共享会在慢波和θ波的刻板状态下组织成亚状态。然而，它们的内部组成和随时间的组织在癫痫中被打乱，与对照相比，部分丧失了大脑状态选择性，并向紊乱状态转变。我们提出，在这种计算的算法水平上的信息处理的改变，即结构和功能之间的理论中间水平，可能是与癫痫相关的新兴和广泛合并症的背后机制，也许还有其他疾病。合并症，如认知缺陷，常与癫痫相伴，构成基础状态，而癫痫发作则是罕见和短暂的事件。这表明，在癫痫中，神经动态，特别是支持认知功能的神经动态，以一种永久的方式发生改变。在这里，我们证明了认知功能核心的基本信息处理过程（即信息的存储和共享）在海马体和内嗅皮层（参与记忆过程的两个区域）中发生了改变。这种算法水平上的信息处理中断本身可能是癫痫中一般表现障碍的基础。
