Gelinas Jennifer N, Khodagholy Dion
Department of Anatomy and Neurobiology, University of California, Irvine, CA, USA.
Department of Paediatrics, University of California, Irvine, CA, USA.
Nat Rev Neurosci. 2025 Apr 28. doi: 10.1038/s41583-025-00924-3.
Epilepsy is diagnosed when neural networks become capable of generating excessive or hypersynchronous activity patterns that result in observable seizures. In many cases, epilepsy is associated with cognitive comorbidities that persist between seizures and negatively impact quality of life. Dysregulation of the coordinated physiological network interactions that are required for cognitive function has been implicated in mediating these enduring symptoms, but the causal mechanisms are often elusive. Here, we provide an overview of neural network abnormalities with the potential to contribute to cognitive dysfunction in epilepsy. We examine these pathological interactions across spatial and temporal scales, additionally highlighting the dynamics that arise in response to the brain's intrinsic capacity for plasticity. Understanding these processes will facilitate development of network-level interventions to address cognitive comorbidities that remain undertreated by currently available epilepsy therapeutics.
当神经网络能够产生导致可观察到的癫痫发作的过度或超同步活动模式时,癫痫即被诊断出来。在许多情况下,癫痫与认知共病有关,这些共病在癫痫发作间歇期持续存在,并对生活质量产生负面影响。认知功能所需的协调生理网络相互作用失调被认为是介导这些持久症状的原因,但因果机制往往难以捉摸。在这里,我们概述了可能导致癫痫认知功能障碍的神经网络异常。我们在空间和时间尺度上研究这些病理相互作用,此外还强调了响应大脑内在可塑性能力而出现的动态变化。了解这些过程将有助于开发网络层面的干预措施,以解决目前可用的癫痫治疗方法仍未充分治疗的认知共病问题。