Cognitive Function Clinic, Walton Centre for Neurology and Neurosurgery, Liverpool, United Kingdom.
Cortex. 2022 Apr;149:137-147. doi: 10.1016/j.cortex.2022.01.011. Epub 2022 Jan 31.
Transient global amnesia (TGA) is a rare but well-described neurological disorder characterised by an acute self-limited episode of dense anterograde amnesia with retrograde amnesia of variable extent. Although the clinical phenomenology, neuropsychology, neuroimaging, prognosis, and precipitating and predisposing factors of TGA are well described, the pathogenesis is not currently understood. Existing proposals - epileptic seizure, stroke or transient ischaemic attack, migraine aura - all have shortcomings. Based on a computational neural network model of mnemonic function, a new model of TGA pathogenesis is suggested, along with potential mechanisms, thus generating a potentially testable hypothesis of TGA pathogenesis. Based on the intrinsic neuronal circuitry of the hippocampal formation, specifically the rich CA3 recurrent collateral projections which have previously been characterised as a global autoassociative attractor network, a model of TGA is developed in which loss of fault tolerance, a property of attractor networks, results in catastrophic rather than graceful degradation. Excessive positive feedback through the CA3 recurrent collaterals produces runaway neural firing, with infinite gain in the short CA3 feedback loops, resulting in a singularity or discontinuity manifest as failure of synaptic transmission. In terms of the energy landscape, the system flips to a shallower, low firing rate, basin of attraction. At the mechanistic level, spreading depolarization is suggested to underpin these changes. These considerations permit the construction of a hypothesis of TGA pathogenesis which may have testable, falsifiable, predictions.
短暂性全面遗忘症(TGA)是一种罕见但描述明确的神经障碍,其特征为急性、自限性、严重的顺行性遗忘,伴有程度不一的逆行性遗忘。尽管 TGA 的临床表现、神经心理学、神经影像学、预后以及诱发和促成因素已得到很好的描述,但发病机制尚不清楚。现有的假说——癫痫发作、中风或短暂性脑缺血发作、偏头痛先兆——都存在缺陷。基于记忆功能的计算神经网络模型,提出了 TGA 发病机制的新模型,以及潜在的机制,从而产生了 TGA 发病机制的一个潜在可测试假说。基于海马结构的固有神经元回路,特别是先前被描述为全局自联想吸引器网络的丰富 CA3 反复侧支投射,提出了 TGA 的模型,其中容错性丧失(吸引器网络的特性)导致灾难性而非优雅的退化。通过 CA3 反复侧支的过度正反馈产生失控的神经放电,短 CA3 反馈回路中的增益无穷大,导致作为突触传递失败的奇点或不连续性。就能量景观而言,系统翻转到一个更浅、低发射率的吸引子。在机制层面上,认为扩布性去极化是这些变化的基础。这些考虑使得可以构建 TGA 发病机制的假设,该假设可能具有可测试、可证伪的预测。