Li Kwan Tung, Ji Daoyun, Zhou Changsong
Department of Physics, Centre for Nonlinear Studies, Beijing-Hong Kong-Singapore Joint Centre for Nonlinear and Complex Systems (Hong Kong), Institute of Computational and Theoretical Studies, Hong Kong Baptist University, Hong Kong, China.
Research Center for Augmented Intelligence, Research Institute of Artificial Intelligence, Zhejiang Lab, Hangzhou 311100, China.
iScience. 2023 May 29;26(7):106931. doi: 10.1016/j.isci.2023.106931. eCollection 2023 Jul 21.
Neuronal impairment is a characteristic of Alzheimer's disease (AD), but its effect on neural activity dynamics underlying memory deficits is unclear. Here, we studied the effects of synaptic impairment on neural activities associated with memory recall, memory rescue, and learning a new memory, in an integrate-and-fire neuronal network. Our results showed that reducing connectivity decreases the neuronal synchronization of memory neurons and impairs memory recall performance. Although, slow-gamma stimulation rescued memory recall and slow-gamma oscillations, the rescue caused a side effect of activating mixed memories. During the learning of a new memory, reducing connectivity caused impairment in storing the new memory, but did not affect previously stored memories. We also explored the effects of other types of impairments including neuronal loss and excitation-inhibition imbalance and the rescue by general increase of excitability. Our results reveal potential computational mechanisms underlying the memory deficits caused by impairment in AD.
神经元损伤是阿尔茨海默病(AD)的一个特征,但其对记忆缺陷背后神经活动动力学的影响尚不清楚。在此,我们在一个积分发放神经元网络中研究了突触损伤对与记忆回忆、记忆挽救以及学习新记忆相关的神经活动的影响。我们的结果表明,降低连接性会降低记忆神经元的神经元同步性,并损害记忆回忆表现。尽管慢γ刺激挽救了记忆回忆和慢γ振荡,但这种挽救导致了激活混合记忆的副作用。在学习新记忆的过程中,降低连接性会导致新记忆存储受损,但不影响先前存储的记忆。我们还探讨了其他类型损伤的影响,包括神经元丢失和兴奋-抑制失衡以及通过普遍提高兴奋性进行的挽救。我们的结果揭示了AD中损伤导致记忆缺陷背后的潜在计算机制。