PDF(Pubmed)
Abstract：
Network analysis of the marmoset cortical connectivity data indicates a significant 3D cluster in and around the pre-frontal cortex. A multi-node, heterogeneous neural mass model of this six-node cluster was constructed. Its parameters were informed by available experimental and simulation data so that each neural mass oscillated in a characteristic frequency band. Nodes were connected with directed, weighted links derived from the marmoset structural connectivity data. Heterogeneity arose from the different link weights and model parameters for each node. Stimulation of the cluster with an incident pulse train modulated in the standard frequency bands induced a variety of dynamical state transitions that lasted in the range of 5-10 s, suggestive of timescales relevant to short-term memory. A short gamma burst rapidly reset the beta-induced transition. The theta-induced transition state showed a spontaneous, delayed reset to the resting state. An additional, continuous gamma wave stimulus induced a new beating oscillatory state. Longer or repeated gamma bursts were phase-aligned with the beta oscillation, delivering increasing energy input and causing shorter transition times. The relevance of these results to working memory is yet to be established, but they suggest interesting opportunities.
摘要：
对Marmoset皮层连通性数据的网络分析表明，前额叶皮层及其周围存在大量3D聚类。一个多节点，构建了该六节点簇的异质神经质量模型。其参数由可用的实验和模拟数据告知，以便每个神经团块在特征频率带中振荡。节点与定向连接，加权链接来自于Marmoset结构连通性数据。每个节点的链路权重和模型参数不同会产生异质性。用在标准频带中调制的入射脉冲序列刺激集群，会引起各种动态状态转变，持续5-10s，暗示与短期记忆相关的时间尺度。短暂的伽马爆发迅速重置了β诱导的跃迁。θ诱导的过渡态表现为自发的，延迟复位到静止状态。一个额外的,连续的伽马波刺激引起了新的跳动振荡状态。更长或重复的伽马爆发与β振荡相位对齐，提供增加的能量输入和导致更短的过渡时间。这些结果与工作记忆的相关性尚未确定，但他们提出了有趣的机会。
