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Hetereogeneity in Neuronal Intrinsic Properties: A Possible Mechanism for Hub-Like Properties of the Rat Anterior Cingulate Cortex during Network Activity

机译:神经元内在特性的异质性:网络活动过程中大鼠前扣带皮层的类似轮毂特性的可能机制

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摘要

The anterior cingulate cortex (ACC) is vital for a range of brain functions requiring cognitive control and has highly divergent inputs and outputs, thus manifesting as a hub in connectomic analyses. Studies show diverse functional interactions within the ACC are associated with network oscillations in the β (20–30 Hz) and γ (30-80 Hz) frequency range. Oscillations permit dynamic routing of information within cortex, a function that depends on bandpass filter–like behavior to selectively respond to specific inputs. However, a putative hub region such as ACC needs to be able to combine inputs from multiple sources rather than select a single input at the expense of others. To address this potential functional dichotomy, we modeled local ACC network dynamics in the rat in vitro. Modal peak oscillation frequencies in the β- and γ-frequency band corresponded to GABAAergic synaptic kinetics as seen in other regions; however, the intrinsic properties of ACC principal neurons were highly diverse. Computational modeling predicted that this neuronal response diversity broadened the bandwidth for filtering rhythmic inputs and supported combination—rather than selection—of different frequencies within the canonical γ and β electroencephalograph bands. These findings suggest that oscillating neuronal populations can support either response selection (routing) or combination, depending on the interplay between the kinetics of synaptic inhibition and the degree of heterogeneity of principal cell intrinsic conductances.
机译:前扣带回皮质(ACC)对于需要认知控制的一系列大脑功能至关重要,并具有高度分散的输入和输出,因此表现为连接体分析的枢纽。研究表明,ACC中的各种功能相互作用与β(20–30 Hz)和γ(30-80 Hz)频率范围内的网络振荡相关。振荡允许皮质内信息的动态路由,该功能依赖于类似带通滤波器的行为来选择性地响应特定输入。但是,假定的中心区域(例如ACC)需要能够组合来自多个来源的输入,而不是以牺牲其他输入为代价来选择单个输入。为了解决这一潜在的功能二分法,我们在大鼠体外模拟了局部ACC网络动力学。如在其他区域所见,在β和γ频段的模态峰值振荡频率对应于GABAA能突触动力学。然而,ACC主要神经元的内在特性是高度多样化的。计算模型预测,这种神经元反应多样性将扩大用于过滤有节奏的输入的带宽,并支持在常规γ和β脑电图谱带内不同频率的组合(而不是选择)。这些发现表明,取决于突触抑制动力学和主要细胞内在电导的异质性之间的相互作用,振荡的神经元群体可以支持反应选择(路由选择)或组合。

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