用于量化神经元网络状态转变的时间分辨框架
A Time-Resolved Framework for Quantifying Neuronal Network State Transitions
- University of Trento（特伦托大学）
机构由 AI 辅助整理，请以论文原文为准。
AI总结：
提出一个多参数时间分辨分析框架，结合组合分析分解电极级状态，以揭示常规方法难以检测的细微瞬态网络反应，并在药理学和光遗传学干预下验证其有效性。
AI中文摘要：
电生理记录为表征神经元网络的动态提供了强有力的工具。体外神经元培养为研究网络对各种干预（包括药理学和光遗传学刺激）的反应提供了一个受控环境。然而，常规分析通常将电生理活动简化为在固定时间窗口内计算的聚合度量，仅提供网络状态的静态表示。在此，我们介绍一个全面的、多参数分析框架，旨在表征网络活动的时间演变以及外部干预诱导的转变状态。该框架将多个网络判别器与一种组合分析相结合，该分析在连续的时间段内将电极级反应分解为兴奋、抑制和不变状态。我们将该框架应用于在4-氨基吡啶（4-AP）药理学干预、光遗传学刺激以及其他基准条件下获得的电生理记录。结果表明，所提出的分析可以揭示使用常规聚合度量可能难以检测的细微和瞬态反应，包括对低剂量药理学干预的反应。这些发现凸显了时间分辨和组合分析在表征体外异质性神经元网络反应中的价值。
英文摘要：
Electrophysiological recordings provide powerful tools for characterizing the dynamics of neuronal networks. In vitro neuronal cultures offer a controlled setting for investigating network responses to diverse interventions, including pharmacological and optogenetic stimulation. However, conventional analyses often reduce electrophysiological activity to aggregate measures calculated over fixed temporal windows, providing only a static representation of the network state. Here, we introduce a comprehensive, multiparametric analytical framework designed to characterize both the temporal evolution of network activity and the transitional states induced by external interventions. The framework combines multiple network discriminators with a compositional analysis that resolves electrode-level responses into excited, inhibited, and unchanged states over successive temporal segments. We apply the framework to electrophysiological recordings obtained under pharmacological interventions with 4-aminopyridine (4-AP), optogenetic stimulation, and additional benchmark conditions. The results demonstrate that the proposed analysis can reveal subtle and transient responses that may be difficult to detect using conventional aggregate measures, including responses to low-dose pharmacological interventions. These findings highlight the value of temporally resolved and compositional analyses for characterizing heterogeneous neuronal network responses in vitro.
