PDF(Pubmed)
Abstract：
UNASSIGNED: Genetic cellular calcium imaging has emerged as a powerful tool to investigate how different types of neurons interact at the microcircuit level to produce seizure activity, with newfound potential to understand epilepsy. Although many methods exist to measure seizure-related activity in traditional electrophysiology, few yet exist for calcium imaging.
UNASSIGNED: To demonstrate an automated algorithmic framework to detect seizure-related events using calcium imaging - including the detection of pre-ictal spike events, propagation of the seizure wavefront, and terminal spreading waves for both population-level activity and that of individual cells.
UNASSIGNED: We developed an algorithm for precise recruitment detection of population and individual cells during seizure-associated events, which broadly leverages averaged population activity and high-magnitude slope features to detect single-cell pre-ictal spike and seizure recruitment. We applied this method to data recorded using awake in vivo two-photon calcium imaging during pentylenetetrazol induced seizures in mice.
UNASSIGNED: We demonstrate that our detected recruitment times are concordant with visually identified labels provided by an expert reviewer and are sufficiently accurate to model the spatiotemporal progression of seizure-associated traveling waves.
UNASSIGNED: Our algorithm enables accurate cell recruitment detection and will serve as a useful tool for researchers investigating seizure dynamics using calcium imaging.
UNASSIGNED: To demonstrate an automated algorithmic framework to detect seizure-related events using calcium imaging - including the detection of pre-ictal spike events, propagation of the seizure wavefront, and terminal spreading waves for both population-level activity and that of individual cells.
UNASSIGNED: We developed an algorithm for precise recruitment detection of population and individual cells during seizure-associated events, which broadly leverages averaged population activity and high-magnitude slope features to detect single-cell pre-ictal spike and seizure recruitment. We applied this method to data recorded using awake in vivo two-photon calcium imaging during pentylenetetrazol induced seizures in mice.
UNASSIGNED: We demonstrate that our detected recruitment times are concordant with visually identified labels provided by an expert reviewer and are sufficiently accurate to model the spatiotemporal progression of seizure-associated traveling waves.
UNASSIGNED: Our algorithm enables accurate cell recruitment detection and will serve as a useful tool for researchers investigating seizure dynamics using calcium imaging.
摘要：
■遗传细胞钙成像已成为一种强大的工具，可以研究不同类型的神经元在微电路水平上如何相互作用以产生癫痫发作活动，具有新发现的了解癫痫的潜力。尽管在传统的电生理学中存在许多测量癫痫相关活动的方法，很少有钙成像。
■为了演示使用钙成像检测癫痫发作相关事件的自动化算法框架-包括发作前尖峰事件的检测，癫痫发作波阵面的传播，以及群体水平活动和单个细胞活动的终端传播波。
■我们开发了一种算法，用于在癫痫发作相关事件期间对群体和单个细胞进行精确的募集检测，它广泛利用平均群体活动和高幅度斜率特征来检测单细胞的发作前尖峰和癫痫募集。我们将此方法应用于在戊四氮诱导的小鼠癫痫发作期间使用清醒体内双光子钙成像记录的数据。
■我们证明了我们检测到的招募时间与专家审阅者提供的视觉识别标签一致，并且足够准确地模拟癫痫发作相关行波的时空进展。
■我们的算法能够进行准确的细胞募集检测，并将作为研究人员使用钙成像研究癫痫发作动力学的有用工具。
■为了演示使用钙成像检测癫痫发作相关事件的自动化算法框架-包括发作前尖峰事件的检测，癫痫发作波阵面的传播，以及群体水平活动和单个细胞活动的终端传播波。
■我们开发了一种算法，用于在癫痫发作相关事件期间对群体和单个细胞进行精确的募集检测，它广泛利用平均群体活动和高幅度斜率特征来检测单细胞的发作前尖峰和癫痫募集。我们将此方法应用于在戊四氮诱导的小鼠癫痫发作期间使用清醒体内双光子钙成像记录的数据。
■我们证明了我们检测到的招募时间与专家审阅者提供的视觉识别标签一致，并且足够准确地模拟癫痫发作相关行波的时空进展。
■我们的算法能够进行准确的细胞募集检测，并将作为研究人员使用钙成像研究癫痫发作动力学的有用工具。
