Study of Rhythm Formation Mechanism in Brainstem by Statistical Analysis of Spatio-Temporal Voltage Imaging Data

为了评估脊髓腹侧呼吸相关区域的时空动态，我们使用电压敏感染料光学记录了体外脑干-脊髓制备的脊髓腹侧呼吸神经元网络的活动。并建立了一种新的非线性响应模型，称为Sigmoid和传递函数模型（STF模型），该模型将脊髓第四颈腹根（C4VR）记录的呼吸运动活动作为对呼吸相关区域像素光信号的响应。然后我们开发了一种新的过滤方法来检测该区域的呼吸相关活动。该研究结果发表在医学成像领域的一本顶级杂志上。

To assess the spatiotemporal dynamics of respiratory-related regions of the ventral medulla, we optically recorded the respiratory neuronal network activity of the ventral medulla of the in vitro brainstem-spinal cord preparation using a voltage-sensitive dye, and developed a novel non-linear response model called the Sigmoid and Transfer Function model (STF model) which regards the respiratory motor activity recorded from the fourth cervical ventral root (C4VR) of the spinal cord as the response to optical signals from pixels within respiratory-related regions. Then we developed a new filtering method to detect respiration-related activity in the area. The result was published in a top journal in medical imaging.