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Ad hoc hybrid synaptic junctions to detect nerve stimulation and its application to detect onset of diabetic polyneuropathy
Biosensors and Bioelectronics ( IF 12.6 ) Pub Date : 2020-09-21 , DOI: 10.1016/j.bios.2020.112618
Sujasha Gupta 1 , Subhadip Ghatak 2 , Travis Hery 1 , Savita Khanna 2 , Mohamed El Masry 3 , Vishnu Baba Sundaresan 1 , Chandan K Sen 2
Affiliation  

We report a minimally invasive, synaptic transistor-based construct to monitor in vivo neuronal activity via a longitudinal study in mice and use depolarization time from measured data to predict the onset of polyneuropathy. The synaptic transistor is a three-terminal device in which ionic coupling between pre- and post-synaptic electrodes provides a framework for sensing low-power (sub μW) and high-bandwidth (0.1–0.5 kHz) ionic currents. A validated first principles-based approach is discussed to demonstrate the significance of this sensing framework and we introduce a metric, referred to as synaptic efficiency to quantify structural and functional properties of the electrodes in sensing. The application of this framework for in vivo neuronal sensing requires a post-synaptic electrode and its reference electrode and the tissue becomes the pre-synaptic signal. The ionic coupling resembles axo-axonic junction and hence we refer to this framework as an ad hoc synaptic junction. We demonstrate that this arrangement can be applied to measure excitability of sciatic nerves due to a stimulation of the footpad in cohorts of m+/db and db/db mice for detecting loss in sensitivity and onset of polyneuropathy. The signal attributes were subsequently integrated with machine learning-based framework to identify the probability of polyneuropathy and to detect the onset of diabetic polyneuropathy.



中文翻译:

用于检测神经刺激的特设混合突触连接及其在检测糖尿病性多发性神经病发病中的应用

我们报告了一种微创、基于突触晶体管的结构,通过对小鼠的纵向研究来监测体内神经元活动,并使用测量数据的去极化时间来预测多发性神经病的发作。突触晶体管是一种三端器件,其中突触前电极和突触后电极之间的离子耦合为检测低功率 (sub μW) 和高带宽 (0.1–0.5 kHz) 离子电流提供了框架。讨论了一种经过验证的基于第一原理的方法来证明该传感框架的重要性,并且我们引入了一个度量,称为突触效率来量化传感中电极的结构和功能特性。该框架在体内神经元传感中的应用需要一个突触后电极及其参考电极,组织成为突触前信号。离子耦合类似于轴突-轴突连接,因此我们将此框架称为临时突触连接。我们证明这种安排可用于测量坐骨神经的兴奋性,因为在 m 的队列中刺激足垫。+ /db 和 db/db 小鼠,用于检测敏感性下降和多发性神经病的发作。随后将信号属性与基于机器学习的框架相结合,以识别多发性神经病的可能性并检测糖尿病性多发性神经病的发作。

更新日期:2020-09-29
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