Flexible Multielectrode Arrays for Tonic and Phasic Serotonin Electrochemical Detection in the Brain

用于大脑中的强直性和阶段性血清素电化学检测的柔性多电极阵列

基本信息

  • 批准号:
    10689262
  • 负责人:
  • 金额:
    $ 18.13万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2022
  • 资助国家:
    美国
  • 起止时间:
    2022-09-01 至 2024-08-31
  • 项目状态:
    已结题

项目摘要

Project Summary Simultaneous multi-site measurements of tonic and phasic serotonin (5-hydroxytryptamine, 5-HT) dynamics across different brain regions are of utmost importance to clarify the roles that 5-HT plays in anxiety, depression, and impulse control disorders. Chronic sampling across multiple weeks is critical to investigate the 5-HT variations during neurological transitions and to understand the efficacy of specific pharmacological treatments. Despite their values, in vivo multi-site chronic measurements of 5-HT are limited by the capability of the existing technologies. For example, microdialysis measures the tonic 5-HT level with slow temporal resolution, while fast scan cyclic voltammetry (FSCV) at carbon fiber microelectrodes (CFEs) can only detect phasic 5-HT release. These experiments are currently performed one site at a time, while 5-HT dynamics are complex and differ in different brain regions or different loci of the same region, requiring high resolution multisite measurements. Additionally, to the best of our knowledge, no chronic 5-HT detection with such technique have been shown. Here, we propose to develop an implantable carbon-based multielectrode array on ultra-thin flexible substrate (C-Flex-MEA) for integrated phasic and tonic measurements of 5-HT dynamics from different brain locations. To achieve our goal: first, we will optimize a pattern transfer technique that allows for the integration of glassy carbon (GC) microelectrode arrays and interconnections on ultra-thin flexible polymeric substrate. The resulting C-Flex- MEAs will allow for multi-site FSCV detection of phasic 5-HT release. Second, we will incorporate the poly(3,4- ethylenedioxythiophene)/functionalized carbon nanotube (PEDOT/CNT) coating on selected GC microelectrodes of the same MEAs, to achieve multi-site detection of tonic 5-HT concentrations using square wave voltammetry. Combining the superior electrochemical stability of the carbon electrodes and interconnections with the excellent biocompatibility of a miniaturized thin-film flexible device, the C-Flex-MEA presents ideal properties for in vivo neurochemical sensing for both tonic and phasic 5-HT measurements, also promoting seamless tissue integration. Our Specific Aim 1 focuses on fabrication and in vitro optimization of the C-Flex-MEA with the goal of meeting the criteria in detection sensitivity, selectivity, and stability. Specific Aim 2 focuses on acute and chronic in vivo testing of multi-site sensing performance of the C-Flex-MEAs in mouse brain, and implant biocompatibility. The acute testing will guide the probe design and fabrication to minimize insertion injury and validate 5-HT sensing. The completion of the chronic experiments will allow us to determine the sensor’s lifetime and understand the abiotic and biotic factors that affect the stability of the sensor over time. Successful completion of this project will produce an unprecedented platform to study the specific implications of the different 5-HT dynamics in neurological and psychiatric disorders.
项目总结

项目成果

期刊论文数量(0)
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科研奖励数量(0)
会议论文数量(0)
专利数量(0)

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Elisa Castagnola其他文献

Elisa Castagnola的其他文献

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{{ truncateString('Elisa Castagnola', 18)}}的其他基金

Probing the role of serotonin in neuropathic pain with flexible carbon microelectrode arrays
用柔性碳微电极阵列探讨血清素在神经性疼痛中的作用
  • 批准号:
    10734710
  • 财政年份:
    2022
  • 资助金额:
    $ 18.13万
  • 项目类别:
Flexible Multielectrode Arrays for Tonic and Phasic Serotonin Electrochemical Detection in the Brain
用于大脑中的强直性和阶段性血清素电化学检测的柔性多电极阵列
  • 批准号:
    10527048
  • 财政年份:
    2022
  • 资助金额:
    $ 18.13万
  • 项目类别:
Probing the Role of Serotonin in Neuropathic Pain with Flexible Carbon Microelectrode Arrays
用柔性碳微电极阵列探讨血清素在神经性疼痛中的作用
  • 批准号:
    10419830
  • 财政年份:
    2022
  • 资助金额:
    $ 18.13万
  • 项目类别:

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