NCS-FO:Collab:Multimodal sampling of neural ensembles: A high-density opto-electro-chemical neural interface for simultaneous electrical recording and optical imaging of cell-types

该项目开发了新的设备和方法来记录大量神经元的电活动，同时识别其特定的细胞类型。特定的细胞类型在神经信息处理系统中具有精确的计算作用，但在大多数情况下，细胞类型不能仅从电活动中识别。在负责决策的皮层区域，混合的细胞类型所带来的困难因层次、循环连接和众多的中间神经元类型而进一步复杂化。为了理解神经信息处理系统如何介导决策，有必要（1）同时记录许多神经元以量化高维活动，（2）识别和确定这些集合中细胞类型的精确计算角色，以及（3）化学扰动神经集合以确定因果功能。该项目将首次同时实现这三种功能。拟议中的神经接口将包括记录电极，神经化学刺激器和平面光学成像波导，所有这些都是可植入微针的细长形状因素。该设备将用于研究参与神经元群体活动的特定细胞类型的详细电路水平功能。工程师和生物学家团队之间的合作为培训研究生和本科生提供了一个独特的跨学科环境。PI还将设计一门关于神经技术的新课程，向学生介绍神经科学研究的需求和设计下一代神经接口的工程机会。该项目采用了一种基于技术创新（纳米技术，光子学和神经技术）的综合方法，以及基础神经生物学和基于光学标记的细胞转录谱的进步，以揭示特定细胞类型在行为过程中对神经元集体行动的作用。基于最近开发的基于聚合物的光波导平台，嵌入式双端口，研究人员将设计一种新型的平面成像器，可以与微电极单片集成，以光学成像细胞身份，同时记录其电生理活动。所提出的神经接口（i）紧凑且灵活，（ii）将高密度电记录与化学刺激相结合，（iii）包含电致动纳米复合聚合物，（iv）使用基于聚对二甲苯的新型微成像仪阵列实现小腿荧光成像聚合物光波导。该技术平台的效用将被证明用于研究在胡须刺激期间参与编码大鼠感觉的细胞类型。开发的多模式探针也将被分发到不同的神经生物学实验室，用于其他实验环境，以扩大拟议项目的影响。这项跨领域研究的成果将是（i）一个新的技术平台，可用于测试关于特定细胞类型在大脑中编码和转换信息的作用的各种神经科学假设，以及（ii）一个有价值的数据集，可以通过为现有的大规模数据添加新的维度来增强现有的神经元群体活动的数学模型。该奖项反映了NSF的法定使命，并被认为值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估来支持。

This project develops novel devices and methods to record the electrical activity of large numbers of neurons while simultaneously identifying their specific cell types. Specific cell types have precise computational roles in neural information processing systems, but in most cases cell types are not identifiable from electrical activity alone. In cortical regions responsible for decision making, the difficulties posed by intermingled cell types are further complicated by layers, recurrent connections, and the multitude of interneuron types. In order to understand how neural information processing systems mediate decision making, it is necessary to (1) record simultaneously from many neurons to quantify high-dimensional activity, (2) identify and ascertain the precise computational roles of the cell types within those ensembles, and (3) chemically perturb neural ensembles to determine causal functionality. This project will for the first time enable all 3 of these capabilities simultaneously. The proposed neural interface will incorporate recording electrodes, neurochemical stimulators, and flat optical imager waveguides all in the slim form factor of an implantable micro-needle. This device will be used to study the detailed circuit-level functionality of specific cell types involved in the population activity of neurons. The collaboration between a team of engineers and biologists provides a unique interdisciplinary environment for training graduate and undergraduate students working on this project. The PIs will also design a new course on neurotechnology to teach students about the needs in neuroscience research and opportunities in engineering to design next generation neural interfaces. This project incorporates an integrative approach based on innovations in technology (nanotechnology, photonics, and neurotechnology) as well as advancements in fundamental neurobiology and transcriptional profiling of cells based on optical tagging to shed light on the role of specific cell types on collective actions of neurons during behavior. Building on a recently developed polymer-based optical waveguide platform with embedded micromirror ports, the investigators will design a novel flat imager that can be monolithically integrated with micro-electrodes to optically image the cell identities, while simultaneously recording their electrophysiology activity. The proposed neural interface (i) is compact and flexible, (ii) combines high-density electrical recording with chemical stimulation, (iii) contains electrically actuated nanocomposite polymers, and (iv) enables on-shank fluorescent imaging using a novel micro-imager array based on parylene polymer photonic waveguides. The utility of this technology platform will be demonstrated for studying cell types involved in encoding sensory sensations in rats during whisker stimulation. The developed multimodal probes will also be disseminated to different neurobiology labs to be used in other experimental contexts to amplify the impact of the proposed project. The outcome of this cross-field research will be (i) a new technology platform that can be used to test various neuroscience hypotheses on the role of specific cell types in encoding and transforming information in brain and (ii) a valuable dataset that can enhance existing mathematical models of neuronal population activity by adding new dimensions to the existing large-scale data based solely on electrophysiology, and will enable an entirely new class of neurobiology experiments.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.