iPROBE: in-vivo Platform for the Real-time Observation of Brain Extracellular activity

了解大脑数十亿神经元的数万亿动作电位如何产生我们的思想，感知和行动是21世纪世纪科学的最大挑战之一。同样，了解这种活动是如何被神经和精神疾病破坏的是21世纪世纪医学的最大挑战之一。由于大脑计算的大规模并行性质，实验上回答这些问题依赖于能够同时监控大量神经元。电极微加工和高通量数据分析的进步使科学家能够记录大脑局部小区域中的数百个神经元。然而，由于健康和不健康的神经操作都是由多个广泛分布的大脑回路的相互作用引起的，因此对其的理解需要技术上的逐步改变，以便能够监测许多大脑区域中大量的神经元。对这一建议的研究将首次使这一点成为可能。这不仅为了解健康大脑的功能提供了一个以前无法想象的机会，而且还使我们和其他人能够为帕金森病，癫痫，精神分裂症和阿尔茨海默病等疾病开发基于药物的治疗方法。大规模的神经元记录依赖于使用微制造的多电极阵列（MEA）。能够记录数百个局部神经元的阵列现在可以在商业上获得。原则上，这些阵列提供了记录多个大脑结构中数千个神经元的能力，只需同时使用大量探针即可。然而，利用当前技术无法实现访问由这些电极产生的数据，因为根本不可能传递足够数量的非常低幅度的模拟信号，如在当前无源连接系统中那样。我们将通过使用计算中常见的方法来解决这个问题：菊花链数字串行接口。通过允许几个多电极阵列的简单，鲁棒和低噪声连接，这将使我们能够使用单个接口监测来自多个结构的数千个神经元。该系统将利用廉价的，商业上可用的微电极阵列（如。NeuroNexus），通过高密度柔性带状电缆连接到定制CMOS集成电路（IC）。CMOS IC是低成本的，产生高产量和面积有效的有源电子器件，适用于每个电极阵列的尖峰神经元数据的放大、滤波、模数转换和编码。每个菊花链（即串联连接的探头组）将端接至标准USB接口。新的USB-3.0协议（使用SuperSpeed术语销售）可以允许5Gbps的串行数据速度。对于12位分辨率下以25 kS/s采样的数据，这可以提供能够支持超过10，000个电极的带宽：比现有技术高出两个数量级。我们开发的记录系统将产生大量数据。因此，该平台的第二个重要部分是开发算法和软件，这些算法和软件对于将这些信息及时转换为有关大脑功能的简明结论至关重要。我们将利用我们以前的工作，现在是事实上的多神经元记录处理的全球标准。我们的目标是产生一个被英国和世界各地的神经科学界广泛采用的系统，从而最大限度地提高其对理解和治疗各种疾病的影响。为了确保该系统满足基础和临床脑研究的需要，我们的团队包括世界领先的神经元群体记录专家，以及英国领先的神经记录系统制造商。因此，我们不仅拥有开发该系统所需的专业知识，而且还能够将其快速商业化并分发给世界各地的科学家。

Understanding how the trillions of action potentials of the brain's billions of neurons produce our thoughts, perceptions, and actions is one of the greatest challenges of 21st century science. Similarly, understanding how this activity is disrupted by neurological and psychiatric diseases is one of the greatest challenges of 21st century medicine. Due to the massively parallel nature of the brain's computations, answering these questions experimentally relies on being able to monitor very large numbers of neurons simultaneously. Advances in electrode microfabrication and high-throughput data analysis have allowed scientists to record from hundreds of neurons in a small local area of brain. However, as both healthy and unhealthy neural operation arises from interaction of multiple, widely-distributed brain circuits, its understanding requires a technological step-change that allows monitoring of much larger numbers of neurons over many brain areas. The research of this proposal will for the first time make this possible. This will not only provide a previously unimaginable opportunity for understanding how the healthy brain functions, but also allow us and others to develop empirically-based treatments for diseases such as Parkinson's, epilepsy, schizophrenia, and Alzheimer's. Large-scale neuronal recording relies on the use of microfabricated multielectrode arrays (MEAs). Arrays capable of recording from hundreds of local neurons are now commercially available. In principle, these arrays provide the ability to record from thousands of neurons across multiple brain structures, simply by using a large number of probes simultaneously. However, accessing the data produced by these electrodes cannot be achieved with current technologies, as it is simply impossible to pass a sufficient number of very low amplitude analogue signals, as in current passive connection systems. We will solve this problem by using an approach common in computing: a daisy-chain digital serial interface. By allowing simple, robust, and low-noise connection of several multi-electrode arrays, this will allow us to monitor thousands of neurons from multiple structures using a single interface. The system will exploit cheap, commercially available microelectrode arrays (eg. NeuroNexus), connected to a custom CMOS Integrated Circuit (IC) via high-density flexible ribbon cables. CMOS ICs are low cost, produce high yield and area efficient active electronics suitable for amplifying, filtering, analog-to-digital conversion and encoding of each electrode array's spiking neuron data. Each daisy chain (i.e. group of serially-connected probes) will terminate into a standard USB interface. The new USB-3.0 protocol (marketed using the SuperSpeed term) can allow for serial data speeds of 5Gbps. For data sampled at 25kS/sec at 12-bit resolution, this could provide a bandwidth capable of supporting over 10,000 electrodes: two orders of magnitude beyond current technology.The recording systems we develop will produce vast quantities of data. A second, and essential, part of the platform is thus to develop the algorithms and software that are essential for the timely conversion of this information to concise conclusions about brain function. We will do this by leveraging our previous work, now the de facto worldwide standard for processing of multi-neuron recordings.Our aim is to produce a system that is widely adopted by the UK and worldwide neuroscientific communities, thereby maximizing its impact on the understanding and treatment of a very wide range of disorders. To ensure that the system meets the need of both basic and clinical brain research, our team includes the world's leading expert on neuronal population recording, as well as the UK's leading manufacturer of neural recording systems. We thus have the expertise needed not only to develop the system, but also enable its rapid commercialization and distribution to scientists worldwide.