Neuralynx for Translational Research

描述（由申请人提供）：该项目的目标是购买一个最先进的系统来收集高带宽多尺度神经生理学数据，以了解健康和疾病时人类大脑的功能网络。这些设备将构成宾夕法尼亚大学神经科学、神经病学、神经外科、心理学、计算神经科学和工程学领域多学科研究小组的核心。它还将大大提高我们建立的一个国际多大学合作研究网络的生产力，该网络旨在通过国家癫痫与疾病研究所资助的国际癫痫神经生理学数据库收集和分享用于全球研究的人类神经生理学数据。我们研究团队的主要研究领域包括癫痫、记忆和认知、听力、皮质发育不良和运动障碍。到目前为止，我们的合作小组已经非常富有成效，但主要依赖于从其他地点收集的数据，例如梅奥诊所和托马斯杰斐逊大学医院。该设备包括一个256通道的Neuralynx数据采集和处理系统，以及48tb的RAID存储，用于归档、处理和共享数据。该项目是宾夕法尼亚大学医学院（Penn School of Medicine）和工程学院（School of Engineering）之间的密切合作。宾夕法尼亚大学医学院负责对癫痫手术评估期间植入颅内电极的患者进行护理，整个大学的研究人员负责研究这些患者的数据，工程学院负责收集、处理、存档和分析这些类型的大型高分辨率数据集。购买该设备将极大地扩大我们在宾夕法尼亚大学的合作小组，以及我们的研究成果，因为它目前受到其他机构微电极数据可用性的限制。我们还准备测试我们在宾夕法尼亚大学开发的令人兴奋的新型柔性有源电极装置的原型，NCRR的授奖时间将与这些首批新的人体植入物同步。

DESCRIPTION (provided by applicant): The objective of this project is to purchase a state of the art system to collect high- bandwidth multi-scale neurophysiologic data to understand functional networks in the human brain in health and disease. The equipment will form the core of a multi- disciplinary team of investigators in the fields of Neuroscience, Neurology, Neurosurgery, Psychology, Computational Neuroscience, and Engineering at the University of Pennsylvania. It will also dramatically increase the productivity of an international, multi-university collaborative research network we have established to collect and share human neurophysiologic data for research worldwide through the NINDS-funded International Epilepsy Neurophysiology Database. Major areas of research focus in our investigative team include epilepsy, memory and cognition, hearing, cortical dysplasia and movement disorders. Our collaborative group has been extremely productive to date, but relies on data gathered primarily at other sites, such as the Mayo Clinic, and Thomas Jefferson University Hospital. The equipment consists of a 256 channel, Neuralynx data acquisition and processing system, and 48 Terabytes of RAID storage to archive, process and share data. The project is a close collaboration between the Penn School of Medicine, where patients implanted with intracranial electrodes during evaluation for epilepsy surgery will be cared for, investigators throughout the university who craft studies to look at data coming from these patients, and the School of Engineering, where expertise for collecting, processing, archiving and analyzing these types of large, high-resolution data sets resides. Purchasing this equipment will dramatically expand our collaborative group at UPenn, and our research output, as it is currently limited by the availability of microelectrode data from other institutions. We are also poised to test prototypes of exciting new flexible, active electrode devices we have developed here at Penn, and the timing of this NCRR award will be synchronized with some of these first new human implants.