Data Standardizing and Sharing

摘要 皮层脑电图术(ECoG)指的是从大脑表面记录。ECOG已被用于 几十年来用于特定的临床目的-最常见的是识别人的大脑功能区和癫痫区 患有癫痫--偶尔也用于研究。长期以来，ECoG在基础研究中的重要作用 被低估了。在过去的几年里，ECoG的独特品质已经变得广泛和 越来越受到从事基础和翻译研究的科学家的认可。的主要来源 人类ECoG数据是癫痫患者，他们接受硬膜下植入以标测癫痫灶和 在侵入性脑部手术前的功能。因此，数据收集仅限于125个四级癫痫中心。 在全国各地进行此类手术的患者，每年在每个这些中心向大约5-10名患者提供服务。 因此，更大规模的人类ECoG研究和与动物ECoG研究的整合，如所提议的 在此应用程序中，需要在多个医疗中心收集数据。然而，它们每一个都使用 可变数据采集协议、数据采集软件、数据采集硬件、数据格式和 跟踪元信息(例如，受试者的当前认知状态或 其他评论)。这些变化极大地阻碍并在实践中常常禁止基于ECoG的传导 跨多个站点的研究。因此，实现拟议中心的科学目标有赖于 对解决或缓解这些问题的机制的效力和效率有相当大的影响。这个 数据管理/共享(DMS)核心促进了人和动物的数据收集、集成和共享 参与中心站点和项目的脑电地形图(ECoG)数据。虽然ECoG数据提供了 实现中心科学目标的巨大机会，五个人类ECoG站点中的每一个 (该中心的One Money ECoG网站)每年只提供几个受试者的数据，并且在那里 都是这些地点各学科和技术设置的重要变量。因此，最重要的是 DMS核心的目标是消除或减轻这些变化，从而最大限度地提高 中心制作的ECOG数据集，并尽量减少获取这些数据集的困难。具体地说，AIM 一是为标准化软件中的实验实施提供支持；二是协调数据 使用标准化协议在ECoG站点收集数据；AIM 3将与这些站点对接以聚合数据 并核实数据的完整性；目标4是使用以下方式向中心的四个科学项目提供数据 坚固耐用的机械装置。

ABSTRACT Electrocorticography (ECoG) refers to recording from the surface of the brain. ECoG has been used for decades for select clinical purposes — most commonly to identify functional and epileptic brain areas in people with epilepsy — and occasionally for research. The important role of ECoG for basic research long been under-appreciated. Over the past several years, the unique qualities of ECoG have become widely and increasingly recognized by scientists engaged in basic and translational research. The primary sources of human ECoG data are patients with epilepsy patients, who receive subdural implants to map epileptic foci and function prior to invasive brain surgery. Thus, data collection is limited to the 125 class-IV epilepsy centers across the country that perform such surgeries, and to about 5-10 patients in each of these centers per year. Hence, larger-scale human ECoG studies and integration with animal ECoG studies, such as those proposed in this application, require that data are collected at multiple medical centers. However, each of them uses variable data collection protocols, data collection software, data collection hardware, data formats, and methods and procedures to keep track of meta information (e.g., the current cognitive status of the subject or other comments). These variations greatly impede, and in practice often prohibit the conduction of ECoGbased studies across multiple sites. Thus, achievement of the scientific goals of the proposed Center relies considerably on the effectiveness and efficiency of the mechanisms to address or mitigate these issues. The Data Management/Sharing (DMS) Core facilitates data collection, integration and sharing of human and animal electrocorticographic (ECoG) data across participating Center sites and projects. While ECoG data provide enormous opportunities for achieving the scientific goals of the Center, each of the five human ECoG sites (and the one monkey ECoG site) in the Center will provide data from only a few subjects each year, and there are important variabilities across subjects and technical setup at each of these sites. Thus, the overarching goal of the DMS Core is to remove or mitigate these variabilities so as to maximize the scientific value of the ECoG datasets produced by the Center and to minimize the difficulty in accessing them. In specific terms, AIM 1 is to provide support for implementation of experiments in standardized software; AIM 2 is to coordinate data collection at ECoG sites using standardized protocols; AIM 3 is to interface with those sites to aggregate data and to verify data integrity; and AIM 4 is to make data available to the Center's four scientific projects using robust and easy-to-use mechanisms.