STRUCTURAL INFORMATION FRAMEWORK FOR BRAIN MAPPING

这项工作的长期目标是开发一个信息系统， 组织、可视化和管理术中皮层语言 映射数据，作为神经科学信息系统的测试平台， 人脑计划设想的。 语言一直是，并将继续 通过许多不同的方法进行探索， 多模态信息的相关性是 产生和测试的假设，试图解释明显的 皮层语言地图的不同模式。 在前两个半 多年的这个项目，我们已经制定了方法，映射 将术中数据转换为患者自身的三维MR重建 大脑，并实现了这些方法在基于Web的信息系统 它将可视化和地图与多媒体数据库相结合。 的 将手术部位映射到个性化的神经解剖结构上， 重建提供了一个关键的失踪之间的联系， 刺激映射数据和非侵入性功能成像方法。 在 建议的工作，我们将建立在现有的系统，以发展 用于生成和管理这些三维地图的改进信息学工具，以及 我将使用这些工具作为比较多个语言数据的基础， 模式和多个患者。 本提案的具体目标 目的是发展和扩展以下方法：1）术中标测 大脑皮层语言数据到一个三维磁共振成像为基础的重建病人的 2）管理基于Web的多媒体信息中的语言数据 系统，3）整合来自单个患者的多模态数据，以及4） 整合来自多个患者的多模态数据， 本地和远程站点上的互联网。

The long term goal of this work is to develop an information system for organizing, visualizing and managing intra-operative cortical language mapping data, as a testbed for neuroscience information systems of the kind envisioned by the Human Brain Project. Language has been, and continues to be explored through many different approaches, and the integration and correlation of multimodality information is a prerequisite for the generation and testing of hypotheses that seek to explain the apparent variable patterns of cortical language maps. During the first two and half years of this project we have developed methods for mapping the intraoperative data onto a 3-D MR-based reconstruction of the patient's own brain, and have implemented these methods in a Web-based information system that combines visualization and mapping with a multimedia database. The mapping of surgical sites onto an individualized neuroanatomical reconstruction provides a key missing link between surgically-obtained stimulation mapping data and non-invasive functional imaging methods. In the proposed work we will build on the present system in order to develop improved informatics tools for generating and managing these 3-D maps, and will use these tools as a basis for comparing language data from multiple modalities and from multiple patients. The specific aims of this proposal are to develop and extend methods for: 1) mapping intra-operative cortical language data onto a 3-D MRI-based reconstruction of the patient's own brain, 2) managing language data in a Web-based multimedia information system, 3) integrating multimodality data from a single patient, and 4) integrating multimodality data from multiple patients, obtained both locally and from remote sites on the Internet.