Integrated functional imaging of the human brain

人脑综合功能成像

• 批准号: 6685512
• 负责人: JOHN C GORE
• 金额: $ 69.26万
• 依托单位: VANDERBILT UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-07-01 至 2007-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6685512
• 关键词: bioimaging /biomedical imaging; brain disorder diagnosis; brain electrical activity; brain mapping; clinical research; computer data analysis; electrophysiology; encephalography; evoked potentials; functional magnetic resonance imaging; human subject; image processing; neural information processing; neuropsychology; neurosciences; noninvasive diagnosis; psychophysics; technology /technique development; transcranial magnetic stimulation

DESCRIPTION (provided by applicant): This is an application to establish a Bioengineering Research Partnership (BRP) to develop and integrate new technologies for the comprehensive mapping of human brain function. These will be used to study functionally connected networks within the brain and will provide the information for systems analyses of the neural bases of normal and abnormal behaviors. They will be applied to study development in children and infants, as well as the neurobiological basis of various psychiatric, developmental and neurological disorders. The BRP would develop non-invasive instrumentation, techniques and algorithms to acquire and combine the information obtainable from advanced high field magnetic resonance imaging (MRI) at 4 Tesla, near infra-red optical imaging, electrophysiology (including evoked responses), trans-magnetic stimulation (TMS), and computer data analysis and image processing. It would develop and validate novel means of performing functional imaging studies and of recording cognitive and physiological responses within the environment of a 4T imaging magnet, as well as methods to combine the information from the various complementary techniques involved. The partnership would bring together 6 core laboratories within Yale University, the host institution, and would also closely involve 8 collaborating corporate partners as well as investigators from 8 other universities (Vanderbilt, Columbia and New York Universities, UNC, UConn, Oregon Health Sciences Center, Medical College of South Carolina, and the Bronx VA Hospital). The BRP will include physicists, engineers, computer scientists, neuroscientists, psychologists, psychiatrists, pediatricians and radiologists. During Year 1 advanced functional imaging methods will be implemented at 4T, and the equipment needed for ERP and NW will be modified for use in the magnet. Similar developments of these modalities, of TMS and psychophysical techniques, will continue through years 2 and 3. The first three years of the BRP would focus on the development and validation of novel techniques for inducing and assessing brain activation in response to stimuli, while years 4 and 5 would focus more on developing methods for the integration of data obtainable by different means and for their analysis and interpretation in specific applications. The establishment of a BRP would be an ideal mechanism for bringing together different approaches to the study of brain function, and the integration of the various methods will provide a valuable new resource for neuroscience research whose capabilities will far exceed the sum of the separate components.

描述（由申请人提供）：这是一份建立一个 生物工程研究合作伙伴关系（BRP）开发和整合新的 全面绘制人类大脑功能的技术。这些将 用于研究大脑内功能连接的网络，并将 为正常和正常神经基础的系统分析提供信息 异常行为。它们将被应用于研究儿童的发展和 婴儿，以及各种精神病学的神经生物学基础， 发育和神经系统疾病。 BRP将开发非侵入性 仪器、技术和算法来获取和组合 从先进的高场磁共振成像中获得的信息 (MRI) 4 特斯拉、近红外光学成像、电生理学（包括 诱发反应）、跨磁刺激（TMS）和计算机数据分析 和图像处理。它将开发和验证新颖的执行方法 功能成像研究以及记录认知和生理 4T 成像磁体环境中的响应，以及方法 结合所涉及的各种互补技术的信息。这 合作伙伴关系将汇集耶鲁大学内的 6 个核心实验室， 主办机构，还将密切涉及 8 家合作企业 合作伙伴以及来自其他 8 所大学（范德堡大学、 哥伦比亚大学和纽约大学、北卡罗来纳大学、康涅狄格大学、俄勒冈健康科学中心、 南卡罗来纳医学院和布朗克斯退伍军人医院）。 BRP 将 包括物理学家、工程师、计算机科学家、神经科学家、 心理学家、精神科医生、儿科医生和放射科医生。第一年期间 先进的功能成像方法将在 4T 上实现，并且 ERP 和 NW 所需的设备将进行修改以用于磁铁。相似的 这些模式、TMS 和心理物理学技术的发展，将 持续到第 2 年和第 3 年。BRP 的前三年将重点关注 诱导和评估新技术的开发和验证 大脑对刺激做出反应，而第四年和第五年会更加集中注意力 开发整合通过不同方式获得的数据的方法 以及它们在具体应用中的分析和解释。这 BRP 的建立将是一个理想的机制，将 研究大脑功能的不同方法以及整合 各种方法将为神经科学研究提供宝贵的新资源 其能力将远远超过各个单独组件的总和。