Integration and interoperability of complex data and tissues from the human brain

人脑复杂数据和组织的集成和互操作性

• 批准号: 10789107
• 负责人: JEFFREY A LOEB
• 金额: $ 106.8万
• 依托单位: UNIVERSITY OF ILLINOIS AT CHICAGO
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-09-20 至 2026-07-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10789107
• 关键词: 3-Dimensional; Adoption; Adult; Age; Award; Biological Markers; Blood Tests; Brain; Brain Diseases; Brain Neoplasms; Brain imaging; Chicago; Childhood; Cities; Clinical; Clinical Research; Collaborations; Common Data Element; Complex; Computer Systems; Computer software; Data; Data Collection; Data Element; Data Set; Databases; Diagnosis; Digital Imaging and Communications in Medicine; Disparate; E-learning; Education; Electrodes; Electroencephalography; Electronic Health Record; Electrophysiology (science); Epilepsy; Equipment and supply inventories; Genetic; Genomics; Goals; Grant; Health; Histology; Histopathology; Home; Human; Illinois; Image; Informatics; Information Systems; Institution; Lesion; Link; Maps; Measures; Methods; Mind; Molecular; National Center for Advancing Translational Sciences; Nature; Neuropsychology; Ontology; Operative Surgical Procedures; Patients; Pediatric Hospitals; Phase; Physicians; Private Sector; Procedures; Proteomics; Protocols documentation; Rare Diseases; Research; Research Personnel; Sampling; Secure; Seizures; Site; Standardization; System; Techniques; Temporal Lobe Epilepsy; Testing; Tissue Banks; Tissue Sample; Tissues; Training; Training Activity; Training Programs; Translational Research; Universities; Visualization; Work; analytical tool; brain surgery; brain tissue; clinical care; clinical translation; cohort; community engagement; complex data; computerized data processing; data de-identification; data harmonization; data integration; data modeling; data sharing; data standards; data visualization; data warehouse; electronic health data; experience; federated data; human data; human tissue; image visualization; imaging modality; improved; in vivo; innovation; interoperability; metabolomics; multimodal data; multimodality; neuropathology; novel therapeutics; open source tool; patient engagement; patient population; programs; success; surgery outcome; therapeutic target; three-dimensional modeling; tissue processing; tool; treatment planning; user-friendly; virtual; virtual human

Project Summary: Health information is siloed and often suffers from the sheer volume and the heterogeneous nature of complex datasets. This is in stark contrast to what a physician does when a patient is evaluated. Data from electronic health records, blood tests, imaging, electrical recordings, genomic studies, and neuropsychological measures are combined in the clinician’s mind to find the best diagnosis and treatment plan. Nowhere is this more challenging than for studies of the human brain. We have developed a one-of-a-kind human brain tissue bank where each brain sample is spatially linked to a comprehensive multimodal dataset using standardized tissue processing techniques using a home-grown software platform called INTUITION. Highly curated and integrated data are assembled from patients to help both in clinical care and provide a unique research platform for the human brain that is linked to fresh human brain tissues samples. Many patients undergo complex, multistep brain surgeries to treat their seizures. Studies using these standardized tissue methods and INTUITION software have already led to important new discoveries including molecular (genomic, proteomic, metabolomic) biomarkers, imaging methods, brain network discovery, and therapeutic targets that would otherwise not have been identified. The major goals for this collaborative innovation award are to adapt, modify, and expand INTUITION and a brain tissue collection educational program into a standardized, virtual tissue bank and federated data platform for dissemination through 3 CTSA hubs with teams at 5 collaborating institutions in the city of Chicago. The platform leverages common data elements and will use a team of experts to develop new ones. As part of this ambitious project, we will optimize brain image visualization and EEG tools, work with a highly diverse patient population that spans the age spectrum (pediatric and adult) and develop user-friendly tools that will be sustainable because of their combined utility for clinical care and research. Given the extraordinary value of highly curated fresh human brain tissues and the fact that brain surgeries are becoming less invasive, it is important that we take full advantage of these priceless tissues as soon as possible. We will develop a hands-on education program followed by web-based training modules for human brain tissue localization and processing in parallel with standardized data processing, storage and upload methods for images and EEG studies at each of the 5 sites. This is especially important for rare brain disorders that require collaboration from many centers to create a standardized, virtual pool of tissue samples and associated data.

项目概要： 健康信息是孤立的，并且经常受到复杂信息的庞大数量和异构性的影响。 数据集。这与医生在评估患者时所做的事情形成鲜明对比。数据从电子 健康记录、血液测试、成像、电子记录、基因组研究和神经心理学测量 在临床医生的头脑中结合起来，以找到最佳的诊断和治疗方案。没有比这更 比人类大脑的研究更具挑战性。我们开发了一个独一无二的人脑组织库 其中每个大脑样本在空间上与使用标准化组织的综合多模式数据集相关联 处理技术使用一个本土软件平台称为直觉。高度策划和整合 收集患者的数据，以帮助临床护理，并为患者提供独特的研究平台。 与新鲜人脑组织样本相连的人脑。许多患者接受复杂的，多步骤的 脑部手术来治疗癫痫使用这些标准化组织方法和INTUITION软件的研究 已经导致了重要的新发现，包括分子（基因组学，蛋白质组学，代谢组学） 生物标志物、成像方法、脑网络发现和治疗靶点，否则这些靶点将不具有 被识别。这个合作创新奖的主要目标是适应，修改和扩展 INTUITION和脑组织收集教育程序整合到一个标准化的虚拟组织库中， 联合数据平台，通过3个CTSA中心与5个合作机构的团队进行传播 芝加哥市。该平台利用通用数据元素，并将使用一个专家团队开发新的 一个作为这个雄心勃勃的项目的一部分，我们将优化大脑图像可视化和EEG工具， 高度多样化的患者人群，跨越年龄范围（儿科和成人），并开发用户友好型 这些工具将是可持续的，因为它们对临床护理和研究的综合效用。鉴于 高度精心挑选的新鲜人脑组织的非凡价值，以及脑部手术正在成为 我们必须尽快充分利用这些无价的组织。我们将 开发一个实践教育计划，然后是基于网络的人脑组织培训模块 与标准化数据处理、存储和上传方法并行的本地化和处理， 在5个部位的每个部位进行图像和EEG研究。这对于罕见的脑部疾病尤其重要， 这是一个来自许多中心的协作，以创建组织样本和相关数据的标准化虚拟池。