BRAIN Integrated Resource for Human Anatomy and Intracranial Neurophysiology

BRAIN 人体解剖学和颅内神经生理学综合资源

• 批准号: 10505412
• 负责人: Dominique Duncan
• 金额: $ 114.29万
• 依托单位: UT SOUTHWESTERN MEDICAL CENTER
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-09-09 至 2025-09-08
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10505412
• 关键词: Address; Affect; Age; Anatomy; Archives; BRAIN initiative; Back; Biological; Brain; Data; Data Element; Data Set; Deposition; Diffusion; Diffusion Magnetic Resonance Imaging; Disease; Documentation; Electroencephalography; Ensure; Frequencies; Funding; Future; Growth; Human; Human Resources; Human Volunteers; Image; Individual; Informatics; Institution; Intervention; Investigation; Investments; Lead; Learning; Link; Literature; Magnetic Resonance Imaging; Measures; Methods; Motor; Nature; Neurosciences; Noise; Patients; Pattern; Physiology; Population; Process; Property; Quality Control; Research; Research Personnel; Resolution; Resources; Role; Signal Transduction; Site; Source; Specificity; Standardization; Structure; Thick; Time; Training Activity; United States National Institutes of Health; Work; X-Ray Computed Tomography; analytical tool; anatomic imaging; archive data; archived data; base; connectome; data archive; data curation; data integration; image archival system; image processing; insight; morphometry; multimodal data; multimodality; neural patterning; neuroimaging; neurophysiology; neuropsychiatric disorder; neurotransmission; novel; relating to nervous system; signal processing; tool; volunteer; webinar

PROJECT SUMMARY/ABSTRACT Intracranial recordings in patients undergoing neurosurgical interventions provide a unique opportunity to directly access, study, and learn about both normal human brain function and neuropsychiatric disease. Because of their value, the NIH has made significant investments in this line of research through the BRAIN Initiative and has likewise required public archiving of data through the Data Archive for the BRAIN Initiative (DABI). With the accumulation of data from over 500 subjects, DABI presents a unique opportunity to conduct large scale studies using data from multiple sites and investigations. Moreover, with the inclusion of both neurophysiological and imaging data (including anatomic and connectivity-based imaging), DABI has the potential to address important questions about functional-anatomic relationships in human neurophysiology and sources of variability across age, disease, and anatomy. There is a strong emerging yet underexplored literature that neural oscillation patterns relate to brain morphometry, yet the tools to explore this with greater spatial precision and spectral sensitivity are currently unavailable. While the multimodal nature of DABI data has the potential to significantly impact such questions, the data is not currently in a form that makes it easily accessible or analyzable. The BRAIN integrated Resource for human Anatomy and Intracranial Neurophysiology, B(RAIN)2, has an overall aim of creating a spatially integrated and standardized dataset that will enable such large scale studies. In Aim 1, we will (1) identify and curate data for inclusion in B(RAIN)2 based on required data elements (as well as solicit additional archiving from BRAIN funded investigators), (2) perform standardized neurophysiological signal processing and anatomic localization, (3) perform standard anatomic image processing, based on the Human Connectome Project framework and established quality control measures, and (4) transform all data into a standard space for large scale analyses. To ensure high impact and continued growth of B(RAIN)2, in Aim 2, we will share, document, and define pipelines for continued data integration, including webinars and training modules and providing support to potential users. Finally, in Aim 3, we will conduct a demonstration project to highlight the power of B(RAIN)2, investigating the relationships between motor cortical beta power and peak frequency as a function of cortical thickness, connectivity, and disease. The proposed work will enable investigators to harness the power of intracranial physiology and neuroimaging collected across BRAIN-funded sites to increase the power and impact of these valuable and relatively rare signals. Future investigators will use the B(RAIN)2 standardized metrics across anatomy and physiology in both native and standard space to perform novel analyses and gain unique insights into anatomic contributions to variability in human neural oscillator signals.

项目总结/文摘