The Neurodevelopmental MRI Database

神经发育 MRI 数据库

• 批准号: 9297716
• 负责人: JOHN E RICHARDS
• 金额: $ 6.16万
• 依托单位: UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA
• 依托单位国家: 美国
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-04-01 至 2019-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9297716
• 关键词: 3 year old; Address; Adolescent; Adult; Age; Age-Years; Area; Atlases; Autistic Disorder; Birth; Blood flow; Brain; Brain imaging; Cereals; Cerebrospinal Fluid; Characteristics; Child; Childhood; Comb animal structure; Computer Systems; Data; Data Set; Databases; Development; Elderly; Electroencephalography; Genetic; Grant; Guidelines; Head; Image; Individual; Infant; Informatics; Instruction; Internet; Laboratories; Light; Location; Magnetic Resonance Imaging; Modeling; Near-Infrared Spectroscopy; Neurocognition; Newborn Infant; Participant; Pathway interactions; Philadelphia; Photons; Population; Positioning Attribute; Programming Languages; Radiology Specialty; Research; Resources; Scalp structure; Scanning; Scientist; Site; Source; South Carolina; Structure; System; Time; Tissues; Translations; United States National Institutes of Health; Universities; Width; base; cohort; data access; data archive; data sharing; database of Genotypes and Phenotypes; detector; experimental study; flexibility; gray matter; imaging study; migration; neuroimaging; programs; sensor; tool; white matter; young adult

Project Summary / Abstract Scientists using neuroimaging tools, such as MRI, NIRS, EEG, and MEG, use average MRI templates for locating brain structures (stereotaxic atlases), combining brains across different participants, segmenting priors for identification of cortical tissues (gray matter, white matter, CSF), and determining the relation between scalp locations and the brain (e.g., EEG, NIRS, MEG). Average MRI templates that are usually used have been based on single adult MRIs or average templates from young adults. Use of these templates with pediatric (newborns, infants, children), adolescent, and elderly populations results in irregular registrations, misspecification of segmented data, and poor fits for stereotaxic atlases. The “Neurodevelopmental MRI Database” was created to address this issue. It provides MRI templates form 2 weeks through 89 years of age, as well as supporting materials (segmenting priors, atlases, EEG and NIRS placements). The data are presented in fine-grained ages (e.g., 1.5 month intervals through 1 year; 6 month intervals through 19.5 years; 5 year intervals from 20 through 89 years). The current project will add new participants to the average MRI templates, refine the MRIs for wider use with MRI processing programs, and plan a transition from distribution through the PI's online storage site to an open-access distribution site. This project will enhance the current data and facilitate the sharing of this important resource.

项目摘要/摘要