The neurodevelopmental trajectory of reading: a publicly available multimodal neuroimaging database

阅读的神经发育轨迹：公开的多模式神经影像数据库

• 批准号: 10831292
• 负责人: Vincent L. Gracco
• 金额: $ 2.03万
• 依托单位: YALE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-07-01 至 2024-02-29
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10831292
• 关键词: neurodevelopmental; trajectory; reading; publicly; available

Project Summary (30 lines of text) Reading disability (RD) is the most common neurodevelopmental disorder of childhood, estimated to affect 10- 15% of children of otherwise typically developing children. RD is a life-long disorder with significant difficulties persisting into adolescence and adulthood in several domains. Understanding the key environmental, cognitive and neurobiological bases of reading and disorders is fundamental to improve diagnostics and treatment of reading disabilities. Although much progress has been made on how the neural circuitry for reading depends on reading ability, quantitative analyses of how the brain structure and function underlies reading as a function of age and ability, and their interaction, are still lacking. A number of relevant findings originated from our lab and were supported by a series of NICHD grants. Although we have made significant progress on each of these grants in isolation, we strongly believe that making these datasets available to the scientific community allows for addressing questions that so far remained unanswered and this constitutes the key significance of this proposal. Across studies we used comparable measures at the level of brain and behavior, and given the rich range on age, ability and comorbidity status and the comparability of measures the potential scientific yield from combining these data sets into a unified database is strong. Important neurodevelopmental questions about how component processing in reading changes with experience and their associated brain pathways and how this differs in good and poor readers will be addressable. Moreover, an important longer-term strategic plan for which this project would be a foundation is to involve our collaborators from the U.S and other countries in building upon and extending this database to address reading development across orthographies. The proposed database contains environmental and background data, structural and functional (print/speech localizer tasks) brain measures across age and sensitive cognitive measures of code utilization in word reading, and many other language related measures, that will allow the user to chart key brain/behavior relations. We have collected over 1000 neuroimaging scans from 700 individuals across the age range from 5-30 years old, from preliterate to highly proficient readers. All data will be fully anonymized, stored in the industry standard Brain Imaging Data Structure (BIDS) and uploaded, ultimately within a year after the grant's completion, on OpenNEURO. OpenNEURO is a free and open platform, approved by the NIH brain initiative (https://braininitiative.nih.gov/), for sharing in-vivo neuroimaging data. To increase awareness of the existence of this database, a white paper describing the richness and power of the data will be submitted after all data is uploaded. Additionally, we will inform other reading researcher using existing social media channels (e.g. Haskins twitter feed) and mail channels of conference attendees and other google mail lists.

项目摘要(30行文本) 阅读障碍(RD)是儿童最常见的神经发育障碍，据估计影响10- 15%的孩子通常是发育不良的孩子。RD是一种终生障碍，具有显著的困难。 在几个领域坚持到青春期和成年期。了解关键的环境、认知 而阅读和障碍的神经生物学基础是改善诊断和治疗的基础 阅读障碍。尽管在阅读的神经回路如何依赖于 阅读能力，定量分析大脑的结构和功能是如何作为阅读的一个函数 年龄和能力，以及它们之间的互动，仍然缺乏。一些相关的发现来自我们的实验室和 都得到了NICHD一系列赠款的支持。尽管我们在每一个方面都取得了重大进展 我们坚信，将这些数据集提供给科学界将有助于 解决迄今仍未得到回答的问题，这构成了这次会议的关键意义 求婚。在整个研究中，我们在大脑和行为水平上使用了可比的测量方法，并给有钱人 年龄、能力和共病状态的范围以及测量潜在科学产量的可比性 将这些数据集合并到一个统一的数据库中是很强大的。关于神经发育的重要问题 阅读过程中的成分处理随经验及其相关的大脑通路而变化，以及这是如何发生的 好的读者和差的读者将是可寻址的。此外，一个重要的长期战略计划 该项目将是一个基础，是让我们的合作者从美国和其他国家参与建立 在这个数据库的基础上进行扩展，以解决各正字法之间的阅读发展问题。 拟议的数据库包含环境和背景数据、结构和功能(印刷品/演讲稿 局部化任务)大脑测量年龄和敏感的认知测量在单词阅读中的代码利用， 以及许多其他与语言相关的测量，这将允许用户绘制关键的大脑/行为关系图。我们 收集了700人的1000多份神经成像扫描，年龄范围从5岁到30岁不等， 从识字前的读者到熟练的读者。所有数据都将完全匿名，并按行业标准存储 脑成像数据结构(BID)和上传，最终在拨款完成后一年内，在 OpenNeuro。OpenNEURO是一个自由和开放的平台，得到了NIH Brain倡议的批准 (https://braininitiative.nih.gov/)，用于共享体内神经成像数据。提高人们对存在的认识 在完成所有数据后，将提交一份描述数据丰富性和功能的白皮书 已上传。此外，我们将利用现有的社交媒体渠道通知其他阅读研究人员(例如 Haskins Twitter feed)和会议与会者的邮件频道以及其他谷歌邮件列表。