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）是儿童期最常见的神经发育障碍，估计影响10- 20岁儿童。 15%的儿童在其他方面发育正常。RD是一种终身疾病， 在几个领域持续到青春期和成年期。了解关键的环境、认知 和神经生物学基础的阅读和障碍是根本，以改善诊断和治疗 阅读障碍。尽管在阅读的神经回路如何依赖于 阅读能力，定量分析大脑结构和功能如何作为阅读的基础， 年龄和能力，以及它们之间的相互作用，仍然缺乏。一些相关的发现来自我们的实验室， 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， 解决迄今为止尚未回答的问题，这构成了本报告的关键意义。 提议在所有研究中，我们在大脑和行为水平上使用了可比较的测量方法， 年龄、能力和合并症状况的范围以及衡量潜在科学产出的指标的可比性 将这些数据集组合成统一的数据库是强大的。重要的神经发育问题， 阅读中的成分处理随着经验及其相关的大脑通路而变化， 好的和差的读者的差异将是可寻址的。此外，一项重要的长期战略计划， 这个项目将是一个基础，是让我们来自美国和其他国家的合作者参与建设， 在此基础上，并扩展此数据库，以解决跨拼写阅读发展。 拟议的数据库包括环境和背景数据、结构和功能（印刷品/语音 定位器任务）年龄上的大脑测量和字阅读中代码利用的敏感认知测量， 以及许多其他与语言相关的措施，这将允许用户绘制关键的大脑/行为关系。我们 从700名年龄在5-30岁之间的个体中收集了1000多个神经成像扫描， 从文字出现前到熟练的读者。所有数据都将完全匿名，以行业标准存储 脑成像数据结构（BIDS），并最终在资助完成后一年内上传到 OpenNEURO OpenNEURO是一个免费开放的平台，由NIH大脑计划批准 （https：//brainitiative.nih.gov/），用于共享体内神经成像数据。为了提高人们对 在所有数据都被收集后，将提交一份白色文件，描述数据的丰富性和力量。 登载此外，我们将使用现有的社交媒体渠道（例如， 哈斯金斯twitter饲料）和邮件渠道的会议与会者和其他谷歌邮件列表。