Public sharing of the Aphasia Recovery Cohort

失语症康复队列的公开分享

• 批准号: 10406397
• 负责人: JULIUS FRIDRIKSSON
• 金额: $ 22.35万
• 依托单位: UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA
• 依托单位国家: 美国
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-04-01 至 2026-03-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10406397
• 关键词: Aphasia; Archives; Award; Behavior assessment; Behavioral; Brain; Brain imaging; Brain region; Cataloging; Code; Communication; Computer software; Country; Data; Data Scientist; Data Set; Data Store; Databases; Discipline; FAIR principles; Financial Support; Funding; Goals; Grant; Image; Individual; Injury; Investments; Label; Magnetic Resonance Imaging; Methods; Modality; Modernization; Outcome; Participant; Patients; Pattern; Process; Recovery; Research; Resource Sharing; Resources; Risk Factors; Scanning; Scientist; Severities; Specific qualifier value; Speech; Spin Labels; Stroke; TRUST principles; Time; United States National Institutes of Health; Variant; Work; aphasia recovery; behavior measurement; cohort; data anonymization; data repository; data structure; experience; imaging modality; imaging system; improved; insight; language impairment; longitudinal dataset; machine learning method; member; neuroimaging; open data; public repository; relating to nervous system; repository; searchable database; skills; statistical and machine learning; stroke patient; stroke recovery; stroke survivor; tool

Project Summary/Abstract The Center for the Study of Aphasia Recovery (C-STAR, P50-DC014664) explores recovery from language impairments following stroke. The center acquires a broad range of magnetic resonance imaging (MRI) modalities as well behavioral measures from stroke patients experiencing language impairments. Like all modern large scale NIH grants, C-STAR has a resource sharing plan that guides dissemination of curated data (following an embargo). However, in addition to this data, the C-STAR team has been acquiring images from people with aphasia using our Siemens 3T MRI scanner since 2006. This trove of data, which we refer to as the `Aphasia Recovery Cohort', or ARC, is the product of both internally supported and NIH funded awards that did not require resource sharing plans and includes data from 250 stroke survivors scanned during 5776 unique sessions. In addition to the imaging sessions, ARC patients participated in numerous treatment and assessment sessions providing a rich range of behavioral measures. The current proposal seeks to curate these data to provide an anonymized public database and search tool (ARCquery). This will allow data scientists from around the world to apply their expertise to this archival dataset, providing new insights into brain function as well as identifying predictors of recovery. This repository will provide a Findable, Accessible, Interoperable, and Re-usable (FAIR) dataset.

项目摘要/摘要 失语症康复研究中心(C-STAR，P50-DC014664)探索康复 中风后的语言障碍。该中心获得了广泛的磁场范围 卒中患者的磁共振成像(MRI)方式和行为测量 经历语言障碍。像所有现代的大规模NIH拨款一样，C-STAR有一个 指导传播经过管理的数据的资源共享计划(在禁运之后)。 然而，除了这些数据外，C-STAR团队还一直在从患有 2006年开始使用我们的西门子3T磁共振扫描仪治疗失语症。这个数据宝库，我们称之为 失语症恢复队列，或ARC，是内部支持和NIH共同支持的产物 资助不需要资源共享计划的奖励，并包括250个中风的数据 幸存者在5776次独特的治疗过程中进行了扫描。除了成像会议，ARC 患者参加了大量的治疗和评估会议，提供了丰富的 行为测量。目前的提案寻求对这些数据进行管理，以提供 匿名公共数据库和搜索工具(ARCQuery)。这将使数据科学家能够从 将他们的专业知识应用于这一档案数据集，为 大脑功能以及识别康复的预测因素。该存储库将提供 可查找、可访问、可互操作和可重复使用(公平)的数据集。