Translation and Clinical Implementation of a Test of Language and Short-term Memory (STM) in Aphasia

失语症语言和短期记忆（STM）测试的翻译和临床实施

• 批准号: 10166261
• 负责人: Nadine Martin
• 金额: $ 23.78万
• 依托单位: TEMPLE UNIV OF THE COMMONWEALTH
• 依托单位国家: 美国
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-12-15 至 2022-11-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10166261
• 关键词: Address; Adoption; Affect; Aphasia; Architecture; Case Series; Case Study; Categories; Cognition; Cognitive; Collaborations; Communication; Data; Data Aggregation; Databases; Development; Diagnostic; Education; Effectiveness; Electronic Mail; Environment; Evaluation; Foundations; Guidelines; Health; Health Insurance Portability and Accountability Act; Impaired cognition; Impairment; Infrastructure; Knowledge; Laboratories; Laboratory Scientists; Language; Language Tests; Lead; Lesion; Linguistics; Measures; Methods; Modeling; Names; Nature; Network-based; Outcome; Policies; Process; Protocols documentation; Randomized Clinical Trials; Reporting; Research; Research Design; Research Personnel; Research Support; Resources; Retrieval; Role; Sample Size; Sampling; Scientist; Semantics; Short-Term Memory; Site; Stroke; Subcategory; Taxonomy; Testing; Translations; Treatment Efficacy; Treatment Protocols; United States National Institutes of Health; aphasia rehabilitation; base; clinical implementation; cloud based; data modeling; data sharing; data sharing networks; data standards; laboratory development; language impairment; large datasets; member; neuroimaging; novel; open data; open source; outreach; phonology; relating to nervous system; remediation; theories; therapy development; treatment research

Research on aphasia in the last 50 years has increased our understanding of the nature of aphasia and guided models of its remediation. Much of this knowledge has been gained from single case or case series studies of language impairment, which have been used to test theories of the cognitive and neural bases of language and to develop diagnostic and treatment protocols. From this research, taxonomies of aphasia have evolved from broad descriptions of impaired language abilities (e.g., naming) associated with lesioned neural regions to more detailed descriptions of cognitive components of language processes (e.g., impaired retrieval of semantic and phonological components of words). A downside of this advance is that more precise descriptions of impairment lead to a greater number of unique profiles with fewer members in each group, making it difficult to complete large scale studies of aphasia and its treatment. Additionally, there is little consistency of measures used in these studies. Establishing a network space for collaboration among scientists on studies of aphasia and its remediation would facilitate aggregation of sufficient data to support much needed large scale studies of the more precisely defined categories of aphasic impairment, including randomized clinical trials (RCT). It will also facilitate adoption of common measures across studies in different laboratories. Our aim is to build an online open source research space where scientists can collaborate on language and communication assessment and treatment research in aphasia, enabling the aggregation of data to support studies requiring larger samples, including RCT studies. We are a leading research team investigating the role of verbal short- term-working memory (STM-WM) in language ability and its impairment in aphasia. As such, we have (1) amassed a large dataset relating to this research question and (2) developed the Temple Assessment of Language and Short-term Memory in Aphasia (TALSA) as well as novel treatments for aphasia. The TALSA provides a unique assessment of language abilities under conditions of increased STM-WM load. This data base will be used to begin an open source space for scientists to network with our laboratory and others to generate research on language and cognitive impairments in aphasia. In this project, we will use an NIH- supported, cloud-based architecture (HOPE- Health Outcomes and Policy Evaluation Platform) to build a publicly accessible cloud-based network, Collaborative Research Network on Language and Cognition in Aphasia, CORE-Aphasia). This network will include two laboratories and a resource center (CORE-REED) where scientists who study aphasia can (1) retrieve data from and contribute data to the TALSA database (CORE- TALSA) and (2) implement large scale collaborative studies focused on the treatment of language and cognition in aphasia (CORE-TREAT). We anticipate that CORE-Aphasia will develop into a highly interactive open science network where large scale studies of language and cognitive impairments in aphasia can be completed as collaborations of multiple laboratories contributing data to a common study protocol.

过去50年中对失语症的研究增加了我们对失语症本质的理解 指导模型的修复模型。这些知识的大部分是从单案或病例系列中获得的 语言障碍的研究，该研究用于检验认知和神经基础的理论 语言并制定诊断和治疗方案。从这项研究中，失语症的分类法具有 从与病变的神经相关的语言能力受损（例如命名）的广泛描述演变而来 对语言过程认知组成部分进行更详细描述的区域（例如，检索受损 单词的语义和语音组成部分）。这一进步的缺点是更精确的描述 损害的损害会导致更多的独特概况，每组成员较少，这使得困难 完成对失语症及其治疗的大规模研究。此外，措施几乎没有一致性 这些研究用于这些研究。建立科学家在失语研究方面合作的网络空间 它的补救将有助于汇总足够的数据，以支持急需的大规模研究 更精确的失语障碍类别，包括随机临床试验（RCT）。会 还促进了在不同实验室研究中采取共同措施。我们的目的是建造一个 在线开源研究空间，科学家可以在语言和沟通上进行合作 失语症中的评估和治疗研究，使数据汇总以支持需要的研究 较大的样本，包括RCT研究。我们是一个领先的研究团队，调查了口头短期的作用 - 在语言能力及其失语症中的术语工作记忆（STM-WM）。因此，我们有（1） 与该研究问题有关的大型数据集积累了 语言和短期记忆（Talsa）中的短期记忆以及失语症的新颖治疗方法。 Talsa 在STM-WM负载增加的条件下，提供了对语言能力的独特评估。这个数据 基地将用于开源空间，供科学家与我们的实验室和其他人建立联系 对失语症的语言和认知障碍产生研究。在这个项目中，我们将使用NIH- 支持的，基于云的建筑（希望 - 健康成果和政策评估平台），以建立公开 基于云的访问网络，关于失语症语言和认知的协作研究网络， 核心 - 阿基）。该网络将包括两个实验室和一个资源中心（核心） 研究失语症的科学家可以（1）从数据库中检索数据并为TALSA数据库贡献数据（核心 - TALSA）和（2）实施大规模协作研究，重点是语言和认知治疗 在APHONE（核心治疗）中。我们预计核心 - 阿富素将发展为高度互动的开放科学 可以完成对语言和认知障碍的大规模研究的网络，可以完成为 多个实验室的协作为共同的研究方案贡献数据。