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.

近50年来对失语症的研究加深了我们对失语症本质的理解和认识 其补救的指导性模型。这些知识大部分是从单个病例或病例系列中获得的 语言障碍的研究，已被用来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，失语症的分类有 从对与神经受损相关的语言能力受损(例如命名)的广泛描述演变而来 更详细地描述语言过程的认知成分(例如，提取障碍 单词的语义和语音成分)。这种进步的一个不利之处是，更准确的描述 损伤会导致更多的独特配置文件，而每个组中的成员更少，这使得它变得困难 完成失语症及其治疗的大规模研究。此外，措施几乎没有一致性。 在这些研究中使用。建立科学家在失语症研究方面的合作网络空间 它的补救措施将有助于收集足够的数据，以支持亟需的大规模研究 更准确地定义失语症损害的类别，包括随机临床试验(RCT)。会的 还促进在不同实验室的研究中采取共同措施。我们的目标是建立一个 在线开源研究空间，科学家可以在这里就语言和交流进行合作 失语症的评估和治疗研究，使数据能够聚合以支持需要的研究 更大的样本，包括随机对照试验研究。我们是一个领先的研究小组，调查言语短小的作用- 语言能力中的术语工作记忆及其在失语中的损害因此，我们有(1) 积累了与本研究问题相关的大型数据集，并(2)开发了 失语症的语言和短期记忆(TALSA)以及失语症的新治疗方法。塔尔萨 在STM-WM负载增加的情况下提供独特的语言能力评估。此数据 基地将被用来开始一个开源空间，供科学家与我们的实验室和其他人建立网络联系，以 对失语症的语言和认知障碍进行研究。在这个项目中，我们将使用NIH- 受支持的基于云的架构(HOPE-健康结果和政策评估平台)，以构建公共 基于云的无障碍网络、失语症语言和认知合作研究网络、 核心-失语症)。该网络将包括两个实验室和一个资源中心(CORE-REED)， 研究失语症的科学家可以(1)从TALSA数据库检索数据并向其贡献数据(CORE- TALSA)和(2)实施以语言和认知治疗为重点的大规模合作研究 在失语症(核心治疗)中。我们期待核心失语症将发展成为一门高度互动的开放科学 失语症中语言和认知障碍的大规模研究可以完成的网络 多个实验室的合作为共同的研究方案提供数据。