Application of Multimodal Imaging Techniques to Examine Language Recovery in Post

应用多模态成像技术检查术后语言恢复

基本信息

批准号：
8293060
负责人：
Swathi Kiran
金额：
$ 12.51万
依托单位：
BOSTON UNIVERSITY (CHARLES RIVER CAMPUS)
依托单位国家：
美国
项目类别：
财政年份：
2011
资助国家：
美国
起止时间：
2011-07-01 至 2014-06-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/8293060
关键词：
Accounting Address Aftercare Aphasia Applications Grants Area Brain Brain region Chronic Contralateral Data Data Analyses Development Diagnosis Effectiveness Electroencephalography Etiology Functional Magnetic Resonance Imaging Future Goals Healthcare Healthy People 2010 Imaging Techniques Individual Infarction K-18 conjugate Knowledge Language Language Disorders Language Therapy Learning Left Lesion Link Location Maps Mentors Methods Modeling Multimodal Imaging Names Noise Outcomes Research Patients Pattern Performance Phase Population Psycholinguistics Recommendation Recovery Rehabilitation therapy Research Residual state Seeds Signal Transduction Specific qualifier value Stroke Structure Survivors Techniques Tissues Training Work aphasia rehabilitation base career development chronic stroke clinically significant design experience health disparity improved language processing neuroimaging neuromechanism post stroke programs research study semantic processing tool

项目摘要

DESCRIPTION (provided by applicant): One goal of the Healthy People 2010 program is to reduce health disparities across different segments of the population. Diagnosis and treatment of language deficits in patients with chronic aphasia is one area where disparities continue to exist even though this topic is of great theoretical and clinical significance. The current research on this topic, however, lacks specific recommendations on what language therapies have the potential to facilitate maximal language recovery in individuals with stroke and more importantly, the neural mechanisms that underlie such plasticity changes. This grant proposal extends the PI's previous work in monolingual aphasia rehabilitation to utilizing advanced functional neuroimaging techniques to better understand the mechanisms involved in language recovery in patients who receive theoretically motivated language therapy. The aim of this K18 mentored grant proposal is for the candidate to learn (a) detailed structural lesion analysis techniques, (b) state of the art fMRI data analysis techniques specific to stroke populations, and (c) MEG/EEG experimentation and analysis methods to examine effective connectivity changes subsequent to rehabilitation. These techniques will be implemented in a small scale project involving ten patients with aphasia who will participate in a ten week structured naming therapy program and will undergo pre and post therapy structural T1, functional MRI, and MEG/EEG experiments. At the end of this project, the candidate will be successful at utilizing an integrated set of tools that will ultimately allow a detailed, anatomically grounded characterization of the psycholinguistic, structural and functional basis of language recovery in chronic stroke survivors. The proposed work is also clinically important because it has the potential to define future health care practice in chronic stroke management.

描述（由申请人提供）：健康人2010年计划的一个目标是减少不同人群各个部分的健康差异。慢性失语症患者的语言缺陷的诊断和治疗是一个差异仍然存在的领域，即使该主题具有很大的理论和临床意义。然而，目前关于该主题的研究缺乏有关哪种语言疗法有可能促进中风患者最大程度地恢复语言的具体建议，更重要的是，基于这种可塑性的神经机制。该赠款提案扩展了PI以前的单语失语症康复中的工作，以利用先进的功能性神经影像学技术来更好地了解接受理论上动机语言治疗的患者中涉及语言恢复的机制。这项K18指导赠款提案的目的是使候选人学习（a）详细的结构性病变分析技术，（b）最先进的fMRI数据分析技术特定于中风人群，以及（c）MEG/EEG/EEG实验和分析方法以检查随后有效的连通性变化，以进行恢复。这些技术将在一个小型项目中实施，涉及十名失语症患者，他们将参加十周的结构化命名治疗计划，并将接受治疗前和治疗后结构T1，功能性MRI和MEG/EEG实验。在该项目的结尾，候选人将成功利用一组集成的工具，这些工具最终将允许对慢性中风幸存者中语言恢复的心理语言，结构和功能基础的详细，解剖学上的表征。拟议的工作在临床上也很重要，因为它有可能定义慢性中风管理中未来的医疗保健实践。