Functional neuroimaging of language processing in primary progressive aphasia

原发性进行性失语症语言处理的功能神经影像学

基本信息

批准号：
8247172
负责人：
Stephen M Wilson
金额：
$ 12.2万
依托单位：
UNIVERSITY OF ARIZONA
依托单位国家：
美国
项目类别：
财政年份：
2010
资助国家：
美国
起止时间：
2010-07-07 至 2014-03-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/8247172
关键词：
Address Affect Aging Agrammatism Algorithms Alzheimer&apos s Disease Anterior Aphasia Atrophic Characteristics Clinical Cognitive Complement Comprehension Data Diagnosis Differential Diagnosis Discrimination Disease Etiology Frontotemporal Dementia Functional Aphasias Functional Imaging Functional Magnetic Resonance Imaging Funding Funding Agency Goals Grant Image Individual Inferior Knowledge Language Left Linguistics Machine Learning Magnetic Resonance Imaging Measures Memory Neurologic Neurons Patients Pattern Play Primary Progressive Aphasia Process Progressive Aphasias Recruitment Activity Research Role Semantic Dementias Short-Term Memory Societies Speech Stroke Syndrome System Taxes Temporal Lobe Variant Work base cerebral atrophy cohort frontal lobe improved language processing lexical neuroimaging neuropsychological normal aging prevent programs relating to nervous system syntax

项目摘要

Primary progressive aphasia (PPA) is a clinical syndrome in which degeneration of language regions in the dominant hemisphere is associated with progressive deficits in speech and/or language function. The overall goals of this project are to use functional magnetic resonance imaging (fMRI) to investigate neural changes underlying linguistic deficits in PPA, and to use this information to better discriminate patients with variants of PPA from each other and from normal aging. Recent studies have identified three clinical variants of PPA: progressive non-fluent aphasia (PNFA), semantic dementia (SD) and logopenic progressive aphasia (LPA). Each variant is associated with characteristic linguistic features, distinct patterns of brain atrophy, and different likelihoods of particular underlying pathogenic processes, making correct differential diagnosis highly relevant. We will recruit 48 patients with PPA (16 of each variant) and 24 normal controls over a three year period, and acquire fMRI data along with structural MRI, linguistic and cognitive measures. The fMRI paradigm consists of a syntactic processing task with seven conditions parametrically varying in syntactic complexity. The research will address two specific aims. The first is to identify the relationships between volume loss, changes in functional MRI activation, and linguistic deficits, in the different PPA variants. The second aim is to improve differential diagnosis of PPA variants using machine learning algorithms incorporating both structural and functional imaging measures.

原发性进行性失语症（PPA）是一种临床综合征，其中语言区域退化优势半球与言语和/或语言功能的进行性缺陷有关。整体该项目的目标是使用功能磁共振成像（fMRI）来研究神经变化 PPA 中潜在的语言缺陷，并利用这些信息更好地区分具有不同变异的患者 PPA 相互之间以及正常老化过程中产生的影响。最近的研究已经确定了 PPA 的三种临床变体：进行性非流利性失语症（PNFA）、语义痴呆（SD）和语言减少进行性失语症（LPA）。每个变体都与特有的语言特征、不同的脑萎缩模式以及不同的特定潜在致病过程的可能性，使正确的鉴别诊断高度相关。我们将在三年内招募 48 名 PPA 患者（每种变异 16 名）和 24 名正常对照，并且获取功能磁共振成像数据以及结构磁共振成像、语言和认知测量。 fMRI 范式包括句法处理任务，具有句法复杂性参数变化的七个条件。研究将解决两个具体目标。首先是确定体积损失、体积变化之间的关系不同 PPA 变体中的功能性 MRI 激活和语言缺陷。第二个目标是改善使用机器学习算法对 PPA 变异进行鉴别诊断，该算法结合了结构和功能影像测量。