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.

主要进行性失语症（PPA）是一种临床综合征，其中语言区域的退化主要半球与语音和/或语言功能的渐进性缺陷有关。总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中的潜在语言缺陷，并使用此信息更好地区分患者 PPA彼此和正常衰老。最近的研究确定了PPA的三种临床变体：进行性非素质失语症（PNFA），语义痴呆（SD）和徽标进行性失语症（LPA）。每个变体都与特征语言特征，脑萎缩的不同模式以及不同的相关特定潜在的致病过程的可能性，使正确的鉴别诊断高度相关。我们将在三年内招募48例PPA患者（每种变体中的16例）和24个正常对照，并且获取fMRI数据以及结构MRI，语言和认知措施。 fMRI范式包括具有七个条件的句法处理任务参数构成句法复杂性有所不同。研究将解决两个具体目标。首先是确定音量损失之间的关系，变化在不同的PPA变体中，功能性MRI激活和语言缺陷。第二个目的是改善使用机器学习算法对PPA变体进行鉴别诊断，包括结构和结构功能成像措施。