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Dynamic Brain Imaging of Speech in Primary Progressive Aphasia

原发性进行性失语症言语的动态脑成像

基本信息

批准号：
10740640
负责人：
MARIA LUISA GORNO TEMPINI
金额：
$ 237.31万
依托单位：
UNIVERSITY OF CALIFORNIA, SAN FRANCISCO
依托单位国家：
美国
项目类别：
财政年份：
2017
资助国家：
美国
起止时间：
2017-09-15 至 2026-06-30
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10740640
关键词：
Acoustics Address Affect Alzheimer&apos s Disease Alzheimer&apos s disease pathology Anterior Atrophic Bayesian Analysis Behavior Therapy Behavioral Biophysics Brain Brain imaging Categories Clinical Cognitive Data Development Diffusion Diffusion Magnetic Resonance Imaging Dorsal Feedback Foundations Frequencies Frontotemporal Lobar Degenerations Funding Generations Goals Graph Image Impaired cognition Inferior Investigation Knowledge Language Learning Left Machine Learning Magnetic Resonance Imaging Magnetoencephalography Measures Memory Methods Modeling Motor Names Nerve Degeneration Neurologic Symptoms Neurosciences Parietal Pathology Pattern Phenotype Primary Progressive Aphasia Process Production Rest Semantics Sensory Speech Structure Syndrome Testing Variant Work auditory feedback cerebral atrophy connectome functional disability gray matter machine learning method morphometry motor control multimodality nervous system disorder network dysfunction neural neural circuit neural correlate neuroimaging neuroregulation novel phonology recruit sequence learning temporal measurement theories white matter

项目摘要

PROJECT SUMMARY Primary progressive aphasia (PPA) is a clinical syndrome characterized by isolated, progressive loss of speech and language abilities due to frontotemporal lobar degeneration (FTLD) or Alzheimer’s disease (AD). Three clinical variants of PPA have been identified: i) logopenic variant (lvPPA) associated with loss of phonological abilities, left temporal-parietal atrophy and atypical AD pathology; ii) nonfluent variant (nfvPPA) with motor speech/grammar deficits, left inferior frontal damage and FTLD pathology; and iii) semantic variant (svPPA), with conceptual knowledge loss, anterior temporal damage and mostly FTLD-type pathology. In the first funding period, we demonstrated distinct functional neuropathophysiology across PPA variants (>40 pubs). Building upon these findings, in this renewal, we focus on revealing important mechanistic neural circuit abnormalities in PPA variants. Such mechanistic understanding is the foundation for development of better neuromodulatory or behavioral interventions for PPA. We leverage the unmatched temporal resolution of magnetoencephalography imaging (MEGI) with structural and diffusion MRI (to account for neurodegeneration of grey and white matter), spectral graph modeling, speech motor control modeling, machine learning, as well as detailed cognitive and language phenotyping. The specific aims are: 1) To determine distinct resting-state structure-function imaging of neural oscillations in PPA; 2) To examine mechanisms of control and learning in the speech production in PPA; 3) To examine neural interactions between speech production and semantic representations in PPA. This unique combination of multimodal brain imaging (MEGI, structural MRI & diffusion MRI), modeling (spectral graph, speech motor control), machine learning, and speech neuroscience will: a) delineate the functional manifestations of brain network dysfunction in PPA variants, and b) identify putative brain network targets and strategies for behavioral, or neuromodulation therapies for PPA.

项目摘要原发性进行性失语是一种以孤立性、进行性言语障碍为特征的临床综合征以及由于额颞叶变性（FTLD）或阿尔茨海默病（AD）导致的语言能力。三 PPA的临床变体已经被鉴定：i）与语音缺失相关的逻辑缺失变体（lvPPA），能力，左颞顶叶萎缩和非典型AD病理; ii）非流畅性变体（nfvPPA）伴运动言语/语法缺陷、左下额叶损伤和FTLD病理;和iii）语义变体（svPPA），概念性知识丧失、前颞损伤和大多数FTLD型病理。在第一次融资中在此期间，我们证明了PPA变体（>40个pubs）的不同功能性神经病理生理学。建筑在这些发现的基础上，在这次更新中，我们专注于揭示重要的机械神经回路， PPA变体的异常。这种机械的理解是发展的基础，更好的神经调节或行为干预。我们利用无与伦比的时间脑磁图成像（MEGI）与结构和扩散MRI的分辨率（以解释灰质和白色物质的神经变性），频谱图建模，言语运动控制建模，机器学习，以及详细的认知和语言表型。具体目标是：1）确定不同的静息态结构-功能成像的PPA神经振荡; 2）检查机制的控制和 3）研究PPA中言语产生和学习之间的神经相互作用， PPA中的语义表示。这种独特的多模式脑成像（MEGI，结构MRI和MRI）组合扩散MRI），建模（频谱图，语音运动控制），机器学习和语音神经科学将：a）描述PPA变体中脑网络功能障碍的功能表现，以及B）识别 PPA的行为或神经调节疗法的假定脑网络靶点和策略。

项目成果

期刊论文数量（18）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Functional neuronal circuitry and oscillatory dynamics in human brain organoids.

DOI：
10.1038/s41467-022-32115-4
发表时间：
2022-07-29
期刊：
Nature communications
影响因子：
16.6
作者：
通讯作者：

Subspace-based interference removal methods for a multichannel biomagnetic sensor array.

多通道生物磁传感器阵列的基于子空间的干扰消除方法。

DOI：
10.1088/1741-2552/aa7693
发表时间：
2017
期刊：
Journal of neural engineering
影响因子：
4
作者：
Sekihara,Kensuke;Nagarajan,SrikantanS
通讯作者：
Nagarajan,SrikantanS

A Novel Scanning Algorithm for MEG/EEG imaging using Covariance Partitioning and Noise Learning.

使用协方差分区和噪声学习的 MEG/EEG 成像的新型扫描算法。

DOI：
10.1109/embc.2019.8856953
发表时间：
2019
期刊：
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
影响因子：
0
作者：
Cai,Chang;Sekihara,Kensuke;Nagarajan,SrikantanS
通讯作者：
Nagarajan,SrikantanS

Beta-band activity in medial prefrontal cortex predicts source memory encoding and retrieval accuracy.

内侧前额叶皮层的β带活动可预测源记忆编码和检索的准确性。

DOI：
10.1038/s41598-019-43291-7
发表时间：
2019
期刊：
Scientific reports
影响因子：
4.6
作者：
Subramaniam,Karuna;Hinkley,LeightonBN;Mizuiri,Danielle;Kothare,Hardik;Cai,Chang;Garrett,Coleman;Findlay,Anne;Houde,JohnF;Nagarajan,SrikantanS
通讯作者：
Nagarajan,SrikantanS

Magnetoencephalography Imaging Reveals Abnormal Information Flow in Temporal Lobe Epilepsy.