Early Biomarkers of Alzheimer's Disease: Using Speech Markers to Detect Mild Cognitive Impairment
阿尔茨海默病的早期生物标志物:使用语音标志物检测轻度认知障碍
基本信息
- 批准号:10862942
- 负责人:
- 金额:$ 7.56万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2021
- 资助国家:美国
- 起止时间:2021-08-01 至 2026-07-31
- 项目状态:未结题
- 来源:
- 关键词:3-DimensionalAcousticsAdultAffectAgeAge-associated memory impairmentAgingAllelesAlzheimer&aposs DiseaseAlzheimer&aposs disease diagnosisAlzheimer&aposs disease pathologyAlzheimer&aposs disease riskAlzheimer’s disease biomarkerAmyotrophic Lateral SclerosisAnatomyApolipoprotein EBiological MarkersBrainBrain regionClinicalClinical TrialsClinical assessmentsCognitionCognitiveCohort StudiesComplexDataDementiaDetectionDiagnosisDiagnosticEarly DiagnosisEarly InterventionEarly identificationEarly treatmentEducationElderlyElectromagneticsEvaluationFrequenciesFunctional disorderFutureGenesGenetic Predisposition to DiseaseGenotypeGoalsHealthcare IndustryHumanImpaired cognitionInterventionLearningLiquid substanceMagnetic Resonance ImagingMeasurableMeasurementMeasuresMediatingMentored Patient-Oriented Research Career Development AwardMotorMovementNeurobehavioral ManifestationsNeurodegenerative DisordersNeuropsychological TestsNeuropsychologyOnset of illnessPatientsPerformancePrimary Progressive AphasiaProcessProductionResearchRestRiskSamplingSensorySignal TransductionSpeechSpeech AcousticsStructureTechniquesTechnologyTestingTimeTrail Making TestTreatment EfficacyUncertaintyage effectage relatedbaseblood oxygen level dependentbrain tissueclinical diagnosiscognitive abilitycognitive changecognitive controlcognitive functioncognitive loadcognitive processcognitive skillcohortcost effectivecost efficientdetectordiagnostic strategydisease prognosisearly detection biomarkersfunctional MRI scanimaging biomarkerimprovedindexinginnovationinsightkinematicsmechanical propertiesmild cognitive impairmentmotor behaviormotor controlneural correlateneurobiological mechanismneuroimagingneuropathologynormal agingphysical propertypre-clinicalresearch clinical testingsextraining opportunitytreatment planning
项目摘要
PROJECT SUMMARY
Detecting early signs of Alzheimer’s disease (AD) and mild cognitive impairment (MCI) during the prodromal stage of
AD is becoming increasingly important for cost-effective clinical trials, developing targeted intervention strategies, and
gaining maximum benefit from currently available treatment plans. However, because of substantial differences in the
manifestation of cognitive impairment, preclinical cognitive changes are not discernible from age-related cognitive
decline. Although a combined approach of using neuropsychological, fluid, and imaging biomarkers has relatively
improved the timely diagnosis of AD, measurement of these biomarkers is expensive and highly technology-
dependent, making these techniques impractical for use in many older adults across different settings. In addition,
assessment of cognitive functions through the use of neuropsychological batteries remains the gold-standard in clinical
trials and evaluation of intervention efficacy. Thus, it is critical to identify early detectors that are 1) sensitive to
pathologies of AD, 2) strongly predictive of future change in cognition, and 3) accessible and feasible across diverse
settings. Based on our recent findings, which have identified measures of speech motor control as a powerful aid in
indexing early stages of neurodegenerative diseases such as amyotrophic lateral sclerosis and primary progressive
aphasia, we propose assessment of speech markers as an alternative or complementary and ecologically valid
strategy for identifying adults at risk of developing cognitive impairment due to AD. Speech production is one of
humans’ most complex motor behaviors, as it relies on tight integration of cognition, sensory, and motor processes
which are all subject to change with advancing age. We hypothesize that the rate of age-related changes in speech
motor control of adults can be influenced by genetic susceptibility to develop AD. In addition, we hypothesize that
measures of speech elicited during cognitively-demanding speech tasks can differentiate carriers of APOE ε4 (i.e., the
major gene known to increase AD risk) from noncarriers and that baseline speech acoustic and kinematic measures
can predict later cognitive decline. The proposed research will innovatively use acoustics and articulatory kinematics
in combination with neuroimaging to pursue three Aims. In Aim 1, we will determine the effect of aging on speech
motor control of adults with APOE ε4 positive (ε4+) and APOE ε4 negative (ε4-) genotypes matched in sex and
education. In Aim 2, we will identify the brain structural and resting-state functional bases for age-related changes in
speech measures of adults with ε4+ and ε4- genotypes. Finally, in Aim 3, we will determine 1) whether baseline speech
acoustic/ kinematic measures predict cognitive change over two years, as quantified by Hopkins Learning Test-
Revised (HVLT-R) and Trail Making Test (TMT) scores in ε4+ and ε4- groups and 2) if speech and cognitive changes
are mediated through alterations in brain structure and function. The findings of this study will provide critical information
about measures of speech motor control that can be efficiently incorporated into neuropsychological testing to optimize
the clinical assessment of AD.
项目总结
检测阿尔茨海默病(AD)和轻度认知障碍(MCI)的早期征兆
AD对于具有成本效益的临床试验、开发有针对性的干预策略以及
从目前可用的治疗计划中获得最大利益。然而,由于两国之间的巨大差异,
认知损害的表现,临床前的认知变化与年龄相关的认知变化是无法区分的
拒绝。尽管使用神经心理学、体液和影像生物标记物的综合方法具有相对
提高了AD的及时诊断,这些生物标志物的测量成本高昂,技术含量高-
依赖,使这些技术不切实际地在不同环境中的许多老年人中使用。此外,
通过使用神经心理学电池评估认知功能仍然是临床上的黄金标准
干预效果的试验和评价。因此,识别对1)敏感的早期检测器是至关重要的
阿尔茨海默病的病理,2)对未来认知变化的强烈预测,以及3)跨不同领域的可访问性和可行性
设置。根据我们最近的发现,这些发现确定了言语运动控制的措施是对
索引神经退行性疾病的早期阶段,如肌萎缩侧索硬化症和原发进行性疾病
失语症,我们建议评估言语标记作为一种替代或补充和生态有效
识别因阿尔茨海默病而出现认知障碍风险的成年人的策略。言语生产是其中之一
人类最复杂的运动行为,因为它依赖于认知、感觉和运动过程的紧密结合
这些都会随着年龄的增长而变化。我们假设与年龄相关的言语变化的速度
成人的运动控制会受到阿尔茨海默病的遗传易感性的影响。此外,我们假设
在认知要求高的言语任务中诱发的言语测量可以区分载脂蛋白Eε4的携带者(即
已知增加阿尔茨海默病风险的主要基因)来自非携带者,以及基线语音、声学和运动学测量
可以预测以后的认知衰退。拟议的研究将创新性地使用声学和关节运动学
与神经成像相结合,追求三个目标。在目标1中,我们将确定老化对语音的影响
载脂蛋白ε4阳性(ε4+)和载脂蛋白ε4阴性(ε4-)基因型在性别和性别上匹配的成年人的运动控制
教育。在目标2中,我们将确定与年龄相关的脑结构和静息状态的功能基础
ε4+和ε4-型成人的言语测量。最后,在目标3中,我们将确定1)基线语音
根据霍普金斯学习测试的量化结果,声学/运动学测量可以预测两年内的认知变化。
修订了ε4+和ε4-组的高中生测试和连线测验的分数,2)如果言语和认知发生变化
是通过大脑结构和功能的改变来调节的。这项研究的结果将提供关键信息
关于可以有效地结合到神经心理测试中以优化语音运动控制的措施
阿尔茨海默病临床评价。
项目成果
期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Home-Based Music Therapy to Support Bulbar and Respiratory Functions of Persons with Early and Mid-Stage Amyotrophic Lateral Sclerosis-Protocol and Results from a Feasibility Study.
- DOI:10.3390/brainsci12040494
- 发表时间:2022-04-13
- 期刊:
- 影响因子:3.3
- 作者:Apreleva Kolomeytseva, Alisa T.;Brylev, Lev;Eshghi, Marziye;Bottaeva, Zhanna;Zhang, Jufen;Fachner, Jorg C.;Street, Alexander J.
- 通讯作者:Street, Alexander J.
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Marziye Eshghi其他文献
Marziye Eshghi的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Marziye Eshghi', 18)}}的其他基金
Early Biomarkers of Alzheimer's Disease: Using Speech Markers to Detect Mild Cognitive Impairment
阿尔茨海默病的早期生物标志物:使用语音标志物检测轻度认知障碍
- 批准号:
10457426 - 财政年份:2021
- 资助金额:
$ 7.56万 - 项目类别:
Early Biomarkers of Alzheimer's Disease: Using Speech Markers to Detect Mild Cognitive Impairment
阿尔茨海默病的早期生物标志物:使用语音标志物检测轻度认知障碍
- 批准号:
10301599 - 财政年份:2021
- 资助金额:
$ 7.56万 - 项目类别:
Early Biomarkers of Alzheimer's Disease: Using Speech Markers to Detect Mild Cognitive Impairment
阿尔茨海默病的早期生物标志物:使用语音标志物检测轻度认知障碍
- 批准号:
10671493 - 财政年份:2021
- 资助金额:
$ 7.56万 - 项目类别:
Early Biomarkers of Alzheimer's Disease: Using Speech Markers to Detect Mild Cognitive Impairment
阿尔茨海默病的早期生物标志物:使用语音标志物检测轻度认知障碍
- 批准号:
10635160 - 财政年份:2021
- 资助金额:
$ 7.56万 - 项目类别:
相似海外基金
Nonlinear Acoustics for the conditioning monitoring of Aerospace structures (NACMAS)
用于航空航天结构调节监测的非线性声学 (NACMAS)
- 批准号:
10078324 - 财政年份:2023
- 资助金额:
$ 7.56万 - 项目类别:
BEIS-Funded Programmes
ORCC: Marine predator and prey response to climate change: Synthesis of Acoustics, Physiology, Prey, and Habitat In a Rapidly changing Environment (SAPPHIRE)
ORCC:海洋捕食者和猎物对气候变化的反应:快速变化环境中声学、生理学、猎物和栖息地的综合(蓝宝石)
- 批准号:
2308300 - 财政年份:2023
- 资助金额:
$ 7.56万 - 项目类别:
Continuing Grant
University of Salford (The) and KP Acoustics Group Limited KTP 22_23 R1
索尔福德大学 (The) 和 KP Acoustics Group Limited KTP 22_23 R1
- 批准号:
10033989 - 财政年份:2023
- 资助金额:
$ 7.56万 - 项目类别:
Knowledge Transfer Partnership
User-controllable and Physics-informed Neural Acoustics Fields for Multichannel Audio Rendering and Analysis in Mixed Reality Application
用于混合现实应用中多通道音频渲染和分析的用户可控且基于物理的神经声学场
- 批准号:
23K16913 - 财政年份:2023
- 资助金额:
$ 7.56万 - 项目类别:
Grant-in-Aid for Early-Career Scientists
Combined radiation acoustics and ultrasound imaging for real-time guidance in radiotherapy
结合辐射声学和超声成像,用于放射治疗的实时指导
- 批准号:
10582051 - 财政年份:2023
- 资助金额:
$ 7.56万 - 项目类别:
Comprehensive assessment of speech physiology and acoustics in Parkinson's disease progression
帕金森病进展中言语生理学和声学的综合评估
- 批准号:
10602958 - 财政年份:2023
- 资助金额:
$ 7.56万 - 项目类别:
The acoustics of climate change - long-term observations in the arctic oceans
气候变化的声学——北冰洋的长期观测
- 批准号:
2889921 - 财政年份:2023
- 资助金额:
$ 7.56万 - 项目类别:
Studentship
Collaborative Research: Estimating Articulatory Constriction Place and Timing from Speech Acoustics
合作研究:从语音声学估计发音收缩位置和时间
- 批准号:
2343847 - 财政年份:2023
- 资助金额:
$ 7.56万 - 项目类别:
Standard Grant
Flow Physics and Vortex-Induced Acoustics in Bio-Inspired Collective Locomotion
仿生集体运动中的流动物理学和涡激声学
- 批准号:
DGECR-2022-00019 - 财政年份:2022
- 资助金额:
$ 7.56万 - 项目类别:
Discovery Launch Supplement
Collaborative Research: Estimating Articulatory Constriction Place and Timing from Speech Acoustics
合作研究:从语音声学估计发音收缩位置和时间
- 批准号:
2141275 - 财政年份:2022
- 资助金额:
$ 7.56万 - 项目类别:
Standard Grant














{{item.name}}会员




