Digital Biomarkers for Alzheimer’s Disease
阿尔茨海默病的数字生物标志物
基本信息
- 批准号:10495200
- 负责人:
- 金额:$ 4.09万
- 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:2021-09-30 至 2022-07-18
- 项目状态:已结题
- 来源:
- 关键词:AcousticsAgingAlzheimer disease detectionAlzheimer&aposs DiseaseAlzheimer&aposs disease pathologyAlzheimer’s disease biomarkerAmyloidAmyloid beta-ProteinApplications GrantsArea Under CurveArtificial IntelligenceAutobiographyAutopsyBiological MarkersBrainCategoriesCerebrospinal FluidClassificationClinicalCognitionCognitiveComplexConsumptionDataDementiaDevelopmentDiagnosisDiagnosticDiseaseDisease ProgressionEarly identificationElderlyFoundationsFramingham Heart StudyFutureHippocampus (Brain)HypertensionImageImpaired cognitionImpairmentIndividualLightMachine LearningMagnetic Resonance ImagingMeasurementMeasuresMethodologyMethodsNatural Language ProcessingNerve DegenerationNeurofibrillary TanglesNeuropsychologyOnline SystemsParticipantPathologicPerformancePhasePhenotypePositron-Emission TomographyPredictive ValueReportingResearchScanningSemanticsSpecificitySpeechSpinal PunctureStressSumSymptomsTestingTimeVoiceWeightWorkautomated speech recognitionbasebiomarker signaturecerebral atrophyclinical decision-makingcognitive testingcohortdensitydiagnostic accuracydigitalearly detection biomarkersfollow-upfunctional statushippocampal atrophyimprovedin vivoinnovationinsightlexicalmild cognitive impairmentneurofilamentneuroimagingnovelpre-clinicalprogramssmartphone Applicationsuccesstau Proteinstau-1technology validationtool
项目摘要
Alzheimer’s disease (AD) is marked by progressive neuropathological changes that begin decades before
cognitive and functional symptoms, and thus efforts have been focused on developing innovative tools
and biomarkers for early identification of pre-dementia stages. To date, clinical ability to identify those with
pre-dementia stages of AD has been limited and requires expensive (amyloid PET) or invasive (lumbar
puncture) testing. However, subtle changes in connected speech may be detectable years before overt
disease symptoms present. Our team has developed an approach that uses machine learning and natural
language processing combined with advanced acoustic phonetic and lexical-semantic analyses.
Preliminary data show promise in identifying AD biomarker status and predicting 2-year cognitive
progression. In the proposed study, we leverage our success in collecting cerebrospinal fluid (CSF)
biomarkers, neuroimaging and detailed cognitive phenotyping combined with audio recordings of
participants in the Brain Stress, Hypertension and Aging Research Program cohort. This cohort, now in its
third year of follow-up, consists of 400 individuals 50 years or older with normal cognition or mild
cognitive impairment. We plan to extend this cohort of 400 participants for 3 more years to collect
additional waves of voice recordings, cognitive assessments, follow-up CSF biomarkers and
neuroimaging. Our overarching hypothesis is that the derived novel features reflecting poor lexical-
semantic connectedness or acoustic perturbations are significantly different between biomarker-positive
and -negative participants, have better diagnostic performance with regards to the ATN framework than
traditional cognitive tests and can track disease progression. The Specific Aims are: 1) Determine the
accuracy of the derived digital biomarkers in detecting in-vivo AD pathology and ATN classification in the B-
SHARP cohort; 2) Investigate the association of the derived digital biomarkers with disease progression
and cognitive decline; and 3) Investigate the ability of repeated measurement of the digital biomarkers to
track disease progression. This project will provide needed insight into the use of non-invasive digital
biomarkers to improve the ability to detect and track longitudinal changes in cognitive and functional status
in AD and will set the foundation for a future larger pivotal study.
阿尔茨海默病(AD)是一种开始数十年的进行性神经病理学改变
认知和功能症状,因此努力集中在开发创新工具上
以及用于早期识别痴呆前期阶段的生物标志物。到目前为止,临床能力,以确定那些与
AD的痴呆前阶段是有限的,并且需要昂贵的(淀粉样蛋白PET)或侵入性的(腰椎
穿刺)测试。然而,连接语音的微妙变化可能在公开之前几年就可以检测到。
疾病症状出现。我们的团队开发了一种方法,使用机器学习和自然
语言处理结合先进的声学语音和词汇语义分析。
初步数据显示,在确定AD生物标志物状态和预测2年认知功能方面有希望。
进展在拟议的研究中,我们利用我们在收集脑脊液(CSF)
生物标志物,神经成像和详细的认知表型结合音频记录,
脑应激、高血压和衰老研究计划队列的参与者。这群人,现在在其
第三年随访,包括400名50岁或以上的认知正常或轻度
认知障碍我们计划将这个400名参与者的队列再延长3年,
额外的语音记录波、认知评估、随访CSF生物标志物和
神经成像我们的总体假设是,派生的小说特征反映了糟糕的词汇-
语义连接性或声学扰动在生物标志物阳性之间显著不同,
和阴性的参与者,有更好的诊断性能方面的ATN框架比
传统的认知测试,可以跟踪疾病的进展。具体目标是:1)确定
在B中检测体内AD病理学和ATN分类中导出的数字生物标志物的准确性。
SHARP队列; 2)研究衍生的数字生物标志物与疾病进展的关联
和认知下降;和3)研究重复测量数字生物标志物的能力,
跟踪疾病进展。该项目将提供所需的洞察使用非侵入性数字
生物标志物,以提高检测和跟踪认知和功能状态纵向变化的能力
并将为未来更大的关键研究奠定基础。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
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 }}
IHAB M HAJJAR其他文献
IHAB M HAJJAR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('IHAB M HAJJAR', 18)}}的其他基金
Mid-Career Program for Vascular Contributions to Alzheimer's disease
血管对阿尔茨海默氏病的影响的职业中期计划
- 批准号:
10343689 - 财政年份:2020
- 资助金额:
$ 4.09万 - 项目类别:
Mid-Career Program for Vascular Contributions to Alzheimer's disease
血管对阿尔茨海默氏病的影响的职业中期计划
- 批准号:
10757280 - 财政年份:2020
- 资助金额:
$ 4.09万 - 项目类别:
Mid-Career Program for Vascular Contributions to Alzheimer's disease
血管对阿尔茨海默氏病的影响的职业中期计划
- 批准号:
9892764 - 财政年份:2020
- 资助金额:
$ 4.09万 - 项目类别:
The role of the renin-angiotensin-endothelial pathway in AD
肾素-血管紧张素-内皮途径在 AD 中的作用
- 批准号:
9482119 - 财政年份:2017
- 资助金额:
$ 4.09万 - 项目类别:
A biomarker-driven trial of angiotensin receptor blockers for prodromal Alzheimer
血管紧张素受体阻滞剂治疗前驱阿尔茨海默病的生物标志物驱动试验
- 批准号:
9030268 - 财政年份:2016
- 资助金额:
$ 4.09万 - 项目类别:
A biomarker-driven trial of angiotensin receptor blockers for prodromal Alzheimer
血管紧张素受体阻滞剂治疗前驱阿尔茨海默病的生物标志物驱动试验
- 批准号:
9198189 - 财政年份:2016
- 资助金额:
$ 4.09万 - 项目类别:
相似海外基金
Interplay between Aging and Tubulin Posttranslational Modifications
衰老与微管蛋白翻译后修饰之间的相互作用
- 批准号:
24K18114 - 财政年份:2024
- 资助金额:
$ 4.09万 - 项目类别:
Grant-in-Aid for Early-Career Scientists
EMNANDI: Advanced Characterisation and Aging of Compostable Bioplastics for Automotive Applications
EMNANDI:汽车应用可堆肥生物塑料的高级表征和老化
- 批准号:
10089306 - 财政年份:2024
- 资助金额:
$ 4.09万 - 项目类别:
Collaborative R&D
The Canadian Brain Health and Cognitive Impairment in Aging Knowledge Mobilization Hub: Sharing Stories of Research
加拿大大脑健康和老龄化认知障碍知识动员中心:分享研究故事
- 批准号:
498288 - 财政年份:2024
- 资助金额:
$ 4.09万 - 项目类别:
Operating Grants
Baycrest Academy for Research and Education Summer Program in Aging (SPA): Strengthening research competencies, cultivating empathy, building interprofessional networks and skills, and fostering innovation among the next generation of healthcare workers t
Baycrest Academy for Research and Education Summer Program in Aging (SPA):加强研究能力,培养同理心,建立跨专业网络和技能,并促进下一代医疗保健工作者的创新
- 批准号:
498310 - 财政年份:2024
- 资助金额:
$ 4.09万 - 项目类别:
Operating Grants
関節リウマチ患者のSuccessful Agingに向けたフレイル予防対策の構築
类风湿性关节炎患者成功老龄化的衰弱预防措施的建立
- 批准号:
23K20339 - 财政年份:2024
- 资助金额:
$ 4.09万 - 项目类别:
Grant-in-Aid for Scientific Research (B)
Life course pathways in healthy aging and wellbeing
健康老龄化和福祉的生命历程路径
- 批准号:
2740736 - 财政年份:2024
- 资助金额:
$ 4.09万 - 项目类别:
Studentship
NSF PRFB FY 2023: Connecting physiological and cellular aging to individual quality in a long-lived free-living mammal.
NSF PRFB 2023 财年:将生理和细胞衰老与长寿自由生活哺乳动物的个体质量联系起来。
- 批准号:
2305890 - 财政年份:2024
- 资助金额:
$ 4.09万 - 项目类别:
Fellowship Award
I-Corps: Aging in Place with Artificial Intelligence-Powered Augmented Reality
I-Corps:利用人工智能驱动的增强现实实现原地老龄化
- 批准号:
2406592 - 财政年份:2024
- 资助金额:
$ 4.09万 - 项目类别:
Standard Grant
McGill-MOBILHUB: Mobilization Hub for Knowledge, Education, and Artificial Intelligence/Deep Learning on Brain Health and Cognitive Impairment in Aging.
McGill-MOBILHUB:脑健康和衰老认知障碍的知识、教育和人工智能/深度学习动员中心。
- 批准号:
498278 - 财政年份:2024
- 资助金额:
$ 4.09万 - 项目类别:
Operating Grants
Welfare Enhancing Fiscal and Monetary Policies for Aging Societies
促进老龄化社会福利的财政和货币政策
- 批准号:
24K04938 - 财政年份:2024
- 资助金额:
$ 4.09万 - 项目类别:
Grant-in-Aid for Scientific Research (C)