Establish Diagnostic and Prognostic Models for Preclinical AD Patients Based on Multimodal MRI, Behavioral, Genetic, and Plasma Biomarkers
试验速览
- 阶段
- 不适用
- 状态
- 招募中
- 发起方
- 入组人数
- 1,000
- 试验地点
- 1
- 主要终点
- the area under the curve of the classification analysis between progressors and nonprogressors
研究概览
简要总结
To establish the diagnostic and prognostic models that could help the preclinical identification of subjects at higher risk of clinical progression to mild cognitive impairment and dementia based on combined features of baseline demographic, cognitive, behavioral, multimodal MRI, genetic, and plasma data.
详细描述
Alzheimer's disease (AD) is a global concern. Due to the lack of effective therapeutic methods targeting late-stage AD patients, it is critical to investigate brain alterations in the preclinical stage to pave the way for early diagnosis and intervention. Structural and functional magnetic resonance imaging (MRI) has been proven to be an effective and non-invasive approach to explore the neural mechanisms underlying neurological disorders. Genetic factors such as apolipoprotein E and plasma biomarkers play important roles in AD development and progression. However, the interaction effects of risk genes and different pathologic pathways implicated in the pathogenesis of AD remain unclear. Furthermore, the diagnostic and prognostic models that could predict future cognitive decline or clinical progression based on objective features derived from baseline demographic, cognitive, behavioral, multimodal MRI, genetic, and plasma data need to be further explored.
We aim to investigate the neural basis underlying early cognitive deficits using structural and functional MRI data combined with novel analytical methods such as dynamic functional connectivity, surface-based morphometry, graph theory, multilayer network, functional-structural coupling, hidden Markov model, and connectome gradient mapping. Secondly, to explore the interaction effects of risk genes, which may help a better illustration of different biological pathways implicated in the pathogenesis of Alzheimer's disease. Thirdly, to investigate the divergent and dynamic abnormalities of multimodal imaging markers across different stages of Alzheimer's disease and their associations with plasma biomarkers, which may enhance our understanding of the neuropathological mechanisms. Fourthly, to provide scientific evidence on the potential targets for early intervention of neurodegenerative diseases. Lastly, to establish the diagnostic and prognostic models that could help the preclinical identification of subjects at higher risk of clinical progression to mild cognitive impairment and dementia based on combined features of baseline multimodal biomarkers. These studies may help a better understanding of the neural and biological basis underlying AD and pave the way for early diagnosis and intervention.
研究设计
- 研究类型
- Observational
- 观察模型
- Case Control
- 时间视角
- Prospective
入排标准
- 年龄范围
- 50 Years 至 79 Years（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •The inclusion criteria were 50-79 years old and having 8 or more years of education.
排除标准
- •Participants with a history of stroke, other neurological disorders that could lead to cognitive impairment (Parkinson's disease, encephalitis, epilepsy, brain tumors, etc.), severe anxiety or depression, and contraindications for magnetic resonance imaging (MRI) were not enrolled.
结局指标
主要结局
the area under the curve of the classification analysis between progressors and nonprogressors
时间窗: Baseline, Year 1, Year 2, Year 3
We'll measure the area under the curve of the ROC curves based on combined features of baseline demographic, cognitive, behavioral, multimodal MRI, genetic, and plasma data in discriminating those convert to MCI or AD (progressors) from those do not convert (nonprogressors)
次要结局
- mediation effects of MRI on the associations between gene/plasma biomarker and cognition/behavior(Baseline)