Chrome Extension
WeChat Mini Program
Use on ChatGLM

Multimodal Neuroimaging Biomarkers and Subtle Cognitive Decline in a Population-Based Cohort Without Dementia

Journal of Alzheimer's disease : JAD(2025)

Univ Pittsburgh | Eastern Virginia Med Sch

Cited 0|Views4
Abstract
Background The relationship between subtle cognitive decline and Alzheimer's disease (AD) pathology as measured by biomarkers in settings outside of specialty memory clinics is not well characterized. Objective To investigate how subtle longitudinal cognitive decline relates to neuroimaging biomarkers in individuals drawn from a population-based study in an economically depressed, small-town area in southwestern Pennsylvania, USA. Methods A subset of participants without dementia (N = 115, age 76.53 years +/- 6.25) from the Monongahela Youghiogheny Healthy Aging Team (MYHAT) study completed neuroimaging including magnetic resonance imaging (MRI) measures of AD-signature region cortical thickness and white matter hyperintensities (WMH), Pittsburgh compound B (PiB)-positron emission tomography (PET) for amyloid-beta (A beta) deposition, and [F-18]AV-1451-PET for tau deposition. Neuropsychological evaluations were completed at multiple timepoints up to 11 years prior to neuroimaging. A beta positivity was determined using a regional approach. We used linear mixed models to examine neuroimaging biomarker associations with retrospective cognitive slopes in five domains and a global cognitive composite. Results Among A beta(+) participants (38%), there were associations between (i) tau Braak III/IV and language decline (p < 0.05), (ii) cortical thickness and both memory decline (p < 0.001) and global cognitive decline (p < 0.01), and (iii) WMH and decline in executive function (p < 0.05) and global cognition (p < 0.05). Among A beta(-) participants, there was an association between tau Braak III/IV and decline on tests of attention/psychomotor speed (p < 0.05). Conclusions These findings confirm an A beta-dependent early AD biomarker pathway, and suggest a possible A beta-independent, non-AD process underlying subtle cognitive decline in a population-based sample of older adults without dementia.
More
Translated text
Key words
aging,Alzheimer's disease,biomarkers,cognition,neuropsychology
求助PDF
上传PDF
Bibtex
AI Read Science
AI Summary
AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
Example
Background
Key content
Introduction
Methods
Results
Related work
Fund
Key content
  • Pretraining has recently greatly promoted the development of natural language processing (NLP)
  • We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
  • We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
  • The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
  • Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
Upload PDF to Generate Summary
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper

要点】:该研究探讨了在非专业记忆诊所环境下,轻微认知衰退与神经影像生物标志物之间的关系,并揭示了阿尔茨海默病(AD)生物标志物路径的早期特征。

方法】:使用线性混合模型分析参与者的神经影像生物标志物(包括MRI测量AD特征区域皮质厚度、白质高信号强度、PiB-PET测量淀粉样蛋白β沉积以及[F-18]AV-1451-PET测量tau沉积)与之前多个时间点的神经心理学评估结果之间的关联。

实验】:从Monongahela Youghiogheny Healthy Aging Team (MYHAT)研究中选取无痴呆症状的115名参与者(平均年龄76.53岁),进行神经影像学检测,并通过线性混合模型分析得出,在Aβ阳性参与者中,tau Braak III/IV与语言衰退、皮质厚度与记忆衰退及全局认知衰退、白质高信号强度与执行功能衰退及全局认知衰退存在关联;在Aβ阴性参与者中,tau Braak III/IV与注意/精神运动速度测试衰退存在关联。