Prakash Ruchika S, McKenna Michael R, Gbadeyan Oyetunde, Shankar Anita R, Pugh Erika A, Teng James, Andridge Rebecca, Berry Anne, Scharre Douglas W
Department of Psychology, The Ohio State University, Columbus, Ohio, USA.
Center for Cognitive and Behavioral Brain Imaging, The Ohio State University, Columbus, Ohio, USA.
Alzheimers Dement. 2025 Jan;21(1):e14349. doi: 10.1002/alz.14349. Epub 2024 Dec 23.
Alzheimer's disease (AD) is characterized by the presence of two proteinopathies, amyloid and tau, which have a cascading effect on the functional and structural organization of the brain.
In this study, we used a supervised machine learning technique to build a model of functional connections that predicts cerebrospinal fluid (CSF) p-tau/Aβ (the PATH-fc model). Resting-state functional magnetic resonance imaging (fMRI) data from 289 older adults in the Alzheimer's Disease Neuroimaging Initiative (ADNI) were utilized for this model.
We successfully derived the PATH-fc model to predict the ratio of p-tau/Aβ as well as cognitive functioning in older adults across the spectrum of healthy and pathological aging. However, the in-sample fit magnitude was low, indicating a need for further model development.
Our pathology-based model of functional connectivity included representation from multiple canonical networks of the brain with intra-network connectivity associated with low pathology and inter-network connectivity associated with higher levels of pathology.
Whole-brain functional connectivity model (PATH-fc) is linked to AD pathophysiology. The PATH-fc model predicts performance in multiple domains of cognitive functioning. The PATH-fc model is a distributed model including representation from all canonical networks.
阿尔茨海默病（AD）的特征是存在两种蛋白病变，即淀粉样蛋白和tau蛋白，它们对大脑的功能和结构组织具有级联效应。
在本研究中，我们使用监督式机器学习技术构建了一个功能连接模型，该模型可预测脑脊液（CSF）中磷酸化tau蛋白/淀粉样蛋白β（PATH-fc模型）。来自阿尔茨海默病神经影像学倡议（ADNI）的289名老年人的静息态功能磁共振成像（fMRI）数据被用于该模型。
我们成功推导了PATH-fc模型，以预测健康和病理性衰老范围内老年人的磷酸化tau蛋白/淀粉样蛋白β比值以及认知功能。然而，样本内拟合程度较低，表明需要进一步开发模型。
我们基于病理学的功能连接模型包括来自大脑多个规范网络的表征，其中网络内连接与低病理学相关，网络间连接与较高水平的病理学相关。
全脑功能连接模型（PATH-fc）与AD病理生理学相关。PATH-fc模型可预测多个认知功能领域的表现。PATH-fc模型是一个分布式模型，包括来自所有规范网络的表征。
