Integrated cerebellar radiomic-network model for predicting mild cognitive impairment in Alzheimer's disease

IF 13 1区 医学 Q1 CLINICAL NEUROLOGY Alzheimer's & Dementia Pub Date : 2024-11-13 DOI:10.1002/alz.14361
Yini Chen, Yiwei Qi, Yiying Hu, Xinhui Qiu, Tao Qiu, Song Li, Meichen Liu, Qiqi Jia, Bo Sun, Cong Liu, Tianbai Li, Weidong Le
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Abstract

Pathological and neuroimaging alterations in the cerebellum of Alzheimer's disease (AD) patients have been documented. However, the role of cerebellum-derived radiomic and structural connectome modeling in the prediction of AD progression remains unclear.
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用于预测阿尔茨海默病轻度认知功能障碍的小脑辐射组网综合模型
阿尔茨海默病(AD)患者小脑的病理和神经影像学改变已被记录在案。然而,小脑放射组和结构连接组模型在预测阿尔茨海默病进展中的作用仍不明确。
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来源期刊
Alzheimer's & Dementia
Alzheimer's & Dementia 医学-临床神经学
CiteScore
14.50
自引率
5.00%
发文量
299
审稿时长
3 months
期刊介绍: Alzheimer's & Dementia is a peer-reviewed journal that aims to bridge knowledge gaps in dementia research by covering the entire spectrum, from basic science to clinical trials to social and behavioral investigations. It provides a platform for rapid communication of new findings and ideas, optimal translation of research into practical applications, increasing knowledge across diverse disciplines for early detection, diagnosis, and intervention, and identifying promising new research directions. In July 2008, Alzheimer's & Dementia was accepted for indexing by MEDLINE, recognizing its scientific merit and contribution to Alzheimer's research.
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