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

IF 4.1 3区医学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY

ACS Chemical Neuroscience 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

引用次数: 0

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。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

ACS Chemical Neuroscience BIOCHEMISTRY & MOLECULAR BIOLOGY-CHEMISTRY, MEDICINAL

CiteScore

9.20

自引率

4.00%

发文量

323

审稿时长

1 months

期刊介绍： ACS Chemical Neuroscience publishes high-quality research articles and reviews that showcase chemical, quantitative biological, biophysical and bioengineering approaches to the understanding of the nervous system and to the development of new treatments for neurological disorders. Research in the journal focuses on aspects of chemical neurobiology and bio-neurochemistry such as the following: Neurotransmitters and receptors Neuropharmaceuticals and therapeutics Neural development—Plasticity, and degeneration Chemical, physical, and computational methods in neuroscience Neuronal diseases—basis, detection, and treatment Mechanism of aging, learning, memory and behavior Pain and sensory processing Neurotoxins Neuroscience-inspired bioengineering Development of methods in chemical neurobiology Neuroimaging agents and technologies Animal models for central nervous system diseases Behavioral research