轻度认知障碍患者的靶向定位干预和预后评估

Brain-X Pub Date : 2023-08-22 DOI:10.1002/brx2.25
Weiping Wang, Haiyan Zhao, Chang He, Yuanbo Cui, Zhen Wang, Alexander Hramov, Ping Luan, Xiong Luo, Jipeng Ouyang, Kurths Jürgen
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引用次数: 1

摘要

目前,还没有针对阿尔茨海默病(AD)的特定治疗方法。轻度认知障碍(MCI)是AD的临床前阶段,通过神经调节逆转症状的可能性很高。开发了一个单脑区域的状态动力学模型,以模拟早期轻度认知障碍患者的血氧水平依赖性信号。随后,利用功能连接分析,综合考虑多个复杂网络中心来定位干预目标,并设计了多脑区协同控制方案。最后,在大脑区域和子网络层面验证了干预的可靠性和有效性。该技术为未来AD和MCI的临床诊断和治疗提供了基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Target localization intervention and prognosis evaluation for an individual with mild cognitive impairment

Target localization intervention and prognosis evaluation for an individual with mild cognitive impairment

Currently, no specific treatments are available for Alzheimer's disease (AD). Mild cognitive impairment (MCI), the preclinical stage of AD, has a high possibility of reversing symptoms through neural regulation. A state dynamics model for single brain regions was developed to simulate blood oxygen level-dependent signals in a patient with early mild cognitive impairment. Subsequently, the analysis of functional connections was used to comprehensively consider multiple complex network centralities to locate the intervention targets, and a multiple brain region collaborative control scheme was designed. Finally, the reliability and effectiveness of the intervention were verified at the brain region and subnetwork levels. This technique provides a basis for future clinical diagnosis and treatment of AD and MCI.

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