Dynamic brain function analysis based on resting-state fMRI and its application in neurodegenerative diseases

doi:10.3969/j.issn.1672-6731.2022.03.003

Abstract

Abstract: Neurodegenerative diseases are a group of disorders in which progressive loss of neurons due to abnormal protein deposits causes structural and functional changes in the brain, including Alzheimer's disease (AD), Parkinson's disease (PD), dementia with Lewy bodies (DLB) and frontotemporal dementia (FTD). In brain imaging studies of neurodegenerative diseases, resting-state fMRI (rs-fMRI) has been widely used, with most studies analysing static features of brain function. However, the human brain is dynamic and its neural activity is non-stationary, and static studies can not reveal the time-varying features of brain function. In recent years, many studies have used dynamic analysis of brain function based on rs-fMRI in order to reveal the dynamic nature of complex neural activity in the brain and further investigate the pathophysiological mechanisms and diagnostic markers of disease. In this paper, we will briefly introduce the rs-fMRI analysis method, the common methods of rs-fMRI-based dynamic analysis of brain function and its application and research progress in common neurodegenerative diseases.

Key words: Neurodegenerative diseases, Magnetic resonance imaging, Review

摘要： 神经系统变性疾病是异常蛋白沉积导致的神经元进行性缺失，进而引起脑结构和功能改变的一类疾病，主要包括阿尔茨海默病、帕金森病、路易体痴呆和额颞叶痴呆等。静息态fMRI（rs-fMRI）业已广泛应用于神经系统变性疾病的影像学研究，主要评估脑功能静态特征。然而，人类大脑是动态变化的，其神经活动呈非平稳性，基于rs-fMRI的脑功能动态分析可以揭示复杂神经活动的动态特性，探究神经系统变性疾病的病理生理学机制和诊断标志物。本文综述rs-fMRI分析方法、基于rs-fMRI的脑功能动态分析方法及其在神经系统变性疾病中的应用进展。

关键词: 神经变性疾病, 磁共振成像, 综述

TIAN Yuan, LI Kai, SU Wen. Dynamic brain function analysis based on resting-state fMRI and its application in neurodegenerative diseases[J]. Chinese Journal of Contemporary Neurology and Neurosurgery, 2022, 22(3): 137-141.

田媛, 李凯, 苏闻. 基于静息态功能磁共振成像的脑功能动态分析及其在神经系统变性疾病中的应用进展[J]. 中国现代神经疾病杂志, 2022, 22(3): 137-141.

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URL: https://journal11.magtechjournal.com/cjcnn/EN/10.3969/j.issn.1672-6731.2022.03.003

https://journal11.magtechjournal.com/cjcnn/EN/Y2022/V22/I3/137

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