Zhang Lu, Qu Junqi, Ma Haotian, Chen Tong, Liu Tianming, Zhu Dajiang
Department of Computer Science and Engineering, The University of Texas at Arlington, Arlington, TX 76019, USA.
Department of Computer Science, The University of Georgia, Athens, GA 30602, USA.
Psychoradiology. 2024 Jan 11;4:kkad033. doi: 10.1093/psyrad/kkad033. eCollection 2024.
Dementia is an escalating global health challenge, with Alzheimer's disease (AD) at its forefront. Substantial evidence highlights the accumulation of AD-related pathological proteins in specific brain regions and their subsequent dissemination throughout the broader area along the brain network, leading to disruptions in both individual brain regions and their interconnections. Although a comprehensive understanding of the neurodegeneration-brain network link is lacking, it is undeniable that brain networks play a pivotal role in the development and progression of AD. To thoroughly elucidate the intricate network of elements and connections constituting the human brain, the concept of the brain connectome was introduced. Research based on the connectome holds immense potential for revealing the mechanisms underlying disease development, and it has become a prominent topic that has attracted the attention of numerous researchers. In this review, we aim to systematically summarize studies on brain networks within the context of AD, critically analyze the strengths and weaknesses of existing methodologies, and offer novel perspectives and insights, intending to serve as inspiration for future research.
痴呆症是一项不断升级的全球健康挑战,阿尔茨海默病(AD)处于其前沿位置。大量证据表明,与AD相关的病理蛋白在特定脑区积累,随后沿脑网络在更广泛区域扩散,导致各个脑区及其相互连接受到破坏。尽管缺乏对神经退行性变与脑网络联系的全面理解,但不可否认的是,脑网络在AD的发生和发展中起着关键作用。为了全面阐明构成人类大脑的复杂元素网络和连接,引入了脑连接组的概念。基于连接组的研究在揭示疾病发展机制方面具有巨大潜力,已成为一个吸引众多研究者关注的突出课题。在本综述中,我们旨在系统总结AD背景下关于脑网络的研究,批判性分析现有方法的优缺点,并提供新的观点和见解,以期为未来研究提供启发。