可控性
网络可控性
转录组
默认模式网络
相关性
认知
神经科学
静息状态功能磁共振成像
基因调控网络
计算生物学
生物
医学
基因表达
基因
遗传学
数学
组合数学
中间性中心性
几何学
中心性
应用数学
作者
Chuchu Zheng,Xiaoxia Xiao,Wei Zhao,Zeyu Yang,Shuixia Guo
出处
期刊:Journal of Neural Engineering
[IOP Publishing]
日期:2024-03-19
卷期号:21 (2): 026018-026018
标识
DOI:10.1088/1741-2552/ad357e
摘要
Abstract Objective . In recent studies, network control theory has been applied to clarify transitions between brain states, emphasizing the significance of assessing the controllability of brain networks in facilitating transitions from one state to another. Despite these advancements, the potential alterations in functional network controllability associated with Alzheimer’s disease (AD), along with the underlying genetic mechanisms responsible for these alterations, remain unclear. Approach . We conducted a comparative analysis of functional network controllability measures between patients with AD ( n = 64) and matched normal controls (NCs, n = 64). We investigated the association between altered controllability measures and cognitive function in AD. Additionally, we conducted correlation analyses in conjunction with the Allen Human Brain Atlas to identify genes whose expression was correlated with changes in functional network controllability in AD, followed by a set of analyses on the functional features of the identified genes. Main results . In comparison to NCs, patients with AD exhibited a reduction in average controllability, predominantly within the default mode network (DMN) (63% of parcellations), and an increase in average controllability within the limbic (LIM) network (33% of parcellations). Conversely, AD patients displayed a decrease in modal controllability within the LIM network (27% of parcellations) and an increase in modal controllability within the DMN (80% of parcellations). In AD patients, a significant positive correlation was found between the average controllability of the salience network and the mini-mental state examination scores. The changes in controllability measures exhibited spatial correlation with transcriptome profiles. The significant genes identified exhibited enrichment in neurobiologically relevant pathways and demonstrated preferential expression in various tissues, cell types, and developmental periods. Significance . Our findings have the potential to offer new insights into the genetic mechanisms underlying alterations in the controllability of functional networks in AD. Additionally, these results offered perspectives for a deeper understanding of the pathogenesis and the development of therapeutic strategies for AD.
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