Xueyan Jiang,Mingkai Zhang,Chuyao Yan,Marcel Daamen,Henning Boecker,Feng Yue,Frank Jessen,Xiaochen Hu,Ying Han
{"title":"Brain Topological Changes in Subjective Cognitive Decline and Associations with Amyloid Stages.","authors":"Xueyan Jiang,Mingkai Zhang,Chuyao Yan,Marcel Daamen,Henning Boecker,Feng Yue,Frank Jessen,Xiaochen Hu,Ying Han","doi":"10.1523/jneurosci.2310-24.2025","DOIUrl":null,"url":null,"abstract":"This study examined how amyloid burden affects structural and functional brain network topology in subjective cognitive decline (SCD), a risk condition for Alzheimer's disease (AD). Functional and structural brain networks were analyzed in 100 individuals with SCD and 86 normal controls (both sexes included) using resting-state functional MRI and diffusion tensor imaging. Topological properties of brain networks were evaluated as indicators of information exchange efficiency and network robustness. Amyloid burden in 55 SCD participants was measured using amyloid PET imaging and a frequency-based staging method, which defined global and regional amyloid burden for four anatomical stages. Compared to normal controls, individuals with SCD exhibited increased functional nodal efficiency and structural nodal betweenness in the left anterior and median cingulate gyri, with no differences in network-level properties. Amyloid staging revealed four cortical divisions: stage 1, fusiform and lateral temporal gyri; stage 2, occipital areas; stage 3, default mode network (DMN), midline brain and lateral frontotemporal areas; and stage 4, the remaining cortex. The global and regional amyloid burden of each cortical stage were positively associated with the node-level properties of a set of DMN hubs, with the left anterior and posterior cingulate gyri being congruently associated with all amyloid stages. These findings suggest that amyloid burden continuously influences network adaptations through DMN hubs, irrespective of local proximity to pathology. Increased nodal properties in cortical hubs may reflect heightened information-processing demands during early amyloid deposition in this population at risk for AD.Significance Statement Amyloid spreads throughout the cortex in AD. It is unclear whether early amyloid deposition may trigger system-level network reorganization in SCD who are at risk for AD. We examined the brain topology alterations in SCD and its relationship with amyloid deposition at different cortical stages. We found increased node-level topological properties, in the core default mode network region (i.e., the cingulate cortex) in SCD. Increasing regional amyloid load at all stages showed consistent associations with the increasing node-level topological properties of the cingulate cortex in SCD. Our findings suggest that amyloid deposition impacts the system-level network adaptation via the cingulate cortex already at the very early stage and is unlikely to have a local effect in this AD risk population.","PeriodicalId":50114,"journal":{"name":"Journal of Neuroscience","volume":"57 1","pages":""},"PeriodicalIF":4.4000,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Neuroscience","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1523/jneurosci.2310-24.2025","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"NEUROSCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
This study examined how amyloid burden affects structural and functional brain network topology in subjective cognitive decline (SCD), a risk condition for Alzheimer's disease (AD). Functional and structural brain networks were analyzed in 100 individuals with SCD and 86 normal controls (both sexes included) using resting-state functional MRI and diffusion tensor imaging. Topological properties of brain networks were evaluated as indicators of information exchange efficiency and network robustness. Amyloid burden in 55 SCD participants was measured using amyloid PET imaging and a frequency-based staging method, which defined global and regional amyloid burden for four anatomical stages. Compared to normal controls, individuals with SCD exhibited increased functional nodal efficiency and structural nodal betweenness in the left anterior and median cingulate gyri, with no differences in network-level properties. Amyloid staging revealed four cortical divisions: stage 1, fusiform and lateral temporal gyri; stage 2, occipital areas; stage 3, default mode network (DMN), midline brain and lateral frontotemporal areas; and stage 4, the remaining cortex. The global and regional amyloid burden of each cortical stage were positively associated with the node-level properties of a set of DMN hubs, with the left anterior and posterior cingulate gyri being congruently associated with all amyloid stages. These findings suggest that amyloid burden continuously influences network adaptations through DMN hubs, irrespective of local proximity to pathology. Increased nodal properties in cortical hubs may reflect heightened information-processing demands during early amyloid deposition in this population at risk for AD.Significance Statement Amyloid spreads throughout the cortex in AD. It is unclear whether early amyloid deposition may trigger system-level network reorganization in SCD who are at risk for AD. We examined the brain topology alterations in SCD and its relationship with amyloid deposition at different cortical stages. We found increased node-level topological properties, in the core default mode network region (i.e., the cingulate cortex) in SCD. Increasing regional amyloid load at all stages showed consistent associations with the increasing node-level topological properties of the cingulate cortex in SCD. Our findings suggest that amyloid deposition impacts the system-level network adaptation via the cingulate cortex already at the very early stage and is unlikely to have a local effect in this AD risk population.
期刊介绍:
JNeurosci (ISSN 0270-6474) is an official journal of the Society for Neuroscience. It is published weekly by the Society, fifty weeks a year, one volume a year. JNeurosci publishes papers on a broad range of topics of general interest to those working on the nervous system. Authors now have an Open Choice option for their published articles