Brain Topological Changes in Subjective Cognitive Decline and Associations with Amyloid Stages

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 (NC; 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 with NC, 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 burdens 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.

• Publication year

  2025

• Venue

  Journal of Neuroscience

• Publication date

  2025-05-22

• Fields of study

  Medicine

• Identifiers
  DOI 10.1523/JNEUROSCI.2310-24.2025PMID 40404356PMCID PMC12178276
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

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