Decreased amyloid-related structure–function coupling in preclinical Alzheimer’s disease

BACKGROUND: Structural pathways of the brain facilitate functional communication, and their disruption in preclinical Alzheimer's disease may reflect network vulnerability and compensatory brain maintenance. However, it remains unclear how early amyloid-β affects structure-function alignment, whether effects are explained by functional network organisation, how they relate to cognition, and which biological processes contribute to their development. METHODS: We included 460 older adults without dementia from AMYPAD-PNHS with functional MRI, diffusion MRI, and amyloid-β PET. Structure-function coupling was quantified using the structural-decoupling index (SDI) at global, sub-network, and regional scales. Linear models investigated the effect of amyloid-β burden on SDI. Mediation analyses evaluated whether functional graph topology explained amyloid-associated SDI effects and whether SDI mediated the relationship between amyloid-β burden and cognition. Regional gene expression data were integrated to assess transcriptomic determinants of amyloid-related structure-function coupling. RESULTS: Amyloid-positive individuals exhibit higher global SDI, driven by visual cortices. Mediation analyses demonstrate that amyloid-related SDI alterations are explained by reductions in local clustering, indicating less segregated processing. Despite higher SDI in amyloid-positive individuals, elevated SDI in visual regions mitigates the negative effect of amyloid-β burden on cognition. Amyloid-related SDI changes correlate with genes associated with amyloid-β metabolism, microglial activation, and synaptic remodelling. CONCLUSIONS: Early amyloid-β pathology is associated with decoupling of brain structure and function, primarily in visual cortices, mediated by network reconfiguration and shaped by regional molecular architecture. These findings suggest that lower structure-function coupling may represent a compensatory mechanism in preclinical Alzheimer's disease and highlight SDI as a biomarker for stratification and monitoring in prevention trials.