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<p>Alzheimer’s disease (AD) involves early disruptions in brain connectivity, yet how AD risk markers relate to resting-state dynamic functional connectivity (rs-dFC) remains unclear. We examined associations of AD pathology, genetic risk, and blood-based biomarkers (BBMs) of neurodegeneration with local and distant rs-dFC in cognitively normal older adults and explored links with cognitive performance.&#xa0;Baseline data from 86 cognitively normal older adults in the AGUEDA trial (NCT05186090) were analyzed. Participants underwent amyloid-beta (Aβ)-PET, APOE4 genotyping, and plasma BBM quantification (Aβ42/40, BD-tau, GFAP, NfL, p-tau181, and p-tau217). rs-fMRI was used to compute voxel-wise local and distant rs-dFC using a stepwise connectivity framework. Models tested associations between AD markers and rs-dFC adjusting for age, sex, and education; secondary models examined extracted cluster values and six cognitive domains.&#xa0;Aβ-positive individuals and APOE4 carriers showed lower local connectivity in frontal regions. APOE4 carriers also exhibited higher distant connectivity in the superior motor area, inferior frontal gyrus, and anterior insula. Among BBMs, only NfL was associated with both lower local (insula and cingulate) and higher distant (precuneus, putamen, thalamus, supramarginal, and superior motor area) connectivity. Secondary analyses suggested additional cluster–cognition associations.&#xa0;Across AD risk markers, higher risk (Aβ-positivity, APOE4 carriage, and higher NfL) converged on a consistent rs-dFC signature characterized by reduced local and increased distant connectivity. This local-to-distant shift may serve as a candidate functional marker of early AD-related network vulnerability in cognitively normal aging and could support risk monitoring and stratification pending longitudinal validation.</p>

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A local-to-distant shift in dynamic brain connectivity marks early Alzheimer’s risk

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年6月20日

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  • Andrea Coca-Pulido,
  • Patricio Solis-Urra,
  • Oren Contreras-Rodríguez,
  • Carles Biarnés,
  • Marcos Olvera-Rojas,
  • Shivangi Jain,
  • Anuradha Sehrawat,
  • Yijun Chen,
  • Yolanda García-Rivero,
  • Manuel Gomez-Rio,
  • Kirk I. Erickson,
  • Jose Mora-Gonzalez,
  • Irene Esteban-Cornejo

摘要

Alzheimer’s disease (AD) involves early disruptions in brain connectivity, yet how AD risk markers relate to resting-state dynamic functional connectivity (rs-dFC) remains unclear. We examined associations of AD pathology, genetic risk, and blood-based biomarkers (BBMs) of neurodegeneration with local and distant rs-dFC in cognitively normal older adults and explored links with cognitive performance. Baseline data from 86 cognitively normal older adults in the AGUEDA trial (NCT05186090) were analyzed. Participants underwent amyloid-beta (Aβ)-PET, APOE4 genotyping, and plasma BBM quantification (Aβ42/40, BD-tau, GFAP, NfL, p-tau181, and p-tau217). rs-fMRI was used to compute voxel-wise local and distant rs-dFC using a stepwise connectivity framework. Models tested associations between AD markers and rs-dFC adjusting for age, sex, and education; secondary models examined extracted cluster values and six cognitive domains. Aβ-positive individuals and APOE4 carriers showed lower local connectivity in frontal regions. APOE4 carriers also exhibited higher distant connectivity in the superior motor area, inferior frontal gyrus, and anterior insula. Among BBMs, only NfL was associated with both lower local (insula and cingulate) and higher distant (precuneus, putamen, thalamus, supramarginal, and superior motor area) connectivity. Secondary analyses suggested additional cluster–cognition associations. Across AD risk markers, higher risk (Aβ-positivity, APOE4 carriage, and higher NfL) converged on a consistent rs-dFC signature characterized by reduced local and increased distant connectivity. This local-to-distant shift may serve as a candidate functional marker of early AD-related network vulnerability in cognitively normal aging and could support risk monitoring and stratification pending longitudinal validation.