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Related Experiment Video

Updated: Jan 7, 2026

Dried Blood Spot Collection of Health Biomarkers to Maximize Participation in Population Studies
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Biomarkers.

Aldana Lizarraga1, Michalis Kassinopoulos1, José María González-de-Echávarri1,2,3

  • 1Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain.

Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association
|December 25, 2025
PubMed
Summary
This summary is machine-generated.

In cognitively unimpaired individuals, Alzheimer's disease (AD) biomarkers like Aβ42/40 and p-tau181 impact brain network connectivity. Specific network patterns may help preserve cognitive function despite early AD pathology.

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Area of Science:

  • Neuroscience
  • Brain Connectivity
  • Alzheimer's Disease Research

Background:

  • Altered resting-state functional connectivity (RSFC) is observed in early Alzheimer's disease (AD).
  • Graph metrics from RSFC networks offer insights into brain organization but their role in early AD dysfunction is understudied.
  • The relationship between network metrics, AD biomarkers, and cognitive decline needs further investigation.

Purpose of the Study:

  • To investigate the association between cerebrospinal fluid (CSF) AD biomarkers and brain network graph metrics in cognitively unimpaired (CU) individuals.
  • To explore interactions between CSF biomarkers, sex, and age on network metrics.
  • To examine the impact of these interactions on longitudinal cognitive changes.

Main Methods:

  • Analysis of RSFC data from 326 CU individuals (ALFA cohort).
  • Assessment of CSF Aβ42, Aβ40, and p-tau181 levels.
  • Computation of graph metrics (APL, LE, BC, CC, Strength) from 218 brain regions using the Brainnetome atlas.
  • Linear regression models and interaction analyses with cognitive measures (PACC).

Main Results:

  • CSF Aβ42/40 and p-tau181 positively affected Betweenness Centrality (BC) in the Dorsal Attention Network (DAN).
  • Interactions between Aβ42/40 and sex influenced Average Path Length (APL), Closeness Centrality (CC), and Strength in the Default Mode Network (DMN).
  • Interactions between Aβ42/40 and DMN graph metrics (APL, LE, CC) predicted changes in cognitive performance (PACC).

Conclusions:

  • Soluble amyloid-beta and p-tau have opposing effects on DAN information flow in CU individuals.
  • Lower DMN integration and centrality may support cognitive resilience in the presence of early AD pathology.
  • Network topology plays a crucial role in early AD, potentially identifying targets for cognitive resilience interventions.