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Summary
This summary is machine-generated.

Brain structure and function coupling varies with age, sex, and amyloid levels in older adults. Higher amyloid burden and age are linked to increased decoupling, while sex shows differential effects, impacting brain network analysis in aging and early Alzheimer's disease (AD).

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Area of Science:

  • Neuroscience
  • Brain Imaging
  • Network Analysis

Background:

  • Brain function relies on structural pathways for neural communication.
  • The relationship between brain structure and function (coupling) varies regionally and is altered in aging and early Alzheimer's disease (AD).
  • This study investigates how age, sex, and amyloid burden affect structural-functional coupling in non-demented older adults.

Purpose of the Study:

  • To examine the association of age, sex, and amyloid burden with structural-functional coupling.
  • To identify regional variations in structural-functional coupling.
  • To understand the impact of these factors on brain network integrity in the context of aging and AD.

Main Methods:

  • Utilized diffusion-weighted imaging (DWI), functional magnetic resonance imaging (fMRI), and amyloid positron emission tomography (PET) from 439 participants.
  • Computed the Structural-Decoupling Index (SDI) using a graph signal processing framework to quantify brain structure-function decoupling.
  • Employed linear models to assess the effects of age, sex, and amyloid burden on global, network, and regional SDI.

Main Results:

  • Age was associated with increased SDI in the somatomotor network; higher amyloid burden correlated with increased global and network-level SDI, particularly in temporal regions.
  • Males exhibited lower global and network-level SDI, with regional differences in fronto-temporal areas.
  • Amyloid burden showed a significant association with higher SDI across multiple brain networks and regions.

Conclusions:

  • Age, sex, and amyloid burden independently influence structural-functional coupling across different brain scales.
  • Multimodal brain network analysis is sensitive to detecting changes related to aging and early AD pathophysiology.
  • Findings highlight distinct pathophysiological processes associated with aging, sex, and amyloid deposition.