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Cardiac biomarkers are enzymes, proteins, and hormones released into the blood when cardiac cells are injured. They are powerful tools for triaging.
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Dried Blood Spot Collection of Health Biomarkers to Maximize Participation in Population Studies
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Biomarkers.

Soyoung Lee1, Sheena R Baratono1, Grace T Burt1

  • 1Brigham and Women's Hospital, Boston, MA, USA.

Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association
|December 24, 2025
PubMed
Summary
This summary is machine-generated.

Alzheimer's disease (AD) brain atrophy in cognitively unimpaired individuals is linked to distinct brain networks. Identifying these networks aids in understanding early AD pathophysiology and risk stratification.

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Area of Science:

  • Neuroscience
  • Medical Imaging
  • Gerontology

Background:

  • Alzheimer's disease (AD) pathology, including amyloid-β (Aβ) accumulation, precedes cognitive decline.
  • The relationship between Aβ-associated brain atrophy and specific cognitive networks in preclinical AD remains unclear.
  • Understanding early network-level atrophy is crucial for AD pathophysiology and risk stratification.

Purpose of the Study:

  • To determine if Aβ-associated brain atrophy in preclinical AD maps to distinct cognitive networks.
  • To identify specific brain networks linked to objective and subjective cognitive changes in early AD.
  • To explore the utility of atrophy network mapping for understanding preclinical AD.

Main Methods:

  • Analysis of structural MRI and amyloid-β PET scans from 1778 cognitively unimpaired older adults (65-85 years).
  • Creation of individualized atrophy maps using vertex-wise general linear models.
  • Estimation of functional connectivity of atrophy patterns using a normative human connectome.
  • Linear regression to associate atrophy connectivity with objective (PACC) and subjective (CFI) cognitive scores.

Main Results:

  • Distinct brain networks were identified for objective and subjective cognitive changes in preclinical AD.
  • Atrophy patterns connected to the superior temporal gyrus were associated with objective cognitive impairment (PACC).
  • Atrophy patterns connected to the mid-cingulate were associated with subjective cognitive impairment (CFI).

Conclusions:

  • Atrophy network mapping successfully identified distinct brain networks linked to transitional cognitive changes in preclinical AD.
  • These findings enhance understanding of early AD pathophysiology.
  • The approach is valuable for localizing early cognitive signs in preclinical AD, extending its application from AD dementia.