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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.

Jinxian Deng1,2, Boxin Sun1,2, Norman Scheel1,2

  • 1Michigan Alzheimer's Disease Research Center, Ann Arbor, MI, USA.

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

Individuals with amnestic mild cognitive impairment (aMCI) show reduced neural activity in the right executive control network during object-location association tasks compared to normal cognition (NC) individuals. This neural activity pattern can differentiate between NC and aMCI.

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Medical Imaging

Background:

  • Neural activity during cognitive tasks correlates with neuronal effort.
  • Functional magnetic resonance imaging (fMRI) studies neural activity differences.

Purpose of the Study:

  • Investigate neural activity differences between normal cognition (NC) and amnestic mild cognitive impairment (aMCI) during object-location association (OLA) tasks.
  • Determine if neural activity patterns can serve as biomarkers for distinguishing NC from aMCI.

Main Methods:

  • Utilized an event-related fMRI paradigm with 43 participants (19 NC, 24 aMCI).
  • Analyzed blood-oxygen-level-dependent (BOLD) signals during novel and repeated OLA trials.
  • Employed hemodynamic response function (HRF) deconvolution to evaluate neural activity in functional brain networks.

Main Results:

  • aMCI individuals exhibited significantly weaker neural activity than NC in the right executive control network (RECN), particularly in novel trials.
  • NC individuals showed lower neural activity in repeated trials, suggesting enhanced information processing capacity.
  • Time-varying neural activity in RECN and visuospatial regions differed significantly between groups (p < 0.05).
  • A linear Support Vector Machine (SVM) model achieved 86% accuracy in classifying NC and aMCI using five key neural activity features.

Conclusions:

  • aMCI is associated with reduced neural activity in RECN regions during OLA tasks, especially for novel stimuli.
  • Time-varying neural activity during OLA tasks shows potential as a biomarker for differentiating between NC and aMCI.