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Updated: Jan 8, 2026

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Alzheimer's Imaging Consortium.

Evgeny J Chumin1,2, Enrico Amico3, Sahith Peddireddy1

  • 1Indiana Alzheimer's Disease Research Center, Indiana University School of Medicine, Indianapolis, IN, USA.

Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association
|December 23, 2025
PubMed
Summary
This summary is machine-generated.

Resting state functional connectivity (FC) identifiability in Alzheimer's disease (AD) shows reduced accuracy over time, with significant variability between individuals. Further research is needed to understand patient-specific factors influencing FC's clinical utility in AD.

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Area of Science:

  • Neuroimaging
  • Biomarker Discovery
  • Alzheimer's Disease Research

Background:

  • Resting state functional magnetic resonance imaging (rsfMRI) offers insights into brain functional connectivity (FC), a potential biomarker for Alzheimer's disease (AD).
  • Understanding the longitudinal stability of FC is crucial for its application in the protracted course of AD.

Purpose of the Study:

  • To investigate functional connectivity (FC) identifiability in individuals with varying Alzheimer's disease (AD) severity.
  • To assess the longitudinal utility of FC identifiability over two- and four-year follow-ups.

Main Methods:

  • rsfMRI data from cognitively normal (CN), mild cognitive impairment (MCI), and AD dementia participants were analyzed.
  • Functional connectivity (FC) identifiability was computed within and across two- and four-year intervals.
  • Participants were stratified by diagnostic group and changes in diagnosis over time.

Main Results:

  • Cross-sectional analysis revealed reduced FC identifiability in AD compared to older CN and MCI groups.
  • Longitudinal analysis showed that while many participants could be matched across visits, identifiability success rates were lower and more variable in MCI/AD groups (>80% for older CN).
  • Significant variability in identifiability was observed within and between diagnostic groups.

Conclusions:

  • FC identifiability shows variability over time, extending previous findings to a four-year gap.
  • Variable identifiability success rates in diagnostic groups highlight the need to investigate patient-specific factors.
  • Understanding this variance is key to advancing the clinical utility of FC in Alzheimer's disease (AD).