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Updated: Jun 5, 2026

Application of Granger Causality Analysis of the Directed Functional Connection in Alzheimer's Disease and Mild Cognitive Impairment
08:43

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Published on: August 7, 2017

Default mode network connectivity in stable vs progressive mild cognitive impairment.

J R Petrella1, F C Sheldon, S E Prince

  • 1Department of Radiology and Brain Imaging and Analysis Center, Duke University Medical Center, Durham, NC, USA. jeffrey.petrella@duke.edu

Neurology
|January 14, 2011
PubMed
Summary

Default mode network (DMN) dysfunction in Alzheimer disease (AD) and mild cognitive impairment (MCI) can predict cognitive decline. Functional MRI (fMRI) connectivity indices effectively distinguish MCI patients who progress to AD from those who remain stable.

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Area of Science:

  • Neuroimaging
  • Cognitive Neuroscience
  • Neurology

Background:

  • Default mode network (DMN) dysfunction is observed in Alzheimer disease (AD) and mild cognitive impairment (MCI).
  • Previous studies used cross-sectional fMRI, but predictive utility for cognitive decline remains unexplored.

Purpose of the Study:

  • To investigate the predictive value of DMN connectivity for future cognitive decline in individuals with MCI.
  • To assess if fMRI-derived DMN indices can differentiate MCI patients who progress to AD from those who remain stable.

Main Methods:

  • fMRI scans were acquired during a face-name memory task from 68 subjects (25 controls, 31 MCI, 12 AD).
  • MCI subjects were followed for 2.4 years to track progression to AD.
  • Goodness-of-fit (GOF) indices of DMN expression were calculated and correlated with cognitive decline and functional status.

Main Results:

  • DMN connectivity (GOF indices) was significantly lower in MCI and AD compared to controls (p < 0.0001).
  • Baseline GOF indices predicted progression from MCI to dementia, independent of other clinical factors.
  • In MCI, lower GOF indices correlated with greater decline in functional status (r = -0.40, p < 0.04).

Conclusions:

  • fMRI-based DMN connectivity indices can predict cognitive decline and conversion to AD in MCI patients over 2-3 years.
  • Findings suggest distinct functional brain connectivity endophenotypes in MCI, correlating with memory scores and progression rates.