Functional connectivity variations in mild cognitive impairment: associations with cognitive function

S Duke Han1, Konstantinos Arfanakis, Debra A Fleischman

  • 1Department of Behavioral Sciences, Rush University Medical Center, 1645 W. Jackson Blvd., Chicago, IL 60612, USA. duke_han@rush.edu

Insights

Functional connectivity differences detected using fMRI in individuals with mild cognitive impairment (MCI) may indicate early Alzheimer's disease (AD) biomarkers. These brain network changes correlate with cognitive function, suggesting potential for early AD risk assessment.

Area of Science:

  • Neuroimaging
  • Cognitive Neuroscience
  • Gerontology

Background:

  • Mild cognitive impairment (MCI) increases the risk of developing Alzheimer's disease (AD).
  • Functional magnetic resonance neuroimaging (fMRI) shows promise for identifying early AD biomarkers.
  • Resting-state fMRI can reveal alterations in brain functional connectivity.

Purpose of the Study:

  • To investigate functional connectivity differences in older adults with and without MCI using resting-state fMRI.
  • To determine if these connectivity differences are associated with cognitive function.
  • To explore the potential of fMRI-based biomarkers for early AD detection.

Main Methods:

  • Utilized resting-state fMRI data from over 200 participants in the Rush Memory and Aging Project.
  • Compared functional connectivity patterns between 40 participants with MCI and 40 demographically matched controls.
  • Analyzed correlations between connectivity in identified regions and cognitive measures (episodic memory, processing speed) in an independent sample.

Main Results:

  • MCI participants exhibited reduced functional connectivity between the posterior cingulate cortex and several frontal, putamen, caudate, and temporal regions.
  • MCI participants showed increased connectivity with inferior frontal, fusiform, rectal, and precentral regions.
  • Connectivity values in regions of difference correlated significantly with episodic memory and processing speed.

Conclusions:

  • Functional connectivity patterns differ between individuals with and without MCI.
  • These connectivity alterations are associated with cognitive performance.
  • fMRI-derived functional connectivity may serve as a potential biomarker for AD pathology and increased risk of developing clinical AD.

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