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Updated: May 28, 2026

Application of Granger Causality Analysis of the Directed Functional Connection in Alzheimer's Disease and Mild Cognitive Impairment
Published on: August 7, 2017
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
Abstract:
Participants with mild cognitive impairment (MCI) have a higher likelihood of developing Alzheimer's disease (AD) compared to those without MCI, and functional magnetic resonance neuroimaging (fMRI) used with MCI participants may prove to be an important tool in identifying early biomarkers for AD. We tested the hypothesis that functional connectivity differences exist between older adults with and without MCI using resting-state fMRI. Data were collected on over 200 participants of the Rush Memory and Aging Project, a community-based, clinical-pathological cohort study of aging. From the cohort, 40 participants were identified as having MCI, and were compared to 40 demographically matched participants without cognitive impairment. MCI participants showed lesser functional connectivity between the posterior cingulate cortex and right and left orbital frontal, right middle frontal, left putamen, right caudate, left superior temporal, and right posterior cingulate regions; and greater connectivity with right inferior frontal, left fusiform, left rectal, and left precentral regions. Furthermore, in an alternate sample of 113, connectivity values in regions of difference correlated with episodic memory and processing speed. Results suggest functional connectivity values in regions of difference are associated with cognitive function and may reflect the presence of AD pathology and increased risk of developing clinical AD.
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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