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Updated: Dec 26, 2025

Application of Granger Causality Analysis of the Directed Functional Connection in Alzheimer's Disease and Mild Cognitive Impairment
Published on: August 7, 2017
White matter changes from mild cognitive impairment to Alzheimer's disease: a meta-analysis
Linzi Qin1,2, Zhiwei Guo1, Morgan A McClure1
1Department of CT/MRI, Institute of Rehabilitation and Imaging of Brain Function, The Second Clinical Medical College of North Sichuan Medical College, Nanchong, 637000, China.
Abstract:
Previous diffusion tensor imaging (DTI) studies have reported that both mild cognitive impairment (MCI) and Alzheimer's disease (AD) revealed microstructural changes [fractional anisotropy (FA)]. However, these results were not conclusive. The purpose of this meta-analysis was to identify the consistent FA alterations and the differences between MCI and AD. Case-control studies investigating MCI and AD using FA were searched in the online databases. The quantitative FA value of cognition-related brain regions was extracted and the standardized mean difference (SMD) with 95% confidence interval (CI) was calculated using fixed or random effect models. Twenty six studies with a total of 1,021 patients were included in this meta-analysis. Significantly decreased FA in patients with AD were identified in the left frontal lobe, corpus callosum (CC), fornix, hippocampus (HP), cingulate gyrus (CG), cingulate bundle (CB), uncinate fasciculus (UF), superior longitudinal fasciculus(SLF), the inferior fronto-occipital fascicles (IFOF), and the inferior longitudinal fasciculus(ILF) relative to MCI in this meta-analysis. This study provides objective and quantitative evidence that AD is associated with FA alteration within left frontal lobe, CC, FX, HP, CG, CB, and UF may suggest the key regions of the process from MCI to AD.
Insights
Alzheimer's disease (AD) shows significantly decreased fractional anisotropy (FA) in key brain regions compared to mild cognitive impairment (MCI). This meta-analysis highlights specific areas affected during the progression from MCI to AD.
Area of Science:
- Neuroimaging
- Neurology
- Biomedical Engineering
Background:
- Diffusion Tensor Imaging (DTI) studies have indicated microstructural changes in mild cognitive impairment (MCI) and Alzheimer's disease (AD), but findings regarding fractional anisotropy (FA) have been inconsistent.
- Understanding consistent alterations in FA is crucial for differentiating between MCI and AD and tracking disease progression.
Purpose of the Study:
- To conduct a meta-analysis to identify consistent fractional anisotropy (FA) alterations in Alzheimer's disease (AD) and mild cognitive impairment (MCI).
- To determine the specific brain regions showing differing FA values between MCI and AD patients.
Main Methods:
- A systematic search of online databases was performed for case-control studies utilizing DTI and FA in MCI and AD.
- Quantitative FA values from cognition-related brain regions were extracted.
- Standardized Mean Difference (SMD) with 95% Confidence Intervals (CI) were calculated using fixed or random effect models.
Main Results:
- The meta-analysis included 26 studies with a total of 1,021 patients.
- Significantly decreased FA was observed in patients with AD compared to MCI in multiple brain regions, including the left frontal lobe, corpus callosum (CC), fornix (FX), hippocampus (HP), cingulate gyrus (CG), cingulate bundle (CB), uncinate fasciculus (UF), superior longitudinal fasciculus (SLF), inferior fronto-occipital fascicles (IFOF), and inferior longitudinal fasciculus (ILF).
- Specific regions like the left frontal lobe, CC, FX, HP, CG, CB, and UF may represent key areas affected during the transition from MCI to AD.
Conclusions:
- This meta-analysis provides objective, quantitative evidence of widespread FA alterations in AD relative to MCI.
- The identified brain regions with decreased FA are critical indicators of the pathological process from MCI to AD.
- These findings support the use of FA changes as potential biomarkers for disease progression in Alzheimer's disease research.
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