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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
The Dose-Dependent Effects of Vascular Risk Factors on Dynamic Compensatory Neural Processes in Mild Cognitive
Haifeng Chen1, Fan Su1, Qing Ye1
1Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, China.
Abstract:
Background/Objectives: Mild cognitive impairment (MCI) has been associated with risk for Alzheimer's Disease (AD). Previous investigations have suggested that vascular risk factors (VRFs) were associated with cognitive decline and AD pathogenesis, and the intervention of VRFs may be a possible way to prevent dementia. However, in MCI, little is known about the potential impacts of VRFs on neural networks and their neural substrates, which may be a neuroimaging biomarker of the disease progression. Methods: 128 elderly Han Chinese participants (67 MCI subjects and 61 matched normal elderly) with or without VRFs (hypertension, diabetes mellitus, hypercholesterolemia, smoking and alcohol drinking) underwent the resting-state functional magnetic resonance imaging (fMRI) and neuropsychological tests. We obtained the default mode network (DMN) to identify alterations in MCI with the varying number of the VRF and analyzed the significant correlation with behavioral performance. Results: The effects of VRF on the DMN were primarily in bilateral dorsolateral prefrontal cortex (DLPFC) (i.e., middle frontal gyrus). Normal elderly showed the gradually increased functional activity of DLPFC, while a fluctuant activation of DLPFC was displayed in MCI with the growing number of the VRF. Interestingly, the left DLPFC further displayed significantly dynamic correlation with executive function as the variation of VRF loading. Initial level of compensation was observed in normal aging and none-vascular risk factor (NVRF) MCI, while these compensatory neural processes were suppressed in One-VRF MCI and were subsequently re-aroused in Over-One-VRF MCI. Conclusions: These findings suggested that the dose-dependent effects of VRF on DLPFC were highlighted in MCI, and the dynamic compensatory neural processes that fluctuated along with variations of VRF loading could be key role in the progression of MCI.
Insights
Vascular risk factors (VRFs) impact brain networks in mild cognitive impairment (MCI). Higher VRF load alters default mode network activity, affecting executive function and potentially indicating disease progression.
Area of Science:
- Neuroimaging
- Cognitive Neuroscience
- Gerontology
Background:
- Mild cognitive impairment (MCI) is a precursor to Alzheimer's Disease (AD).
- Vascular risk factors (VRFs) are linked to cognitive decline and AD, suggesting potential preventative strategies.
- The impact of VRFs on neural networks in MCI remains unclear, hindering the identification of neuroimaging biomarkers for disease progression.
Purpose of the Study:
- To investigate the effects of VRFs on neural network alterations in elderly individuals with MCI.
- To identify potential neuroimaging biomarkers associated with VRF load and cognitive function in MCI.
- To explore the relationship between VRF burden and compensatory neural processes in the default mode network (DMN).
Main Methods:
- 128 elderly Han Chinese participants (67 MCI, 61 controls) underwent resting-state fMRI and neuropsychological testing.
- VRFs included hypertension, diabetes mellitus, hypercholesterolemia, smoking, and alcohol consumption.
- Default mode network (DMN) activity and its correlation with executive function were analyzed based on VRF count.
Main Results:
- VRF effects on the DMN were concentrated in the bilateral dorsolateral prefrontal cortex (DLPFC).
- MCI participants showed fluctuant DLPFC activation with increasing VRF load, unlike controls.
- The left DLPFC demonstrated dynamic correlation with executive function, and compensatory neural processes varied with VRF burden.
Conclusions:
- VRFs exert dose-dependent effects on the DLPFC in individuals with MCI.
- Dynamic compensatory neural processes in the DMN fluctuate with VRF load, playing a crucial role in MCI progression.
- These findings highlight potential neuroimaging targets for understanding and managing MCI progression in the context of vascular health.
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