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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Microstructural brain changes track cognitive decline in mild cognitive impairment
Emilie T Reas1, Donald J Hagler2, Nathan S White2
1Department of Neurosciences, University of California, San Diego, La Jolla, CA, USA; Center for Multimodal Imaging and Genetics, University of California, San Diego, La Jolla, CA, USA.
Abstract:
Improved characterization of the microstructural brain changes occurring in the early stages of Alzheimer's disease may permit more timely disease detection. This study examined how longitudinal change in brain microstructure relates to cognitive decline in aging and prodromal Alzheimer's disease. At baseline and two-year follow-up, 29 healthy controls and 21 individuals with mild cognitive impairment or mild Alzheimer's disease underwent neuropsychological evaluation and restriction spectrum imaging (RSI). Microstructural change in the hippocampus, entorhinal cortex, and white matter tracts previously shown to be vulnerable to Alzheimer's disease, was compared between healthy controls and impaired participants. Partial correlations and stepwise linear regressions examined whether baseline RSI metrics predicted subsequent cognitive decline, or change in RSI metrics correlated with cognitive change. In medial temporal gray and white matter, restricted isotropic diffusion and crossing fibers were lower, and free water diffusion was higher, in impaired participants. Restricted isotropic diffusion in the hippocampus declined more rapidly for cognitively impaired participants. Baseline hippocampal restricted isotropic diffusion predicted cognitive decline, and change in hippocampal and entorhinal restricted isotropic diffusion correlated with cognitive decline. Within controls, changes in white matter restricted oriented diffusion and crossing fibers correlated with memory decline. In contrast, there were no correlations between rates of cortical atrophy and cognitive decline in the full sample or within controls. Changes in medial temporal lobe microarchitecture were associated with cognitive decline in prodromal Alzheimer's disease, and these changes were distinct from microstructural changes in normal cognitive aging. RSI metrics of brain microstructure may hold value for predicting cognitive decline in aging and for monitoring the course of Alzheimer's disease.
Insights
Early Alzheimer's disease detection may improve with brain microstructural analysis. Restriction spectrum imaging (RSI) revealed that changes in medial temporal lobe microstructure predict cognitive decline in aging and early Alzheimer's disease.
Area of Science:
- Neuroimaging
- Neurology
- Alzheimer's Disease Research
Background:
- Early detection of Alzheimer's disease (AD) is crucial for timely intervention.
- Microstructural brain changes precede overt cognitive symptoms in AD.
- Understanding these early changes can differentiate normal aging from prodromal AD.
Purpose of the Study:
- To investigate the relationship between longitudinal microstructural brain changes and cognitive decline.
- To compare microstructural changes in healthy controls versus individuals with mild cognitive impairment (MCI) or mild AD.
- To determine if Restriction Spectrum Imaging (RSI) metrics can predict cognitive decline.
Main Methods:
- Longitudinal study with baseline and 2-year follow-up.
- Participants: 29 healthy controls and 21 individuals with MCI or mild AD.
- Neuropsychological evaluation and Restriction Spectrum Imaging (RSI) were performed.
Main Results:
- Impaired participants showed altered medial temporal lobe microstructure (lower restricted isotropic diffusion, higher free water diffusion).
- Hippocampal restricted isotropic diffusion declined faster in cognitively impaired individuals.
- Baseline hippocampal RSI predicted cognitive decline; changes correlated with cognitive decline.
Conclusions:
- Medial temporal lobe microstructural changes are linked to cognitive decline in prodromal AD.
- These changes differ from those observed in normal cognitive aging.
- RSI metrics show potential for predicting cognitive decline and monitoring AD progression.
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