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Updated: Feb 1, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Amnestic mild cognitive impairment individuals with dissimilar pathologic origins show common regional vulnerability
Swati Rane1, Manus J Donahue2,3,4, Daniel O Claassen2
1Radiology, University of Washington Medical Center, Nashville, TN, USA.
Introduction:
Alzheimer's and Parkinson's disease (AD and PD) are distinct disorders but share similar biomarker profiles. The regions of the default mode network are implicated in these diseases and are associated with amnestic symptoms. The role of apolipoprotein-ε4 (APOE-ε4), which is associated with cognitive function, is unclear in PD.
Methods:
In this work, we evaluated cortical thickness of default mode network regions that are likely affected in both early AD and PD individuals, that is, with amnestic mild cognitive impairment. We identified the prevalence of APOE-ε4 and evaluated its association with cortical atrophy.
Results:
We observed significant parahippocampal atrophy and hippocampal atrophy rates in amnestic mild cognitive impairment subjects, regardless of disease origins (AD or PD). Similarly, mild cognitive impairment ε4 carriers showed significant precuneal atrophy compared with noncarriers.
Discussion:
This work supports that converging changes to default mode network regions, especially the temporal lobe and precuneus, are shared in AD and PD.
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