Comparison of brain microstructure alterations on diffusion kurtosis imaging among Alzheimer’s disease, mild cognitive impairment, and cognitively normal individuals
Objective: Our study aimed to explore the differences in brain microstructure in patients with Alzheimer’s disease (AD) and with mild cognitive impairment (MCI), as well as in individuals with normal cognition using diffusion kurtosis imaging (DKI) to identify a potential non-invasive biomarker of A...
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Published in | Frontiers in Aging Neuroscience Vol. 14; p. 919143 |
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Main Authors | , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Lausanne
Frontiers Media SA
12.08.2022
Frontiers Research Foundation Frontiers Media S.A |
Subjects | |
Online Access | Get full text |
ISSN | 1663-4365 1663-4365 |
DOI | 10.3389/fnagi.2022.919143 |
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Summary: | Objective: Our study aimed to explore the differences in brain microstructure in patients with Alzheimer’s disease (AD) and with mild cognitive impairment (MCI), as well as in individuals with normal cognition using diffusion kurtosis imaging (DKI) to identify a potential non-invasive biomarker of AD. Methods: A total of 61 subjects were included in our study, including 20 subjects diagnosed with AD, 21 patients diagnosed with amnestic MCI, and 20 cognitively normal individuals. We acquired magnetic resonance imaging (MRI) scans, and DKI images were processed. 12 regions of interest were drawn, and various parameters were measured and analyzed using SPSS version 11.0 software. Results: Comparative analysis showed that differences in brain regions in terms of mean diffusion (MD) and mean kurtosis (MK) between groups were the most marked. Precuneus MD, temporal MK, precuneus MK, and hippocampal MK were significantly correlated with neuropsychological test scores. Hippocampal MK showed the strongest correlation with the medial temporal lobe atrophy score (r = −0.510), and precuneus MD had the strongest correlation with the Koedam score (r = 0.463). The receiver operating curve analysis revealed that hippocampal MK exhibited better diagnostic efficacy than precuneus MD for comparisons between any group pair. Conclusion: DKI is capable of detecting differences in brain microstructure between patients with AD, patients with MCI, and cognitively normal individuals. Moreover, it compensates for the deficiencies of conventional MRI in detecting pathological changes in microstructure before the appearance of macroscopic atrophy. Hippocampus MK was the most sensitive single parameter map for differentiating AD patients, MCI patients, and cognitively normal individuals. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 This article was submitted to Alzheimer’s Disease and Related Dementias, a section of the journal Frontiers in Aging Neuroscience Reviewed by: Yuya Saito, Juntendo University Graduate School of Medicine, Japan; Feng Chen, Hainan General Hospital, China; Christina Andica, Juntendo University, Japan These authors have contributed equally to this work Edited by: Koji Kamagata, Juntendo University, Japan |
ISSN: | 1663-4365 1663-4365 |
DOI: | 10.3389/fnagi.2022.919143 |