期刊
NEUROBIOLOGY OF AGING
卷 96, 期 -, 页码 176-183出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.neurobiolaging.2020.09.005
关键词
Diffusion tensor imaging; Mild cognitive impairment; Cerebrovascular disease; Genu of the corpus callosum
资金
- NIH [R01 NS097495, R01 AG056366, U01 AG006786, P50 AG016574, R37 AG011378, R01 AG041851, R01 AG034676]
- Gerald and Henrietta Rauenhorst Foundation
- Alexander Family Alzheimer's Disease Research Professorship of the Mayo Foundation
- Alzheimer's Association (Zenith Fellows Award)
- Liston Award
- Elsie and Marvin Dekelboum Family Foundation
- Schuler Foundation
- Opus building NIH [C06 RR018898]
- NVIDIA Corporation
- Millis Family
Our goal was to evaluate the utility of diffusion tensor imaging (DTI) for predicting future cognitive decline in mild cognitive impairment (MCI) in conjunction with Alzheimer's disease (AD) biomarkers (amyloid positron emission tomography and AD signature neurodegeneration) in 132 MCI individuals >= 60 year old with structural magnetic resonance imaging, DTI, amyloid positron emission tomography, and at least one clinical follow-up. We used mixed-effect models to evaluate the prognostic ability of fractional anisotropy of the genu of the corpus callosum (FA-Genu), as a cerebrovascular disease marker, for predicting cognitive decline along with AD biomarkers. We contrasted the value of white matter hyperintensities, a traditional cerebrovascular disease marker as well as FA in the hippocampal cingulum bundle with the FA-Genu models. FA-Genu significantly predicted cognitive decline even after accounting for AD biomarkers. WMH was not associated with cognitive decline in the model with both WMH and FA-Genu. DTI specifically FA-Genu provides unique complementary information to AD biomarkers and has significant utility for prediction of cognitive decline in MCI. (C) 2020 Elsevier Inc. All rights reserved.
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