1. Free-water metrics in medial temporal lobe white matter tract projections relate to longitudinal cognitive decline
- Author
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Timothy J. Hohman, Niranjana Shashikumar, Angela L. Jefferson, Kimberly R. Pechman, Elizabeth E. Moore, Bennett A. Landman, Logan Dumitrescu, Derek B. Archer, and Katherine A. Gifford
- Subjects
Male ,0301 basic medicine ,Aging ,medicine.medical_specialty ,Uncinate fasciculus ,Audiology ,Gyrus Cinguli ,Hippocampus ,Article ,030218 nuclear medicine & medical imaging ,Temporal lobe ,Cohort Studies ,White matter ,Executive Function ,03 medical and health sciences ,Cognition ,0302 clinical medicine ,Memory ,Fractional anisotropy ,Humans ,Cingulum (brain) ,Medicine ,Cognitive Dysfunction ,Longitudinal Studies ,Inferior longitudinal fasciculus ,Cognitive decline ,Aged ,Aged, 80 and over ,business.industry ,General Neuroscience ,Fornix ,Organ Size ,Anatomy ,Magnetic Resonance Imaging ,White Matter ,Temporal Lobe ,030104 developmental biology ,medicine.anatomical_structure ,Subthalamus ,Anisotropy ,Female ,Neurology (clinical) ,Geriatrics and Gerontology ,business ,030217 neurology & neurosurgery ,Developmental Biology ,Diffusion MRI - Abstract
ObjectiveHippocampal volume is a sensitive marker of neurodegeneration and a well-established predictor of age-related cognitive impairment. Recently, free-water (FW) magnetic resonance imaging (MRI) has shown associations with pathology in Alzheimer’s disease (AD), but it is still unclear whether these metrics are associated with measures of cognitive impairment. Here, we investigate whether FW and FW-corrected fractional anisotropy (FAT) within medial temporal lobe white matter tracts (cingulum, fornix, uncinate fasciculus, inferior longitudinal fasciculus, and tapetum) provides meaningful contribution to cognition and cognitive decline beyond hippocampal volume.Participants and MethodsVanderbilt Memory & Aging Project participants (n=319, 73±7 years, 59% male) with normal cognition and mild cognitive impairment (40% of cohort) underwent baseline brain MRI, including structural MRI to quantify hippocampal volume, diffusion MRI to quantify medial temporal lobe white matter tract FW and FAT, and longitudinal neuropsychological assessment with a mean follow-up of 3.5 years. Linear regressions were conducted to determine how hippocampal volume and white matter tract FW and FAT interact with baseline memory and executive function performances. Competitive model analyses determined the unique variance provided by white matter tract FW and FAT beyond that of hippocampal volume and other comorbidities. Linear mixed-effects models were conducted to determine how baseline hippocampal volume and white matter tract FW and FAT interact to explain longitudinal change in memory and executive function performances.ResultsFW in the inferior longitudinal fasciculus, tapetum, uncinate fasciculus, and cingulum were robustly associated with baseline memory and executive function. Further, competitive model analysis showed that tract FW contributed unique variance beyond other comorbidities and hippocampal volume for memory (ΔRadj2 range: 0.82-2.00%) and executive function (ΔRadj2 range: 0.88-1.87%). Longitudinal analyses demonstrated significant interactions of hippocampal volume and FAT in the inferior longitudinal fasciculus (p=0.02), tapetum (p=0.02), uncinate fasciculus (p=0.02), and cingulum (p=0.002) with decline in memory. For decline in executive function, we found significant interactions of hippocampal volume and FAT in inferior longitudinal fasciculus (p=0.03), tapetum (p=0.02), uncinate fasciculus (p=0.02), and fornix (p=0.02), as well as cingulum (p=0.02) and fornix (p=0.02) FW.ConclusionsOur results highlight novel associations between FW and FAT measures of medial temporal lobe tract microstructure and cognitive performance such that individuals with smaller hippocampal volumes and lower tract microstructure experience greater cognitive decline. These results suggest that white matter has a unique role in cognitive decline and, therefore, could be used to provide better disease staging, allowing for more precise disease monitoring in AD.
- Published
- 2020
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