Background: Diffusion tensor imaging has traditionally been used to assess white matter (WM) integrity in Alzheimer's disease (AD). However, the tensor model is limited in modeling complex WM structure. Neurite Orientation Dispersion and Density Imaging (NODDI), a cutting-edge technique applied to multishell diffusion MRI, can offer more precise insights into microstructural features of WM integrity. We assessed whether NODDI more sensitively detects AD-related changes in medial temporal lobe (MTL) WM than traditional tensor metrics.
Method: 199 older adults with multishell diffusion MRI from ADNI3 (mean age = 75; 60% female; cognitively unimpaired, n=121; cognitively impaired MCI/dementia, n=78) were analyzed. Tensor metrics of fractional anisotropy (FA) and mean diffusivity (MD), as well as NODDI metrics of Neurite Density Index (NDI) and orientation dispersion Index (ODI), were calculated for MTL WM tracts (JHU Atlas: hippocampal cingulum, fornix column/body, fornix/stria terminalis, and uncinate; Figure 1). A subset of participants received 18F-florbetapir or 18F-florbetaben to measure Aß (n = 146; converted to Centiloids), 18F-flortaucipir to measure tau (n=135), and neuropsychological testing including the Clinical Dementia Rating Sum of Boxes (CDR-SB) and memory composite score (ADNI-MEM).
Result: NODDI measures in MTL tracts were more strongly correlated with cognitive performance and AD pathology than standard tensor measures (Figure 2). For example, entorhinal tau was strongly associated with NDI in the cingulum hippocampus (r=-0.375; p<0.001) and the uncinate (r=-0.373; p<0.001), and with ODI in the fornix ST (r =-0.288; p=0.004). Both ODI and NDI across the majority of tracts were associated with CDR-SB and ADNI-MEM (see Figure 2). In contrast, FA in any MTL tract was not significantly correlated with either tau or global amyloid-beta, while MD in MTL tracts showed limited correlations with pathology or cognition.
Conclusion: NODDI metrics offer additional insights about MTL WM integrity in AD that were previously missed due to the limitations of DTI analyses. These results highlight the sensitivity of NODDI applied to multishell diffusion MRI acquisitions to further investigate how WM degeneration contributes to cognitive decline.
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http://dx.doi.org/10.1002/alz.093986 | DOI Listing |
Alzheimers Dement
December 2024
Laboratory of Clinical Investigation, National Institute on Aging, Intramural Research Program, Baltimore, MD, USA.
Background: Neurite degeneration is increasingly suspected to represent a causal feature of mild cognitive impairment (MCI) and Alzheimer's disease (AD). Therefore, sensitive and specific imaging biomarkers of neuronal degeneration are needed to elucidate the mechanisms underlying cognitive impairment in MCI and AD. However, the recently developed Neurite Orientation Dispersion and Density Imaging (NODDI) MRI technique, used to measure the neurite density index (NDI), has some limitations.
View Article and Find Full Text PDFBackground: Alzheimer's disease (AD) has been mainly thought of as a disease involving gray matter changes. However, despite known correlations between white matter integrity and cognition, less is known about how disruptions to white matter during the development of AD underpin cognitive impairment. This study tests the associations between disruptions to white matter along the AD clinical continuum (cognitive unimpaired (CU): cognitive impaired (CI) - Mild Cognitive Impairment (MCI) and AD) and cognition using diffusion tensor imaging (DTI) and multi-tissue neurite and orientation dispersion and density imaging (mtNODDI) models of the multi-shell connectome diffusion MRI (ms-dMRI) data from the Alzheimer's Disease Connectome Project (ADCP).
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Dementia Research Centre, UCL Queen Square Institute of Neurology, London, UK.
Background: With an aging population, it is essential to identify subtle features of brain pathology - both neurodegenerative and vascular - at an early stage, which may predict risk of future decline. We used diffusion MRI (dMRI) to assess grey matter cortical microstructure and investigate associations with 1) Alzheimer's disease (AD) pathology and 2) mid/late-life vascular risk (as measured by blood pressure (BP)).
Method: 151 asymptomatic individuals from the British 1946 birth cohort underwent combined PET/MR with [18F]florbetapir Aβ-PET at ∼73yrs, and [18F]MK-6240 tau-PET at ∼76yrs.
Alzheimers Dement
December 2024
Douglas Mental Health University Institute, Montreal, QC, Canada.
White matter hyperintensities (WMHs) are frequently observed in ageing individuals, and have a higher prevalence in neurodegenerative disorders such as Alzheimer's disease. Ex-vivo assessments of the microstructural alterations within WMHs have reported heterogeneous tissue alterations, with demyelination, axonal loss, and inflammation presenting with various degrees of severity. There is a crucial need to better assess the severity of WMH microstructural alterations in vivo, in particular with the emergence of anti-amyloid immunotherapies and the associated risk of Amyloid Related Imaging Abnormalities (ARIAs) in individuals with comorbid vascular disease.
View Article and Find Full Text PDFBackground: A growing body of evidence demonstrates the relationship between cardiovascular risk and the risk of dementia development. Researchers have identified several genetic links between cardiovascular diseases and Alzheimer's disease, including the apolipoprotein E and methylenetetrahydrofolate reductase (MTHFR) genes. Here we evaluated the impact of cardiovascular polygenic risk on pathological brain changes associated with Alzheimer's disease, to elucidate the potential mechanism by which cardiovascular risk induces brain damage.
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