| Autor: |
Alice Motovylyak, Nicholas M. Vogt, Nagesh Adluru, Yue Ma, Rui Wang, Jennifer M. Oh, Steven R. Kecskemeti, Andrew L. Alexander, Douglas C. Dean, Catherine L. Gallagher, Mark A. Sager, Bruce P. Hermann, Howard A. Rowley, Sterling C. Johnson, Sanjay Asthana, Barbara B. Bendlin, Ozioma C. Okonkwo |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
|
| Zdroj: |
Aging Brain, Vol 2, Iss , Pp 100030- (2022) |
| Druh dokumentu: |
article |
| ISSN: |
2589-9589 |
| DOI: |
10.1016/j.nbas.2022.100030 |
| Popis: |
Neurite orientation dispersion and density imaging (NODDI) is an advanced diffusion imaging technique, which can detect more distinct microstructural features compared to conventional Diffusion Tensor Imaging (DTI). NODDI allows the signal to be divided into multiple water compartments and derive measures for orientation dispersion index (ODI), neurite density index (NDI) and volume fraction of isotropic diffusion compartment (FISO). This study aimed to investigate which diffusion metric—fractional anisotropy (FA), mean diffusivity (MD), NDI, ODI, or FISO—is most influenced by aging and reflects cognitive function in a population of healthy older adults at risk for Alzheimer’s disease (AD). Age was significantly associated with all but one diffusion parameters and regions of interest. NDI and MD in the cingulate region adjacent to the cingulate cortex showed a significant association with a composite measure of Executive Function and was proven to partially mediate the relationship between aging and Executive Function decline. These results suggest that both DTI and NODDI parameters are sensitive to age-related differences in white matter regions vulnerable to aging, particularly among older adults at risk for AD. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
|
