AI Article Synopsis
- Diffusion MRI (dMRI) can effectively analyze the microstructure of brain tissue and may help in non-invasively mapping Alzheimer's disease (AD) pathology.
- A study involving 66 individuals found that lower CSF Aβ and higher pTau levels correlated with dMRI measures indicating less restricted diffusion, suggesting dMRI may be better at detecting early AD changes than traditional methods.
- The findings indicate that dMRI markers are more associated with Aβ levels, while cortical thickness is more closely linked with pTau, highlighting dMRI's potential in understanding cognitive decline related to AD.
Article Abstract
Diffusion MRI (dMRI) can be used to probe microstructural properties of brain tissue and holds great promise as a means to non-invasively map Alzheimer's disease (AD) pathology. Few studies have evaluated multi-shell dMRI models, such as neurite orientation dispersion and density imaging (NODDI) and mean apparent propagator (MAP)-MRI, in cortical gray matter where many of the earliest histopathological changes occur in AD. Here, we investigated the relationship between CSF pTau and Aβ burden and regional cortical NODDI and MAP-MRI indices in 46 cognitively unimpaired individuals, 18 with mild cognitive impairment, and two with dementia (mean age: 71.8±6.2 years) from the Alzheimer's Disease Neuroimaging Initiative. We compared findings to more conventional cortical thickness measures. Lower CSF Aβ and higher pTau were associated with cortical dMRI measures reflecting less hindered or restricted diffusion and greater diffusivity. Cortical dMRI measures were more widely associated with Aβ than pTau and better distinguished Aβ+ from Aβ- participants than pTau+/- participants. Conversely, cortical thickness was more tightly linked with pTau. dMRI associations mediated the relationship between CSF markers and delayed logical memory performance, commonly impaired in early AD. dMRI measures sensitive to early AD pathogenesis and microstructural damage may elucidate mechanisms underlying cognitive decline.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10120803 | PMC |
| http://dx.doi.org/10.1101/2023.04.10.23288366 | DOI Listing |
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