Orthogonal moment diffusion tensor decomposition reveals age-related degeneration patterns in complex fiber architecture

Chad, Jordan A.; Pasternak, Ofer; Chen, Jean

doi:10.1016/j.neurobiolaging.2020.12.020

Cited by 16 publications

(32 citation statements)

References 34 publications

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“…In accordance with previous reports by ourselves and others (68,69,74,89), we found robust ageassociations in all DTI metrics (Supplementary Materials). Furthermore, we found that while controlling for age greatly reduced all associations with white-matter microstructural integrity, suggesting that body fat, like SBP, increasingly influences brain health as adults age.…”

Section: The Role Of Agesupporting

confidence: 93%

“…The results are reported in Fig. A1-2 in Supplementary Materials, respectively, and the age associations in particular are similar to those reported previously using a similar UK Biobank dataset (68,69). As shown in Fig.…”

Section: Associations Between Body Fat and Dti Parameterssupporting

confidence: 88%

“…Conversely, AFR is associated with white-matter integrity primarily through AD decrease, and in the posterior-inferior white matter and this effect even survives covarying for age. This posterior-inferior region is known to exhibit AD associations with age opposite those of the anterior-superior white matter (68, 69, 87). This negative AD-AFR association can be attributed to increasing axonal debris accumulation with increasing degree of obesity, and is likely an early indicator of fibre degeneration, especially as there is an absence of mirroring effects in MD.…”

Section: Discussionmentioning

confidence: 99%

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Is adiposity associated with white-matter microstructural health and intelligence differently in men and women?

Patel

Chad

Chen

2022

Preprint

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The role of vascular risk factors in age-related brain degeneration has long been the subject of intense study. As its own sub-category of vascular risk, obesity has an increasingly recognized role in influencing brain health and health-care strategies, but its association with brain health remains under-studied. Notably, no prior study has addressed sex differences in the association between metrics of obesity and white-matter microstructural integrity, an important early marker of brain degeneration, despite known sex differences in fat storage and usage. This study focuses on the associations between markers of body fat (abdominal fat ratio: AFR, and liver proton density fat fraction: PDFF) and brain microstructural health (measures of white-matter microstructure using diffusion-tensor imaging, DTI). We found that fluid intelligence and reaction time are indeed associated with body fat differently in men and women. We also found significant differences in the associations of AFR with DTI metrics between sexes. These sex differences are mirrored in the associations of SBP and age with DTI metrics. Moreover, these sex differences in the AFR and SBP associations with DTI metrics persist when controlling for age. Taken together, these findings suggest that there are inherent sex-driven differences in how brain health is associated with vascular risk factors such as obesity.

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Section: The Role Of Agesupporting

confidence: 93%

Section: Associations Between Body Fat and Dti Parameterssupporting

confidence: 88%

Section: Discussionmentioning

confidence: 99%

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Is adiposity associated with white-matter microstructural health and intelligence differently in men and women?

Patel

Chad

Chen

2022

Preprint

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“…A higher FA is typically indicative of stronger microstructural integrity. In parts of the corona radiata, however, we have shown previously using both free-water imaging (Chad et al, 2018), tractography (Chad et al, 2021) and orthogonaltensor decomposition (Chad et al, 2021) that conventional FA can become misleadingly elevated in older age due to selective degeneration of the secondary fibre population relative to the primary fibre.…”

Section: Conventional Dti Vs Kurtosis-corrected Dtimentioning

confidence: 92%

“…The final group of participants consisted of a total of 700 healthy adults (50% male, 50% female) aged 46-80 years. This dataset has previously been reported on using the conventional DTI model (Chad et al, 2021).…”

Section: Theorymentioning

confidence: 99%

White matter microstructural integrity across the adult lifespan: Combined perspective of diffusion tensor and kurtosis imaging

Taha

Chad

Chen

2021

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Studies of healthy brain aging have reported diffusivity patterns associated with white matter degeneration using diffusion tensor imaging (DTI), which assumes that diffusion measured at the typical b-value (approximately 1000 s/mm2) is Gaussian. Diffusion kurtosis imaging (DKI) is an extension of DTI that measures non-Gaussian diffusion (kurtosis) to better capture microenvironmental changes by incorporating additional data at a higher b-value. In this study, using UK Biobank data (b values of 1000 and 2000 s/mm2), we investigate (1) the extent of novel information gained from adding diffusional kurtosis to diffusivity observations in aging, and (2) how conventional DTI metrics in aging compare with diffusivity metrics derived from DKI, which are corrected for kurtosis. We find a general pattern of lower kurtosis alongside higher diffusivity among older adults. We also find differences between diffusivity metrics derived from DTI and DKI, emphasizing the importance of accounting for non-Gaussian diffusion. This work highlights the utility of measuring diffusional kurtosis as a simple addition to conventional diffusion imaging of aging.

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High‐frequency longitudinal white matter diffusion‐ and myelin‐based MRI database: Reliability and variability

Edde

Theaud²,

Dumont³

et al. 2023

Human Brain Mapping

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Assessing the consistency of quantitative MRI measurements is critical for inclusion in longitudinal studies and clinical trials. Intraclass coefficient correlation and coefficient of variation were used to evaluate the different consistency aspects of diffusion‐ and myelin‐based MRI measures. Multi‐shell diffusion and inhomogeneous magnetization transfer data sets were collected from 20 healthy adults at a high‐frequency of five MRI sessions. The consistency was evaluated across whole bundles and the track‐profile along the bundles. The impact of the fiber populations on the consistency was also evaluated using the number of fiber orientations map. For whole and profile bundles, moderate to high reliability of diffusion and myelin measures were observed. We report higher reliability of measures for multiple fiber populations than single. The overall portrait of the most consistent measurements and bundles drawn from a wide range of MRI techniques presented here will be particularly useful for identifying reliable biomarkers capable of detecting, monitoring and predicting white matter changes in clinical applications and has the potential to inform patient‐specific treatment strategies.

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Orthogonal moment diffusion tensor decomposition reveals age-related degeneration patterns in complex fiber architecture

Cited by 16 publications

References 34 publications

Is adiposity associated with white-matter microstructural health and intelligence differently in men and women?

Is adiposity associated with white-matter microstructural health and intelligence differently in men and women?

White matter microstructural integrity across the adult lifespan: Combined perspective of diffusion tensor and kurtosis imaging

High‐frequency longitudinal white matter diffusion‐ and myelin‐based MRI database: Reliability and variability

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