Distinct fiber-specific white matter reductions pattern in early- and late-onset Alzheimer’s disease

Luo, Xiao; Wang, Shuyue; Jiaerken, Yeerfan; Li, Kaicheng; Zeng, Qingze; Zhang, Ruiting; Wang, Chao; Xu, Xiaopei; Wu, Dan; Huang, Peiyu; Zhang, Minming; Initiative, Alzheimer’s Disease Neuroimaging

doi:10.18632/aging.202702

Cited by 9 publications

(12 citation statements)

References 50 publications

(73 reference statements)

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“…Moving beyond voxelbased methods, WM fiber orientation distributions (FODs) can be generated from constrained spherical deconvolution methods, which then enables quantification of fiber-specific metrics and improved specificity in regions with crossing fiber tracts. Reduced fiber density has been observed in both MCI (Mito et al, 2018) and AD (Luo et al, 2021) using fixel-based analysis. The COMMIT2 framework augments probabilistic FOD-based tractography using anatomically and microstructure-informed filtering; this robust analysis framework has been demonstrated to dramatically improve the specificity of the estimated brain networks without affecting their sensitivity (Schiavi et al, 2020b).…”

Section: Discussionmentioning

confidence: 97%

Analysis of Brain Structural Connectivity Networks and White Matter Integrity in Patients With Mild Cognitive Impairment

Bergamino

Schiavi

Daducci

et al. 2022

Front. Aging Neurosci.

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White matter integrity and structural connectivity may be altered in mild cognitive impairment (MCI), and these changes may closely reflect decline in specific cognitive domains. Multi-shell diffusion data in healthy control (HC, n = 31) and mild cognitive impairment (MCI, n = 19) cohorts were downloaded from the ADNI3 database. The data were analyzed using an advanced approach to assess both white matter microstructural integrity and structural connectivity. Compared with HC, lower intracellular compartment (IC) and higher isotropic (ISO) values were found in MCI. Additionally, significant correlations were found between IC and Montreal Cognitive Assessment (MoCA) scores in the MCI cohort. Network analysis detected structural connectivity differences between the two groups, with lower connectivity in MCI. Additionally, significant differences between HC and MCI were observed for global network efficiency. Our results demonstrate the potential of advanced diffusion MRI biomarkers for understanding brain changes in MCI.

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Section: Discussionmentioning

confidence: 97%

Analysis of Brain Structural Connectivity Networks and White Matter Integrity in Patients With Mild Cognitive Impairment

Bergamino

Schiavi

Daducci

et al. 2022

Front. Aging Neurosci.

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“…This extracellular signal captured at lower b -values weakens the interpretability of FD specifically by providing superfluous information can be erroneously included in FD calculations ( Dhollander et al, 2021 ). Despite this, crossing fibres can still be resolved at the b = 1000 s/mm 2 level ( Tournier et al, 2007 , Tournier et al, 2008 ), and studies have successfully used values in the range of b = 1000 s/mm 2 for FBA ( Bishop et al, 2018 , Sang et al, 2022 ), especially with the aid of multi-tissue CSD techniques ( Choy et al, 2020 , Grazioplene et al, 2018 , Luo et al, 2021 , Verhelst et al, 2019 ). Multi-tissue CSD is particularly valuable for mitigating the problems introduced by extracellular signal – because it can be categorized with the CSF- and GM-like data rather than the WM – and has been shown to have good test–retest reliability ( Newman et al, 2020 ).…”

Section: Discussionmentioning

confidence: 99%

White matter microstructure predicts measures of clinical symptoms in chronic back pain patients

Robertson

Aristi

Hashmi

2023

NeuroImage: Clinical

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“…In neurodegenerative diseases, such as AD, DTI has been especially useful in assessing gray and white matter brain pathology, as recently reviewed [ 44 ]. Luo and colleagues reported reduced DTI-derived fiber density in limbic tracts, corpus callosum and others in LOAD patients from two large separate databases [ 45 ]. These decrements in white matter were associated with amyloid PET imaging of the fornix.…”

Section: Human Imaging Of Alzheimer’s Disease: Brief Overviewmentioning

confidence: 99%

Neuroimaging of Mouse Models of Alzheimer’s Disease

2022

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Magnetic resonance imaging (MRI) and positron emission tomography (PET) have made great strides in the diagnosis and our understanding of Alzheimer’s Disease (AD). Despite the knowledge gained from human studies, mouse models have and continue to play an important role in deciphering the cellular and molecular evolution of AD. MRI and PET are now being increasingly used to investigate neuroimaging features in mouse models and provide the basis for rapid translation to the clinical setting. Here, we provide an overview of the human MRI and PET imaging landscape as a prelude to an in-depth review of preclinical imaging in mice. A broad range of mouse models recapitulate certain aspects of the human AD, but no single model simulates the human disease spectrum. We focused on the two of the most popular mouse models, the 3xTg-AD and the 5xFAD models, and we summarized all known published MRI and PET imaging data, including contrasting findings. The goal of this review is to provide the reader with broad framework to guide future studies in existing and future mouse models of AD. We also highlight aspects of MRI and PET imaging that could be improved to increase rigor and reproducibility in future imaging studies.

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Distinct fiber-specific white matter reductions pattern in early- and late-onset Alzheimer’s disease

Cited by 9 publications

References 50 publications

Analysis of Brain Structural Connectivity Networks and White Matter Integrity in Patients With Mild Cognitive Impairment

Analysis of Brain Structural Connectivity Networks and White Matter Integrity in Patients With Mild Cognitive Impairment

White matter microstructure predicts measures of clinical symptoms in chronic back pain patients

Neuroimaging of Mouse Models of Alzheimer’s Disease

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