In vivo microstructural heterogeneity of white matter lesions in healthy elderly and Alzheimer's disease participants using tissue compositional analysis of diffusion MRI data

Mito, Remika; Dhollander, Thijs; Xia, Ying; Raffelt, David; Salvado, Olivier; Чурилов, Леонид; Rowe, Christopher C.; Brodtmann, Amy; Villemagne, Victor L.; Connelly, Alan

doi:10.1016/j.nicl.2020.102479

Cited by 21 publications

(39 citation statements)

References 83 publications

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“…Our findings were consistent with previous literature, as changes in conventional DTI-based metrics can be influenced by several pathological events, not just decreased density, such as axonal injury, gliosis, edema, or increased membrane permeability (Mac Donald et al, 2007a;Budde et al, 2011;Bennett et al, 2012;Salo et al, 2017). Future studies may benefit by the incorporation of signal fractions representative of tissue-specific microstructure (Khan et al, 2020;Mito et al, 2020). It is worth mentioning that advanced methodologies come at the cost of more complex data processing; however, these methods can provide more specific information on tissue microstructure and pathological alterations in the context of brain diseases, disorders, and injuries, and specially with a more comprehensive histological validation.…”

Section: Discussionsupporting

confidence: 91%

Microstructural Tissue Changes in a Rat Model of Mild Traumatic Brain Injury

et al. 2021

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Our study investigates the potential of diffusion MRI (dMRI), including diffusion tensor imaging (DTI), fixel-based analysis (FBA) and neurite orientation dispersion and density imaging (NODDI), to detect microstructural tissue abnormalities in rats after mild traumatic brain injury (mTBI). The brains of sham-operated and mTBI rats 35 days after lateral fluid percussion injury were imaged ex vivo in a 11.7-T scanner. Voxel-based analyses of DTI-, fixel- and NODDI-based metrics detected extensive tissue changes in directly affected brain areas close to the primary injury, and more importantly, also in distal areas connected to primary injury and indirectly affected by the secondary injury mechanisms. Histology revealed ongoing axonal abnormalities and inflammation, 35 days after the injury, in the brain areas highlighted in the group analyses. Fractional anisotropy (FA), fiber density (FD) and fiber density and fiber bundle cross-section (FDC) showed similar pattern of significant areas throughout the brain; however, FA showed more significant voxels in gray matter areas, while FD and FDC in white matter areas, and orientation dispersion index (ODI) in areas most damage based on histology. Region-of-interest (ROI)-based analyses on dMRI maps and histology in selected brain regions revealed that the changes in MRI parameters could be attributed to both alterations in myelinated fiber bundles and increased cellularity. This study demonstrates that the combination of dMRI methods can provide a more complete insight into the microstructural alterations in white and gray matter after mTBI, which may aid diagnosis and prognosis following a mild brain injury.

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Section: Discussionsupporting

confidence: 91%

Microstructural Tissue Changes in a Rat Model of Mild Traumatic Brain Injury

et al. 2021

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“…This allows for multicompartment modelling of the signal from individual voxels. In this work, we used a model with three compartments, the first characterised by high isotropic diffusion, and conventionally labelled “CSF-like”, the second by restricted isotropic diffusion (“GM-like”) based on its distribution within brain images [ 29 ]. The third component, with anisotropic diffusion, is labelled, for the same reason, “WM-like”.…”

Section: Discussionmentioning

confidence: 99%

“…It should be borne in mind, however, that the assignment is always based on diffusion characteristics. As stated by Mito [ 29 ], an increase in nGM fraction should not be thought of as an increase in actual grey matter, but a shift towards tissue with similar characteristics. Consequently, axonal tissue will be labelled as “GM-like” if it exhibits restricted diffusion with low anisotropy.…”

Section: Discussionmentioning

confidence: 99%

Multishell Diffusion MR Tractography Yields Morphological and Microstructural Information of the Anterior Optic Pathway: A Proof-of-Concept Study in Patients with Leber’s Hereditary Optic Neuropathy

Manners

Gramegna

Morgia

et al. 2022

IJERPH

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Tractography based on multishell diffusion-weighted magnetic resonance imaging (DWI) can be used to estimate the course of myelinated white matter tracts and nerves, yielding valuable information regarding normal anatomy and variability. DWI is sensitive to the local tissue microstructure, so tractography can be used to estimate tissue properties within nerve tracts at a resolution of millimeters. This study aimed to test the applicability of the method using a disease with a well-established pattern of myelinated nerve involvement. Eight patients with LHON and 13 age-matched healthy controls underwent tractography of the anterior optic pathway. Diffusion parameters were compared between groups, and for the patient group correlated with clinical/ophthalmological parameters. Tractography established the course of the anterior optic pathway in both patients and controls. Localized changes in fractional anisotropy were observed, and related to estimates of different tissue compartments within the nerve and tract. The proportion of different compartments correlated with markers of disease severity. The method described allows both anatomical localization and tissue characterization in vivo, permitting both visualization of variation at the individual level and statistical inference at the group level. It provides a valuable adjunct to ex vivo anatomical and histological study of normal variation and disease processes.

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“…At present, MRI still faces great economic and time costs and is influenced by environmental factors. A study [ 16 ] suggests that convolutional neural network combined with MRI technology can accelerate the routine application of MRI in early AD diagnosis. Hence, we will further discuss the clinical application cost of MRI in combination with other diagnostic modalities in the future.…”

Section: Discussionmentioning

confidence: 99%

Influence of MRI on Diagnostic Efficacy and Satisfaction of Patients with Alzheimer’s Disease

Dong

Yang

Song

et al. 2021

Computational and Mathematical Methods in Medicine

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Objective. To inquire into the influence of magnetic resonance imaging (MRI) on the diagnostic efficacy and satisfaction of patients with Alzheimer’s disease (AD). Methods. This study included 42 healthy people (control group) and 66 patients with AD (AD group). The hippocampus volume, temporal sulcus spacing, left-right brain diameter, brain lobe volume, hippocampal height, temporal horn width, lateral fissure width, and degree of leukoaraiosis were all measured using an MRI scan. After diagnosis, the satisfaction of patients in both arms was investigated and the satisfaction degree was recorded. Results. Compared with the control group, the left and right hippocampal volumes and hippocampal height of AD patients were smaller, while the temporal sulcus spacing, temporal horn width, lateral fissure width, and left-right brain diameter were remarkably higher. A statistical difference was present in the degree of leukoaraiosis between the two arms. The frontal and temporal lobe volumes of AD patients were notably lower while the volumes of parietal and occipital lobes were similar, versus the control group. The total satisfaction was 83.33% in the control group and 86.36% in the AD group, with no statistical difference between the two arms. Conclusions. MRI can effectively mine the brain information of AD patients with a high patient satisfaction, which has potential value in clinical application.

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In vivo microstructural heterogeneity of white matter lesions in healthy elderly and Alzheimer's disease participants using tissue compositional analysis of diffusion MRI data

Cited by 21 publications

References 83 publications

Microstructural Tissue Changes in a Rat Model of Mild Traumatic Brain Injury

Microstructural Tissue Changes in a Rat Model of Mild Traumatic Brain Injury

Multishell Diffusion MR Tractography Yields Morphological and Microstructural Information of the Anterior Optic Pathway: A Proof-of-Concept Study in Patients with Leber’s Hereditary Optic Neuropathy

Influence of MRI on Diagnostic Efficacy and Satisfaction of Patients with Alzheimer’s Disease

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