scholarly journals Demyelination and remyelination detected in an alternative cuprizone mouse model of multiple sclerosis with 7.0 T multiparameter magnetic resonance imaging

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Shuang Ding ◽  
Yu Guo ◽  
Xiaoya Chen ◽  
Silin Du ◽  
Yongliang Han ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Multiple Sclerosis ◽  
Magnetic Resonance ◽  
Mouse Model ◽  
Diffusion Tensor ◽  
Mean Diffusivity ◽  
Blue Staining ◽  
Resonance Imaging ◽  
The Mean ◽  
Underlying Mechanisms

AbstractThe aim of this study was to investigate the mechanisms underlying demyelination and remyelination with 7.0 T multiparameter magnetic resonance imaging (MRI) in an alternative cuprizone (CPZ) mouse model of multiple sclerosis (MS). Sixty mice were divided into six groups (n = 10, each), and these groups were imaged with 7.0 T multiparameter MRI and treated with an alternative CPZ administration schedule. T2-weighted imaging (T2WI), susceptibility-weighted imaging (SWI), and diffusion tensor imaging (DTI) were used to compare the splenium of the corpus callosum (sCC) among the groups. Prussian blue and Luxol fast blue staining were performed to assess pathology. The correlations of the mean grayscale value (mGSV) of the pathology results and the MRI metrics were analyzed to evaluate the multiparameter MRI results. One-way ANOVA and post hoc comparison showed that the normalized T2WI (T2-nor), fractional anisotropy (FA), mean diffusivity (MD), radial diffusivity (RD), and axial diffusivity (AD) values were significantly different among the six groups, while the mean phase (Φ) value of SWI was not significantly different among the groups. Correlation analysis showed that the correlation between the T2-nor and mGSV was higher than that among the other values. The correlations among the FA, RD, MD, and mGSV remained instructive. In conclusion, ultrahigh-field multiparameter MRI can reflect the pathological changes associated with and the underlying mechanisms of demyelination and remyelination in MS after the successful establishment of an acute CPZ-induced model.

Diffusion tensor magnetic resonance imaging in very early onset pediatric multiple sclerosis

2015 ◽  
Vol 22 (5) ◽  
pp. 620-627 ◽  
Author(s):  
MA Rocca ◽  
M Sonkin ◽  
M Copetti ◽  
E Pagani ◽  
DL Arnold ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Multiple Sclerosis ◽  
Magnetic Resonance ◽  
Structural Integrity ◽  
Linear Models ◽  
Diffusion Tensor ◽  
Mean Diffusivity ◽  
Lesion Volume ◽  
Resonance Imaging ◽  
The Impact

Objectives: Active myelination during childhood may influence the impact of multiple sclerosis (MS) on brain structural integrity. We studied normal-appearing white matter (NAWM) in children with MS onset before age 12 years using diffusion tensor (DT) magnetic resonance imaging (MRI). Methods: DT MRI scans were obtained from 22 MS children with their first attack before age 12 years, and 31 healthy controls from two referral centers. Using probabilistic tractography, brain tissue integrity within interhemispheric, intrahemispheric, and projection tracts was compared between patients and site-matched controls. The impact of disease and age at MRI on tract NAWM fractional anisotropy (FA) and mean diffusivity (MD) values was evaluated using linear models. Results: Compared to controls, pediatric MS patients had reduced FA and increased MD of the bilateral superior longitudinal fasciculus and corpus callosum (CC), without center-by-group interaction. CC NAWM average FA was correlated with brain T2 lesion volume. In controls, the majority of the tracts analyzed showed a significant increase of FA and decrease of MD with age. Such a linear correlation was lost in patients. Conclusions: In very young pediatric MS patients, DT MRI abnormalities affect brain WM tracts differentially, and are only partially correlated with focal WM lesions. Impaired maturation of WM tracts with age may be an additional factor contributing to these findings.

Diffusion tensor imaging abnormalities in depressed multiple sclerosis patients

2009 ◽  
Vol 16 (2) ◽  
pp. 189-196 ◽  
Author(s):  
A. Feinstein ◽  
P. O'Connor ◽  
N. Akbar ◽  
L. Moradzadeh ◽  
CJM Scott ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Multiple Sclerosis ◽  
Diffusion Tensor Imaging ◽  
White Matter ◽  
Magnetic Resonance ◽  
Grey Matter ◽  
Diffusion Tensor ◽  
Mean Diffusivity ◽  
Resonance Imaging ◽  
Normal Appearing White Matter

Depression is common in patients with multiple sclerosis, but to date no studies have explored diffusion tensor imaging indices associated with mood change. This study aimed to determine cerebral correlates of depression in multiple sclerosis patients using diffusion tensor imaging. Sixty-two subjects with multiple sclerosis were assessed for depression with the Beck Depression Inventory (BDI-II). All subjects underwent magnetic resonance imaging. Whole brain and regional volumes were calculated for lesions (hyper/hypointense) and normal-appearing white and grey matter. Fractional anisotropy and mean diffusivity were calculated for each brain region. Magnetic resonance imaging comparisons were undertaken between depressed (Beck Depression Inventory ≥19) and non-depressed subjects. Depressed subjects (n = 30) had a higher hypointense lesion volume in the right medial inferior frontal region, a smaller normal-appearing white matter volume in the left superior frontal region, and lower fractional anisotropy and higher mean diffusivity in the left anterior temporal normal-appearing white matter and normal-appearing grey matter regions, respectively. Depressed subjects also had higher mean diffusivity in right inferior frontal hyperintense lesions. Magnetic resonance imaging variables contributed to 43% of the depression variance. We conclude that the presence of more marked diffusion tensor imaging abnormalities in the normal-appearing white matter and normal-appearing grey matter of depressed subjects highlights the importance of more subtle measures of structural brain change in the pathogenesis of depression.

scholarly journals Relationship between timed 25-foot walk and diffusion tensor imaging in multiple sclerosis

2016 ◽  
Vol 2 ◽  
pp. 205521731665536 ◽  
Author(s):  
Sylvia Klineova ◽  
Rebecca Farber ◽  
Catarina Saiote ◽  
Colleen Farrell ◽  
Bradley N Delman ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Multiple Sclerosis ◽  
Diffusion Tensor Imaging ◽  
Magnetic Resonance ◽  
Diffusion Tensor ◽  
Mean Diffusivity ◽  
Resonance Imaging ◽  
Corticospinal Tracts ◽  
Multiple Sclerosis Patients ◽  
And Diffusion

Objective/Background The majority of multiple sclerosis patients experience impaired walking ability, which impacts quality of life. Timed 25-foot walk is commonly used to gauge gait impairment but results can be broadly variable. Objective biological markers that correlate closely with patients’ disability are needed. Diffusion tensor imaging, quantifying fiber tract integrity, might provide such information. In this project we analyzed relationships between timed 25-foot walk, conventional and diffusion tensor imaging magnetic resonance imaging markers. Design/Methods A cohort of gait impaired multiple sclerosis patients underwent brain and cervical spinal cord magnetic resonance imaging. Diffusion tensor imaging mean diffusivity and fractional anisotropy were measured on the brain corticospinal tracts and spinal restricted field of vision at C2/3. We analyzed relationships between baseline timed 25-foot walk, conventional and diffusion tensor imaging magnetic resonance imaging markers. Results Multivariate linear regression analysis showed a statistically significant association between several magnetic resonance imaging and diffusion tensor imaging metrics and timed 25-foot walk: brain mean diffusivity corticospinal tracts (p = 0.004), brain corticospinal tracts axial and radial diffusivity (P = 0.004 and 0.02), grey matter volume (p = 0.05), white matter volume (p = 0.03) and normalized brain volume (P = 0.01). The linear regression model containing mean diffusivity corticospinal tracts and controlled for gait assistance was the best fit model (p = 0.004). Conclusions Our results suggest an association between diffusion tensor imaging metrics and gait impairment, evidenced by brain mean diffusivity corticospinal tracts and timed 25-foot walk.

In Vivo Magnetic Resonance Imaging of Intravenously Injected Neural Stem Cells in a Mouse Model of Multiple Sclerosis

2006 ◽  
Vol 19 (5) ◽  
pp. 635-636
Author(s):  
L.S. Politi ◽  
S. Pluchino ◽  
M. Bacigaluppi ◽  
E. Brambilla ◽  
M. Cadioli ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Multiple Sclerosis ◽  
Stem Cells ◽  
Magnetic Resonance ◽  
Mouse Model ◽  
Neural Stem Cells ◽  
Resonance Imaging

scholarly journals Thalamus Segmentation from Diffusion Tensor Magnetic Resonance Imaging

2007 ◽  
Vol 2007 ◽  
pp. 1-5 ◽  
Author(s):  
Ye Duan ◽  
Xiaoling Li ◽  
Yongjian Xi
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Diffusion Tensor ◽  
Mean Shift ◽  
Fixed Number ◽  
Resonance Imaging ◽  
Mean Shift Algorithm ◽  
Nuclei Segmentation ◽  
Segmentation Algorithms ◽  
The Mean

We propose a semi-automatic thalamus and thalamus nuclei segmentation algorithm from Diffusion Tensor Magnetic Resonance Imaging (DT-MRI) based on the mean-shift algorithm. Comparing with existing thalamus segmentation algorithms which are mainly based on K-means algorithm, our mean-shift based algorithm is more flexible and adaptive. It does not assume a Gaussian distribution or a fixed number of clusters. Furthermore, the single parameter in the mean-shift based algorithm supports hierarchical clustering naturally.

scholarly journals Characterization of Age-Related Differences in the Human Choroid Plexus Volume, Microstructural Integrity, and Blood Perfusion Using Multiparameter Magnetic Resonance Imaging

2021 ◽  
Vol 13 ◽  
Author(s):  
Joseph S. R. Alisch ◽  
Matthew Kiely ◽  
Curtis Triebswetter ◽  
Maryam H. Alsameen ◽  
Zhaoyuan Gong ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Choroid Plexus ◽  
Diffusion Tensor ◽  
Mean Diffusivity ◽  
Blood Perfusion ◽  
Advanced Age ◽  
Resonance Imaging ◽  
Age Related ◽  
Microstructural Integrity

The choroid plexus (CP) is an important cerebral structure involved in cerebrospinal fluid production and transport of solutes into the brain. Recent studies have uncovered the involvement of the CP in neurological disorders such as Alzheimer’s disease and multiple sclerosis. However, our understanding of human age-related microstructural and functional changes in the CP with aging and neuropathology is limited. In this cross-sectional study, we investigated age and sex differences in the CP structure and function using advanced quantitative magnetic resonance imaging methodology in a large cohort (n = 155) of cognitively unimpaired individuals over a wide age range between 21 and 94 years. Our analysis included volumetric measurements, relaxometry measures (T1 and T2), diffusion tensor imaging (DTI) measures of fractional anisotropy (FA) and mean diffusivity (MD), as well as measures of cerebral blood flow (CBF). Our results revealed that CP volume was increasing with advancing age. We conjecture that this novel observation is likely attributed to alterations in the CP microstructure or function as well as to ventriculomegaly. Indeed, we also found that CBF was lower with advanced age, while, consistent with previous studies, T1, T2 and MD were higher, and FA was lower with advanced age. We attribute these functional and microstructural differences to a deteriorated CP structural integrity with aging. Furthermore, our relaxometry and DTI measures were found to be associated with differences in blood perfusion revealing lower microstructural integrity with lower CBF. Finally, in agreement with literature, sex-related differences in MD and CBF were statistically significant. This work lays the foundation for ongoing investigation of the involvement of CP in neurodegeneration.

scholarly journals Diffusion Tensor Magnetic Resonance Imaging in Patients with Multiple Sclerosis and its Relationship with Disability

2013 ◽  
Vol 26 (1) ◽  
pp. 3-17 ◽  
Author(s):  
Ş. Temel ◽  
H.D. Kekliğkoğlu ◽  
G. Vural ◽  
O. Deniz ◽  
K. Ercan
Keyword(s):  
Magnetic Resonance Imaging ◽  
Multiple Sclerosis ◽  
White Matter ◽  
Magnetic Resonance ◽  
Diffusion Tensor ◽  
Water Diffusion ◽  
Control Group ◽  
Healthy Individuals ◽  
Resonance Imaging ◽  
Significant Difference

Multiple sclerosis is a chronic inflammatory demyelinating disease of the central nervous system. Diffusion tensor magnetic resonance imaging (DTI) can yield important information on the in vivo pathological processes affecting water diffusion. The aim of this study was to quantitatively define water diffusion in normal-appearing white matter (NAWM) distant from the plaque, in the plaque, and around the plaque, and to investigate the correlation of these changes with clinical disability. Conventional MRI and DTI scans were conducted in 30 patients with MS and 15 healthy individuals. Fractional anisotropy maps and visible diffusion coefficients were created and integrated with T2-weighted images. Regions of interest (ROIs) were placed on the plaques on the same side, white matter around the plaques and NAWM on the opposite side. Only the white matter of healthy individuals in the control group, and FA and ADC values were obtained for comparison. The highest FA and lowest ADC were detected in the control group at the periventricular region, cerebellar peduncle and at all ROIs irrespective of location. There was a significant difference in comparison to the control group at all ROIs in patients with MS (p < 0.001 for all comparisons). No significant correlation between diffusion parameters and expanded disability state scale (EDSS) scores was found in patients with MS. DTI may provide more accurate information on the damage due to the illness, compared to T2A sequences, but this damage may not be correlated with the clinical disability measured by EDSS score.

ASSOCIATION ASSESSMENT BETWEEN DIFFUSION TENSOR MAGNETIC RESONANCE IMAGING INDICES AND CLINICAL DISABILITIES IN MS PATIENTS

2016 ◽  
Vol 28 (05) ◽  
pp. 1650034 ◽  
Author(s):  
Vania Karami ◽  
Rasoul Mahdavifar Khayati ◽  
S. Massood Nabavi
Keyword(s):  
Magnetic Resonance Imaging ◽  
Black Holes ◽  
Magnetic Resonance ◽  
Diffusion Tensor ◽  
Mean Diffusivity ◽  
Volume Ratio ◽  
The Other ◽  
Resonance Imaging ◽  
Fluid Attenuated Inversion Recovery ◽  
The Impact

Purpose: Diffusion tensor magnetic resonance imaging (DT-MRI) has the ability to gather information on tissue microstructure by using the indices that quantify the anisotropy of water diffusion in tissues. This study was designed to find out the impact of patient clinical disability on diffusion tensor (DT) indices. Method: In this paper, images were generated from the data acquired at 3T among 25 MS patients (mean age [Formula: see text] years old). DT indices including fractional anisotropy (FA), mean diffusivity (MD), relative anisotropy (RA), and volume ratio (VR) of multiple sclerosis (MS) lesions are calculated and the correlation between Kurtzke expanded disability status scale (EDSS) score and the values of DT indices of 25 MS patients lesions are obtained. The correlation comparison procedure is done between the EDSS scores and DT indices in MS lesions attained, respectively, from fluid attenuated inversion recovery (FLAIR) images and black holes of T1-weighted (T1-w) images. Results: EDSS scores and DT indices of MS lesions extracted from the black holes present in T1-w images are more correlated in comparison with those extracted from FLAIR images. It is found that MD has a significant correlation with EDSS in both types of images. The results of FLAIR image processing indicates that any increase in EDSS leads to decreasing FA and RA on one hand and increasing MD and VR on the other hand. The correlation between the identical size of lesions in different parts of brain with EDSS shows that the location of lesion in brain also has a correlation with EDSS. Conclusion: The results showed, MD is the best biomarker of clinical disability between these four DT indices. It is also concluded that the correlation between DT indices of frontal brain lesions and EDSS is higher than the other selected brain parts.

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