White matter dementia then… and now

Evaluation of microstructural changes in the brain in transfusion dependent thalassemia patients with advanced magnetic resonance imaging techniques

PURPOSE

Transfusion-dependent thalassemia (TDT) is associated with iron accumulation in the body and an increased tendency for thrombosis. With the increased life expectancy in these patients, the detection of neurocognitive complications has gained importance. This study investigates the microstructural changes in TDT patients using advanced diffusion MRI techniques and their relationship with laboratory parameters.

METHODS

The study included 14 TDT patients and 14 control subjects. Tract-based spatial statistics (TBSS) were used to examine differences in DTI parameters such as fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity (RD) in thalassemia patients using multi-shell DWI images. The mean kurtosis (MK) difference was investigated using diffusion kurtosis imaging. Fiber density (FD), fiber cross-section (FC), and fiber density and cross-section (FDC) differences were examined using fixel-based analysis. In the patient group, correlative tractography was used to investigate the relationship between DTI parameters and platelet (PLT) and ferritin levels.

RESULTS

Increase in RD and MD was observed, particularly in the white matter tracts of the corona radiata in patient group. Additionally, an increase in AD was detected in a limited area. Correlative tractography in thalasemia patients showed a positive correlation between increases in RD, MD, and AD with PLT and ferritin. Fixel-based analysis demonstrated a dispersed distribution in white matter fibers, with a more pronounced decrease in FD, FC, and FDC in the internal capsule.

CONCLUSION

There is widespread involvement in the white matter and fiber tracts in thalassemia patients, which is highly correlated with thrombotic parameters.

Association between brain imaging biomarkers and continuous glucose monitoring-derived glycemic control indices in Japanese patients with type 2 diabetes mellitus

INTRODUCTION

Although type 2 diabetes mellitus (T2DM) is associated with alterations in brain structure, the relationship between glycemic control indices and brain imaging markers remains unclear. This study aimed to investigate the association between continuous glucose monitoring (CGM)-derived glycemic control indices and brain imaging biomarkers assessed by MRI.

RESEARCH DESIGN AND METHODS

This cross-sectional study included 150 patients with T2DM. The severity of cerebral white matter lesions (WMLs) was assessed using MRI for deep and subcortical white matter and periventricular hyperintensities. The degree of medial temporal lobe atrophy (MTA) was assessed using voxel-based morphometry. Each participant wore a retrospective CGM for 14 consecutive days, and glycemic control indices, such as time in range (TIR) and glycemia risk index (GRI), were calculated.

RESULTS

The proportion of patients with severe WMLs showed a decreasing trend with increasing TIR (P for trend=0.006). The proportion of patients with severe WMLs showed an increasing trend with worsening GRI (P for trend=0.011). In contrast, no significant association was observed between the degree of MTA and CGM-derived glycemic control indices, including TIR (P for trend=0.325) and GRI (P for trend=0.447).

CONCLUSIONS

The findings of this study indicate that the severity of WMLs is associated with TIR and GRI, which are indices of the quality of glycemic control.

TRIAL REGISTRATION NUMBER

UMIN000032143.

Brain morphometry and short-term stroke outcome

OBJECTIVE

Aim: The aim of the research was to investigate associations between brain morphometric changes and short-term stroke outcome.

PATIENTS AND METHODS

Materials and Methods: In this study, 294 patients with acute stroke were enrolled. All participants underwent magnetic resonance imaging (MRI) and computed tomography (CT) assessment as well as clinical-neurological and cognitive testing.

RESULTS

Results: In the multivariable regression analysis, bicaudate index (OR = 1.3; 95 % CI 1.1 - 1.7, p=0.018) and ventricular index (OR = 0.7; CI 0.5 - 0.9, p=0.005) were associated with an unfavourable short-term stroke outcome. The univariable regression analysis revealed significant associations between mini-mental state examination scale score (MMSE) and width of the longitudinal cerebral fissure in the anterior part of the frontal lobes (FI) (b -0.8, 95% CI -1.6 - -0.1, p=0.037) as well as width of the cerebral fissure in the area of the skull vault (SW) (b -0.9, 95% CI -1.8 - -0.1, p=0.023). In the multivariable regression model bicaudate index was associated with MMSE score (b coefficient (b) = -1.2; 95 % CI -2.1 - -0.3, p = 0.011).

CONCLUSION

Conclusions: our results show that altered brain morphometric indices are associated with unfavourable short-term stroke outcome and cognitive decline.