MRI Features and Site-specific Factors of Ischemic Changes in White Matter： A Retrospective Study

Brain magnetic resonance imaging （MRI） of the elderly often reveals white matter changes （WMCs） with substantial variability across individuals. Our study was designed to explore MRI features and site-specific factors of ischemic WMCs. Clinical data of consecutive patients diagnosed with ischemic cerebral vascular disease who had undergone brain MRI were collected and analyzed. Multi-logistic regression analysis comparing patients with mild versus severe WMCs was performed to detect independent associations. Analyses of variance （ANOVAs） were used to detect regionally specific differences in lesions. We found that lesion distribution differed significantly across five cerebral areas, with lesions being predominant in the frontal lobe and parieto-occipital area. To explore WMCs risk factors, after adjusting for gender, diabetes mellitus, and hypertension, only age （P〈0.01）, creatinine （P=0.01）, alkaline phosphatase （ALP） （P=0.01） and low-density lipoprotein cholesterol （LDL-C） （P=0.03） were found to be independently associated with severe WMCs. Age （P〈0.001） was strongly associated with WMCs in the frontal lobe while hypertension was independently related to lesions in the basal ganglia （P=0.048） or infratentorial area （P=0.016）. In conclusion, MRI of WMCs showed that ischemic WMCs occurred mostly in the frontal lobe and parieto-occipital area. The infratentorial area was least affected by WMCs. Typically, age-related WMCs were observed in the frontal lobes, while hypertension-related WMCs tended to occur in the basal ganglia and infratentorial area.

Multifractal analysis of white matter structural changes on 3D magnetic resonance imaging between normal aging and early Alzheimer's disease

Applications of multifractal analysis to white matter structure changes on magnetic resonance imaging（MRI） have recently received increasing attentions. Although some progresses have been made, there is no evident study on applying multifractal analysis to evaluate the white matter structural changes on MRI for Alzheimer＇s disease（AD） research. In this paper, to explore multifractal analysis of white matter structural changes on 3D MRI volumes between normal aging and early AD, we not only extend the traditional box-counting multifractal analysis（BCMA） into the 3D case, but also propose a modified integer ratio based BCMA（IRBCMA） algorithm to compensate for the rigid division rule in BCMA. We verify multifractal characteristics in 3D white matter MRI volumes. In addition to the previously well studied multifractal feature,△α, we also demonstrated △ f as an alternative and effective multifractal feature to distinguish NC from AD subjects.Both △α and △ f are found to have strong positive correlation with the clinical MMSE scores with statistical significance.Moreover, the proposed IRBCMA can be an alternative and more accurate algorithm for 3D volume analysis. Our findings highlight the potential usefulness of multifractal analysis, which may contribute to clarify some aspects of the etiology of AD through detection of structural changes in white matter.

Age-related changes of lateral ventricular width and periventricular white matter in the human brain: a diffusion tensor imaging study

Introduction Aging is the accumulation of multidimensional deterioration of process- ing of biological, psychological, and social changes with expansion over time （Bowen and Atwood, 2004; Grady, 2012）. Aging-related changes are typically accompanied by decline in cognitive function, urinary control, sensory-motor function, and gait ability （Bradley et al., 1991; Bowen and Atwood, 2004; Hedden and Gabrieli, 2004; Grady, 2012; Moran et al., 2012）. In addition, a number of studies have suggested changes in brain structure with normal aging, such as decrease in cortical thickness or increase in ventricular width （Blatter et al., 1995; Tang et al., 1997; Uylings and de Brabander, 2002; Preul et al., 2006; Apostolova et al., 2012）. In particular, ventricular enlargement has been suggested as a structural biomarker for normal aging and progression of some illnesses, such as Alzheimer＇s disease （Blatter et al., 1995; Tang et al.,