scholarly journals MRI Markers for Mild Cognitive Impairment: Comparisons between White Matter Integrity and Gray Matter Volume Measurements

PLoS ONE ◽  
2013 ◽  
Vol 8 (6) ◽  
pp. e66367 ◽  
Author(s):  
Yu Zhang ◽  
Norbert Schuff ◽  
Monica Camacho ◽  
Linda L. Chao ◽  
Thomas P. Fletcher ◽  
...  
Neurology ◽  
2013 ◽  
Vol 80 (11) ◽  
pp. 1025-1032 ◽  
Author(s):  
H. E. Hulst ◽  
M. D. Steenwijk ◽  
A. Versteeg ◽  
P. J. W. Pouwels ◽  
H. Vrenken ◽  
...  

2016 ◽  
Vol 108 ◽  
pp. 100
Author(s):  
Derya Durusu Emek-Sava ◽  
Berrin Çavuşoğlu ◽  
Duygu Hünerli ◽  
Deniz Yerlikaya ◽  
Arife Gökçeoğlu ◽  
...  

2016 ◽  
Vol 7 ◽  
Author(s):  
Yongming Wang ◽  
Zhiling Zou ◽  
Hongwen Song ◽  
Xiaodan Xu ◽  
Huijun Wang ◽  
...  

Nephron ◽  
2020 ◽  
Vol 145 (1) ◽  
pp. 35-43
Author(s):  
Wesley T. Richerson ◽  
Laura G. Umfleet ◽  
Brian D. Schmit ◽  
Dawn F. Wolfgram

<b><i>Introduction:</i></b> Patients on hemodialysis (HD) have a significant burden of cognitive impairment. Characterizing the cerebral structural changes in HD patients compared to healthy controls and evaluating the relationship of cerebral structural integrity with cognitive performance in HD patients can help clarify the pathophysiology of the cognitive impairment in HD patients. <b><i>Methods:</i></b> In this cross-sectional study, in-center HD patients ≥50 years of age underwent brain structural and diffusion MRIs and cognitive assessment using the NIH Toolbox cognition battery. The cerebral imaging measures of the HD participants were compared to imaging from age-matched controls. Gray matter volume, white matter volume, and white matter integrity determined by diffusion tensor imaging parameters (including fractional anisotropy [FA]) were measured in both cohorts to determine differences in the cerebral structure between HD participants and healthy controls. The association between cognitive performance on the NIH Toolbox cognition battery and cerebral structural integrity was evaluated using multiple linear regression models. <b><i>Results:</i></b> We compared imaging measures form 23 HD participants and 15 age-matched controls. The HD participants had decreased gray matter volumes (526.8 vs. 589.5 cm<sup>3</sup>, <i>p</i> &#x3c; 0.01) and worsened white matter integrity overall (FA values of 0.2864 vs. 0.3441, <i>p</i> &#x3c; 0.01) within major white matter tracts compared to healthy controls. Decreases in white matter integrity in the left superior longitudinal fasciculus was associated with lower executive function scores (<i>r</i><sup><i>2</i></sup> = 0.24, <i>p</i> = 0.02) and inferior longitudinal fasciculus with lower memory scores (<i>r</i> = 0.25 and <i>p</i> = 0.03 for left and <i>r</i><sup>2</sup> = 0.21 and <i>p</i> = 0.03 for right). <b><i>Conclusions:</i></b> HD patients have a pattern of decreased white matter integrity and gray matter atrophy compared to controls. Decreases in white matter integrity were associated with decreased cognitive performance in the HD population.


2020 ◽  
Vol 78 (2) ◽  
pp. 673-681
Author(s):  
Jianjun Wang ◽  
Hanqing Lyu ◽  
Jianxiang Chen ◽  
Songjun Lin ◽  
Haotao Zheng ◽  
...  

Background: Late-life depression often coexists with vascular cognitive impairment and affects the quality of life for elders. However, little is known about cortical morphometric interactions between subcortical vascular mild cognitive impairment (svMCI) and concomitant mild depressive symptoms at the early stage. Objective: We aimed to investigate cortical alterations of svMCI with and without depressive symptoms and determine whether these parameters are associated with depression symptoms and/or cognitive impairments. Methods: Surface based morphometry was performed on 18 svMCI patients with depressive symptoms (svMCI + D), 16 svMCI patients without depressive symptoms (svMCI–D), and 23 normal controls (NC). Results: Compared to NC, both svMCI + D and svMCI–D patients exhibited significantly decreased surface area (SA) in many cortical areas. Interestingly, svMCI + D patients showed significantly increased rather than decreased SA in right lateral occipital gyrus (LOG.R), and a consistent trend of increased SA in these areas compared to svMCI–D. In addition, the svMCI + D showed increased gray matter volume of left pericalcarine (periCAL.L) than svMCI–D, whereas svMCI–D showed decreased gray matter volume of periCAL.L than NC. Further correlation analyses revealed that the SA of left superior temporal gyrus (STG.L) and right lateral orbital part of frontal gyrus (lorbFG.R) were significantly correlated with Hamilton depression rating scale of svMCI + D. Conclusion: In conclusion, these results extend our insight into svMCI and add weight to reevaluation of concomitant early stage depressive symptoms. Moreover, we suggest that LOG.R∖periCAL.L∖STG.L∖lorbFG.R might serve as sensitive and trait-dependent biomarkers to detect concomitant depressive symptoms in svMCI patients.


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