Ligand-free gadolinium oxide for in vivo T1-weighted magnetic resonance imaging

2013 ◽  
Vol 15 (29) ◽  
pp. 12235 ◽  
Author(s):  
Ningqi Luo ◽  
Xiumei Tian ◽  
Chuan Yang ◽  
Jun Xiao ◽  
Wenyong Hu ◽  
...  
Nanoscale ◽  
2014 ◽  
Vol 6 (5) ◽  
pp. 2855-2860 ◽  
Author(s):  
Haibo Wang ◽  
Wei Lu ◽  
Tianmei Zeng ◽  
Zhigao Yi ◽  
Ling Rao ◽  
...  

A new type of multi-functional NaErF4 nanoprobe with enhanced red upconversion emission was developed and used for in vitro cell, in vivo X-ray and T2-weighted magnetic resonance imaging for the first time.


2018 ◽  
Vol 10 (6) ◽  
pp. 5147-5160 ◽  
Author(s):  
Kefyalew Dagnew Addisu ◽  
Balkew Zewge Hailemeskel ◽  
Shewaye Lakew Mekuria ◽  
Abegaz Tizazu Andrgie ◽  
Yu-Chun Lin ◽  
...  

1990 ◽  
Vol 109 (2) ◽  
pp. 164-170 ◽  
Author(s):  
Andrew B. Norman ◽  
Stephen R. Thomas ◽  
Ronald G. Pratt ◽  
R.C. Samaratunga ◽  
Paul R. Sanberg

2020 ◽  
Vol 31 (1) ◽  
pp. 201-212 ◽  
Author(s):  
Johanna Seitz ◽  
Suheyla Cetin-Karayumak ◽  
Amanda Lyall ◽  
Ofer Pasternak ◽  
Madhura Baxi ◽  
...  

Abstract Axonal myelination and repair, critical processes for brain development, maturation, and aging, remain controlled by sexual hormones. Whether this influence is reflected in structural brain differences between sexes, and whether it can be quantified by neuroimaging, remains controversial. Diffusion-weighted magnetic resonance imaging (dMRI) is an in vivo method that can track myelination changes throughout the lifespan. We utilize a large, multisite sample of harmonized dMRI data (n = 551, age = 9–65 years, 46% females/54% males) to investigate the influence of sex on white matter (WM) structure. We model lifespan trajectories of WM using the most common dMRI measure fractional anisotropy (FA). Next, we examine the influence of both age and sex on FA variability. We estimate the overlap between male and female FA and test whether it is possible to label individual brains as male or female. Our results demonstrate regionally and spatially specific effects of sex. Sex differences are limited to limbic structures and young ages. Additionally, not only do sex differences diminish with age, but tracts within each subject become more similar to one another. Last, we show the high overlap in FA between sexes, which implies that determining sex based on WM remains open.


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