scholarly journals Distributing coil elements in three dimensions enhances parallel transmission multiband RF performance: A simulation study in the human brain at 7 Tesla

2016 ◽  
Vol 75 (6) ◽  
pp. 2464-2472 ◽  
Author(s):  
Xiaoping Wu ◽  
Jinfeng Tian ◽  
Sebastian Schmitter ◽  
J. Tommy Vaughan ◽  
Kâmil Uğurbil ◽  
...  
Keyword(s):  
Human Brain ◽  
Simulation Study ◽  
Three Dimensions ◽  
7 Tesla ◽  
Parallel Transmission ◽  
Rf Performance

Parallel-transmission-enabled three-dimensional T2-weighted imaging of the human brain at 7 Tesla

2014 ◽  
Vol 73 (6) ◽  
pp. 2195-2203 ◽  
Author(s):  
Aurélien Massire ◽  
Alexandre Vignaud ◽  
Benjamin Robert ◽  
Denis Le Bihan ◽  
Nicolas Boulant ◽  
...  
Keyword(s):  
Human Brain ◽  
Three Dimensional ◽  
7 Tesla ◽  
Parallel Transmission

scholarly journals Fast diffusion kurtosis mapping of human brain at 7 Tesla with hybrid principal component analyses

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Fangrong Zong ◽  
Jiaxin Du ◽  
Xiaofeng Deng ◽  
Xubin Chai ◽  
Yan Zhuo ◽  
...  
Keyword(s):  
Human Brain ◽  
Principal Component ◽  
7 Tesla ◽  
Fast Diffusion ◽  
Principal Component Analyses ◽  
Diffusion Kurtosis

scholarly journals Taste quality representation in the human brain

2019 ◽  
Author(s):  
Jason A. Avery ◽  
Alexander G. Liu ◽  
John E. Ingeholm ◽  
Cameron D. Riddell ◽  
Stephen J. Gotts ◽  
...  
Keyword(s):  
Human Brain ◽  
Cortical Neurons ◽  
Brain Regions ◽  
Taste Quality ◽  
7 Tesla ◽  
Mammalian Brain ◽  
High Magnetic Field Strength ◽  
Magnetic Resonance Imaging Mri ◽  
Spatial Locations ◽  
Univariate Analyses

SUMMARYIn the mammalian brain, the insula is the primary cortical substrate involved in the perception of taste. Recent imaging studies in rodents have identified a gustotopic organization in the insula, whereby distinct insula regions are selectively responsive to one of the five basic tastes. However, numerous studies in monkeys have reported that gustatory cortical neurons are broadly-tuned to multiple tastes, and tastes are not represented in discrete spatial locations. Neuroimaging studies in humans have thus far been unable to discern between these two models, though this may be due to the relatively low spatial resolution employed in taste studies to date. In the present study, we examined the spatial representation of taste within the human brain using ultra-high resolution functional magnetic resonance imaging (MRI) at high magnetic field strength (7-Tesla). During scanning, participants tasted sweet, salty, sour and tasteless liquids, delivered via a custom-built MRI-compatible tastant-delivery system. Our univariate analyses revealed that all tastes (vs. tasteless) activated primary taste cortex within the bilateral dorsal mid-insula, but no brain region exhibited a consistent preference for any individual taste. However, our multivariate searchlight analyses were able to reliably decode the identity of distinct tastes within those mid-insula regions, as well as brain regions involved in affect and reward, such as the striatum, orbitofrontal cortex, and amygdala. These results suggest that taste quality is not represented topographically, but by a combinatorial spatial code, both within primary taste cortex as well as regions involved in processing the hedonic and aversive properties of taste.

Treating grain growth in thin films in three dimensions: A simulation study

2016 ◽  
Vol 125 ◽  
pp. 51-60 ◽  
Author(s):  
Dana Zöllner
Keyword(s):  
Thin Films ◽  
Grain Growth ◽  
Simulation Study ◽  
Three Dimensions

scholarly journals Perfusion-based high-resolution functional imaging in the human brain at 7 Tesla

2002 ◽  
Vol 47 (5) ◽  
pp. 903-911 ◽  
Author(s):  
Josef Pfeuffer ◽  
Gregor Adriany ◽  
Amir Shmuel ◽  
Essa Yacoub ◽  
Pierre-Francois Van De Moortele ◽  
...  
Keyword(s):  
High Resolution ◽  
Human Brain ◽  
Functional Imaging ◽  
7 Tesla

scholarly journals N-acetyl-aspartyl-glutamate detection in the human brain at 7 Tesla by echo time optimization and improved Wiener filtering

2013 ◽  
Vol 72 (4) ◽  
pp. 903-912 ◽  
Author(s):  
Li An ◽  
Shizhe Li ◽  
Emily T. Wood ◽  
Daniel S. Reich ◽  
Jun Shen
Keyword(s):  
Human Brain ◽  
Wiener Filtering ◽  
7 Tesla ◽  
Time Optimization ◽  
Echo Time
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