Single-shot dual-z-shimmed sensitivity-encoded spiral-in/out imaging for functional MRI with reduced susceptibility artifacts

2007 ◽  
Vol 59 (1) ◽  
pp. 221-227 ◽  
Author(s):  
Trong-Kha Truong ◽  
Allen W. Song

2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Mehdi Behroozi ◽  
Xavier Helluy ◽  
Felix Ströckens ◽  
Meng Gao ◽  
Roland Pusch ◽  
...  

Abstract Animal-fMRI is a powerful method to understand neural mechanisms of cognition, but it remains a major challenge to scan actively participating small animals under low-stress conditions. Here, we present an event-related functional MRI platform in awake pigeons using single-shot RARE fMRI to investigate the neural fundaments for visually-guided decision making. We established a head-fixated Go/NoGo paradigm, which the animals quickly learned under low-stress conditions. The animals were motivated by water reward and behavior was assessed by logging mandibulations during the fMRI experiment with close to zero motion artifacts over hundreds of repeats. To achieve optimal results, we characterized the species-specific hemodynamic response function. As a proof-of-principle, we run a color discrimination task and discovered differential neural networks for Go-, NoGo-, and response execution-phases. Our findings open the door to visualize the neural fundaments of perceptual and cognitive functions in birds—a vertebrate class of which some clades are cognitively on par with primates.



2018 ◽  
Author(s):  
Damien A. Fair ◽  
Oscar Miranda-Dominguez ◽  
Abraham Z. Snyder ◽  
Anders Perrone ◽  
Eric A. Earl ◽  
...  

AbstractHead motion represents one of the greatest technical obstacles for brain MRI. Accurate detection of artifacts induced by head motion requires precise estimation of movement. However, this estimation may be corrupted by factitious effects owing to main field fluctuations generated by body motion. In the current report, we examine head motion estimation in multiband resting state functional connectivity MRI (rs-fcMRI) data from the Adolescent Brain and Cognitive Development (ABCD) Study and a comparison ‘single-shot’ dataset from Oregon Health & Science University. We show unequivocally that respirations contaminate movement estimates in functional MRI and that respiration generates apparent head motion not associated with degraded quality of functional MRI. We have developed a novel approach using a band-stop filter that accurately removes these respiratory effects. Subsequently, we demonstrate that utilizing this filter improves post-processing data quality. Lastly, we demonstrate the real-time implementation of motion estimate filtering in our FIRMM (Framewise Integrated Real-Time MRI Monitoring) software package.



NeuroImage ◽  
2017 ◽  
Vol 158 ◽  
pp. 26-36 ◽  
Author(s):  
Myung-Ho In ◽  
Shinho Cho ◽  
Yunhong Shu ◽  
Hoon-Ki Min ◽  
Matt A. Bernstein ◽  
...  




NeuroImage ◽  
2001 ◽  
Vol 13 (6) ◽  
pp. 43 ◽  
Author(s):  
V.Andrew Stenger ◽  
Qing Yang ◽  
Fernando Boada ◽  
Douglas Noll


NeuroImage ◽  
1996 ◽  
Vol 3 (3) ◽  
pp. S407
Author(s):  
P. Reimer ◽  
G. Schuierer ◽  
T. Hellmann ◽  
S. Knecht ◽  
K. Papke ◽  
...  


1999 ◽  
Vol 17 (9) ◽  
pp. 1239-1243 ◽  
Author(s):  
Markus Barth ◽  
Alexander Metzler ◽  
Markus Klarhöfer ◽  
Stefan Röll ◽  
Ewald Moser ◽  
...  


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