Validation of a New Coil Array Tailored for Dog Functional Magnetic Resonance Imaging Studies

被引:3
作者
Guran, Catherine-Noemie Alexandrina [1 ,2 ]
Sladky, Ronald [2 ]
Karl, Sabrina [3 ]
Boch, Magdalena [2 ,4 ]
Laistler, Elmar [5 ]
Windischberger, Christian [6 ]
Huber, Ludwig [3 ]
Lamm, Claus [1 ,2 ]
机构
[1] Univ Vienna, Fac Psychol, Cognit Sci Hub, A-1090 Vienna, Austria
[2] Univ Vienna, Fac Psychol, Dept Cognit Emot & Methods Psychol, Social Cognit & Affect Neurosci SCAN Unit, A-1010 Vienna, Austria
[3] Univ Vet Med Vienna, Med Univ Vienna, Univ Vienna, Comparat Cognit Messerli Res Inst,Clever Dog Lab, A-1210 Vienna, Austria
[4] Univ Vienna, Dept Cognit Biol, A-1030 Vienna, Austria
[5] Med Univ Vienna, Ctr Med Phys & Biomed Engn, Div MR Phys, A-1090 Vienna, Austria
[6] Med Univ Vienna, High Field MR Ctr, Ctr Med Phys & Biomed Engn, A-1090 Vienna, Austria
基金
奥地利科学基金会;
关键词
canine neuroimaging; comparative neuroimaging; dog fMRI; hardware; K9; coil; TO-NOISE RATIO; CANINE BRAIN; MRI; CONNECTIVITY; FMRI; COGNITION;
D O I
10.1523/ENEURO.0083-22.2022
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Comparative neuroimaging allows for the identification of similarities and differences between species. It provides an important and promising avenue, to answer questions about the evolutionary origins of the brain center dot s organization, in terms of both structure and function. Dog functional magnetic resonance imaging (fMRI) has recently become one particularly promising and increasingly used approach to study brain function and coevolution. In dog neuroimaging, image acquisition has so far been mostly performed with coils originally developed for use in human MRI. Since such coils have been tailored to human anatomy, their sensitivity and data quality is likely not optimal for dog MRI. Therefore, we developed a multichannel receive coil (K9 coil, read "canine") tailored for high-resolution functional imaging in canines, optimized for dog cranial anatomy. In this paper we report structural (n =9) as well as functional imaging data (resting-state, n = 6; simple visual paradigm, n =9) collected with the K9 coil in comparison to reference data collected with a human knee coil. Our results show that the K9 coil significantly outperforms the human knee coil, improving the signal-to-noise ratio (SNR) across the imaging modalities. We noted increases of roughly 45% sig-nal-to-noise in the structural and functional domain. In terms of translation to fMRI data collected in a visual flickering checkerboard paradigm, group-level analyses show that the K9 coil performs better than the knee coil as well. These findings demonstrate how hardware improvements may be instrumental in driving data quality, and thus, qual-ity of imaging results, for dog-human comparative neuroimaging.
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页数:11
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