A line through the brain: implementation of human line-scanning at 7T for ultra-high spatiotemporal resolution fMRI
Raimondo, Luisa; Knapen, Tomas; Oliveira, ĺcaro A.F.; Yu, Xin; Dumoulin, Serge O.; van der Zwaag, Wietske; Siero, Jeroen C.W.
(2021) Journal of Cerebral Blood Flow and Metabolism, volume 41, issue 11, pp. 2831 - 2843
(Article)
Abstract
Functional magnetic resonance imaging (fMRI) is a widely used tool in neuroscience to detect neurally evoked responses, e.g. the blood oxygenation level-dependent (BOLD) signal. Typically, BOLD fMRI has millimeter spatial resolution and temporal resolution of one to few seconds. To study the sub-millimeter structures and activity of the cortical gray
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matter, the field needs an fMRI method with high spatial and temporal resolution. Line-scanning fMRI achieves very high spatial resolution and high sampling rate, at the cost of a sacrifice in volume coverage. Here, we present a human line-scanning implementation on a 7T MRI system. First, we investigate the quality of the saturation pulses that suppress MR signal outside the line. Second, we established the best coil combination for reconstruction. Finally, we applied the line-scanning method in the occipital lobe during a visual stimulation task, showing BOLD responses along cortical depth, every 250 µm with a 200 ms repetition time (TR). We found a good correspondence of t-statistics values with 2D gradient-echo echo planar imaging (GE-EPI) BOLD fMRI data with the same temporal resolution and voxel volume (R = 0.6 ± 0.2). In summary, we demonstrate the feasibility of line-scanning in humans and this opens line-scanning fMRI for applications in cognitive and clinical neuroscience.
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Keywords: 7T, BOLD, fMRI, high spatiotemporal resolution, Line-scanning, Neurology, Clinical Neurology, Cardiology and Cardiovascular Medicine
ISSN: 0271-678X
Publisher: Nature Publishing Group
Note: Funding Information: The Spinoza Center is a joint initiative of the University of Amsterdam, Academic Medical Center, VU University, VU University Medical Center, Netherlands Institute for Neuroscience and the Royal Netherlands Academy of Sciences. The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported by Royal Netherlands Acadamy for Arts and Sciences (KNAW) research grant (2018, to S.O.D., W.Z, J.S.), a Netherlands Organization for Scientific Research (NWO) Vidi Grant (TTW VI.Vidi.198.016 to W.Z.), an NWO Vici (016.Vici.185.050 to S.O.D.) and an Ammodo KNAW Award (S.O.D.). J.S. was supported by the National Institute of Mental Health of the National Institutes of Health under Award Number R01MH111417. X.Y. is supported by NIH grants: RF1NS113278, R01MH111438. Funding Information: The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported by Royal Netherlands Acadamy for Arts and Sciences (KNAW) research grant (2018, to S.O.D., W.Z, J.S.), a Netherlands Organization for Scientific Research (NWO) Vidi Grant (TTW VI.Vidi.198.016 to W.Z.), an NWO Vici (016.Vici.185.050 to S.O.D.) and an Ammodo KNAW Award (S.O.D.). J.S. was supported by the National Institute of Mental Health of the National Institutes of Health under Award Number R01MH111417. X.Y. is supported by NIH grants: RF1NS113278, R01MH111438. Acknowledgements Publisher Copyright: © The Author(s) 2021.
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