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Hi-Fi fMRI: High-resolution, fast-sampled and sub-second whole-brain functional MRI at 3T in humans

View ORCID ProfileBenedetta Franceschiello, Simone Rumac, View ORCID ProfileTom Hilbert, View ORCID ProfileMatthias Nau, Martyna Dziadosz, View ORCID ProfileGiulio Degano, View ORCID ProfileChristopher W. Roy, View ORCID ProfileAnna Gaglianese, View ORCID ProfileGiovanni Petri, View ORCID ProfileJérôme Yerly, View ORCID ProfileMatthias Stuber, View ORCID ProfileTobias Kober, View ORCID ProfileRuud B. van Heeswijk, View ORCID ProfileMicah M. Murray, View ORCID ProfileEleonora Fornari
doi: https://doi.org/10.1101/2023.05.13.540663
Benedetta Franceschiello
1Institute of Systems Engineering, School of Engineering, HES-SO Valais-Wallis, Sion, Switzerland
2Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
3The Sense Innovation and Research Center, Lausanne and Sion, Switzerland
4CIBM Center for Biomedical Imaging, Lausanne, Switzerland
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  • ORCID record for Benedetta Franceschiello
  • For correspondence: benedetta.franceschiello@hevs.ch
Simone Rumac
2Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
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Tom Hilbert
2Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
5Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Lausanne, Switzerland
6LTS5, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
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Matthias Nau
7Laboratory of Brain and Cognition, National Institute of Mental Health, National Institutes of Health, Bethesda MD, USA
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Martyna Dziadosz
1Institute of Systems Engineering, School of Engineering, HES-SO Valais-Wallis, Sion, Switzerland
2Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
3The Sense Innovation and Research Center, Lausanne and Sion, Switzerland
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Giulio Degano
9Department of Psychology, Faculty of Psychology and Educational Sciences, University of Geneva, Geneva, Switzerland
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  • ORCID record for Giulio Degano
Christopher W. Roy
2Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
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Anna Gaglianese
2Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
3The Sense Innovation and Research Center, Lausanne and Sion, Switzerland
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Giovanni Petri
8CENTAI, Corso Inghilterra 3, Turin, Italy
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Jérôme Yerly
2Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
4CIBM Center for Biomedical Imaging, Lausanne, Switzerland
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Matthias Stuber
2Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
4CIBM Center for Biomedical Imaging, Lausanne, Switzerland
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Tobias Kober
2Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
5Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Lausanne, Switzerland
6LTS5, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
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Ruud B. van Heeswijk
2Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
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Micah M. Murray
2Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
3The Sense Innovation and Research Center, Lausanne and Sion, Switzerland
4CIBM Center for Biomedical Imaging, Lausanne, Switzerland
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Eleonora Fornari
2Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
4CIBM Center for Biomedical Imaging, Lausanne, Switzerland
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ABSTRACT

Functional magnetic resonance imaging (fMRI) is a methodological cornerstone of neuroscience. Most studies measure blood-oxygen-level-dependent (BOLD) signal using echo-planar imaging (EPI), Cartesian sampling, and image reconstruction with a one-to-one correspondence between the number of acquired volumes and reconstructed images. However, EPI schemes are subject to trade-offs between spatial and temporal resolutions. We overcome these limitations by measuring BOLD with a gradient recalled echo (GRE) with 3D radial-spiral phyllotaxis trajectory at a high sampling rate (28.24ms) on standard 3T field-strength. The framework enables the reconstruction of 3D signal time courses with whole-brain coverage at simultaneously higher spatial (1mm3) and temporal (up to 250ms) resolutions, as compared to optimized EPI schemes. Additionally, artifacts are corrected before image reconstruction; the desired temporal resolution is chosen after scanning and without assumptions on the shape of the hemodynamic response. By showing activation in the calcarine sulcus of 20 participants performing an ON-OFF visual paradigm, we demonstrate the reliability of our method for cognitive neuroscience research.

Competing Interest Statement

B.F., J.Y., M.S., and M.M.M. declare the following competing financial interest: a patent application partially inspiring the protocol described in this manuscript has been published (WO/2020/178397). T.H. and T.K. are employed by Siemens Healthineers International AG. MS receives non-financial research support from Siemens Healthineers.

Footnotes

  • ↵+ Shared senior authorship

  • I just replaced the abstract in the general description, the pdf is not touched

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
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Posted May 15, 2023.
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Hi-Fi fMRI: High-resolution, fast-sampled and sub-second whole-brain functional MRI at 3T in humans
Benedetta Franceschiello, Simone Rumac, Tom Hilbert, Matthias Nau, Martyna Dziadosz, Giulio Degano, Christopher W. Roy, Anna Gaglianese, Giovanni Petri, Jérôme Yerly, Matthias Stuber, Tobias Kober, Ruud B. van Heeswijk, Micah M. Murray, Eleonora Fornari
bioRxiv 2023.05.13.540663; doi: https://doi.org/10.1101/2023.05.13.540663
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Hi-Fi fMRI: High-resolution, fast-sampled and sub-second whole-brain functional MRI at 3T in humans
Benedetta Franceschiello, Simone Rumac, Tom Hilbert, Matthias Nau, Martyna Dziadosz, Giulio Degano, Christopher W. Roy, Anna Gaglianese, Giovanni Petri, Jérôme Yerly, Matthias Stuber, Tobias Kober, Ruud B. van Heeswijk, Micah M. Murray, Eleonora Fornari
bioRxiv 2023.05.13.540663; doi: https://doi.org/10.1101/2023.05.13.540663

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