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Ultra-high field (10.5 T) resting state fMRI in the macaque

Essa Yacoub, Mark D. Grier, Edward J. Auerbach, Russell L. Lagore, Noam Harel, Kamil Ugurbil, Gregor Adriany, Anna Zilverstand, Benjamin Y. Hayden, Sarah R. Heilbronner, View ORCID ProfileJan Zimmermann
doi: https://doi.org/10.1101/2020.05.21.109595
Essa Yacoub
2Center for Magnetic Resonance Research, University of Minnesota, Minneapolis MN 55455
3Center for Neuroengineering, University of Minnesota, Minneapolis MN 55455
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Mark D. Grier
1Department of Neuroscience, University of Minnesota, Minneapolis MN 55455
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Edward J. Auerbach
2Center for Magnetic Resonance Research, University of Minnesota, Minneapolis MN 55455
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Russell L. Lagore
2Center for Magnetic Resonance Research, University of Minnesota, Minneapolis MN 55455
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Noam Harel
2Center for Magnetic Resonance Research, University of Minnesota, Minneapolis MN 55455
6Department of Neurosurgery, University of Minnesota, Minneapolis MN 55455
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Kamil Ugurbil
2Center for Magnetic Resonance Research, University of Minnesota, Minneapolis MN 55455
3Center for Neuroengineering, University of Minnesota, Minneapolis MN 55455
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Gregor Adriany
2Center for Magnetic Resonance Research, University of Minnesota, Minneapolis MN 55455
3Center for Neuroengineering, University of Minnesota, Minneapolis MN 55455
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Anna Zilverstand
4Department of Psychiatry, University of Minnesota, Minneapolis MN 55455
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Benjamin Y. Hayden
1Department of Neuroscience, University of Minnesota, Minneapolis MN 55455
2Center for Magnetic Resonance Research, University of Minnesota, Minneapolis MN 55455
3Center for Neuroengineering, University of Minnesota, Minneapolis MN 55455
5Department of Biomedical Engineering, University of Minnesota, Minneapolis MN 55455
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Sarah R. Heilbronner
1Department of Neuroscience, University of Minnesota, Minneapolis MN 55455
3Center for Neuroengineering, University of Minnesota, Minneapolis MN 55455
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Jan Zimmermann
1Department of Neuroscience, University of Minnesota, Minneapolis MN 55455
2Center for Magnetic Resonance Research, University of Minnesota, Minneapolis MN 55455
3Center for Neuroengineering, University of Minnesota, Minneapolis MN 55455
5Department of Biomedical Engineering, University of Minnesota, Minneapolis MN 55455
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  • ORCID record for Jan Zimmermann
  • For correspondence: janz@umn.edu
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Abstract

Resting state functional connectivity refers to the temporal correlations between spontaneous hemodynamic signals obtained using functional magnetic resonance imaging. This technique has demonstrated that the structure and dynamics of identifiable networks are altered in psychiatric and neurological disease states. Thus, resting state network organizations can be used as a diagnostic, or prognostic recovery indicator. However, much about the physiological basis of this technique is unknown. Thus, providing a translational bridge to an optimal animal model, the macaque, in which invasive circuit manipulations are possible, is of utmost importance. Current approaches to resting state measurements in macaques face unique challenges associated with signal-to-noise, the need for invasive contrast agents, and within-subject designs. These limitations can, in principle, be overcome through ultra-high magnetic fields. However, ultra-high field imaging has yet to be adapted for fMRI in macaques. Here, we demonstrate that the combination of high channel count transmitter and receiver arrays, optimized pulse sequences, and careful anesthesia regimens, allows for detailed within-subject resting state analysis at ultra-high resolutions. In this study, we uncover thirty spatially detailed resting state components that are highly robust across individual macaques and closely resemble the quality and findings of connectomes from large human datasets. This detailed map of the rsfMRI ‘macaque connectome’ will be the basis for future neurobiological circuit manipulation work, providing valuable biological insights into human connectomics.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • Funding statement This work was supported by NIH grants RF1 MH116978 (to EY), R01 DA038615 (to BYH), U01 EB025144 (to KU), by a P41 EB027061 (to KU, EY, NH, GA, BYH and JZ), R01 MH118257 (to SRH), an NINDS R01 NS081118 and P50 NS098573 Udall center to NH by an award from MNFutures to BYH, from the Digital Technologies Initiative to JZ, and BYH, from the Templeton Foundation to BYH, a Young Investigator Award from the Brain & Behavior Research Foundation to SRH, a Medical Discovery Team on Addiction Pilot Grant to SRH and BYH, and a UMN AIRP award to JZ, BYH, SRH and AZ.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted May 23, 2020.
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Ultra-high field (10.5 T) resting state fMRI in the macaque
Essa Yacoub, Mark D. Grier, Edward J. Auerbach, Russell L. Lagore, Noam Harel, Kamil Ugurbil, Gregor Adriany, Anna Zilverstand, Benjamin Y. Hayden, Sarah R. Heilbronner, Jan Zimmermann
bioRxiv 2020.05.21.109595; doi: https://doi.org/10.1101/2020.05.21.109595
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Ultra-high field (10.5 T) resting state fMRI in the macaque
Essa Yacoub, Mark D. Grier, Edward J. Auerbach, Russell L. Lagore, Noam Harel, Kamil Ugurbil, Gregor Adriany, Anna Zilverstand, Benjamin Y. Hayden, Sarah R. Heilbronner, Jan Zimmermann
bioRxiv 2020.05.21.109595; doi: https://doi.org/10.1101/2020.05.21.109595

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