Mesoscopic in vivo human T2* dataset acquired using quantitative MRI at 7 Tesla

Omer Faruk Gulban; Saskia Bollmann; Laurentius (Renzo) Huber; Konrad Wagstyl; Rainer Goebel; Benedikt A. Poser; Kendrick Kay; Dimo Ivanov

doi:10.1016/j.neuroimage.2022.119733

Mesoscopic in vivo human T₂^* dataset acquired using quantitative MRI at 7 Tesla

Omer Faruk Gulban, Saskia Bollmann, Laurentius (Renzo) Huber, Konrad Wagstyl, Rainer Goebel, Benedikt A. Poser, Kendrick Kay, Dimo Ivanov

Center for Magnetic Resonance Research

Research output: Contribution to journal › Article › peer-review

7 Scopus citations

Abstract

Mesoscopic (0.1-0.5 mm) interrogation of the living human brain is critical for advancing neuroscience and bridging the resolution gap with animal models. Despite the variety of MRI contrasts measured in recent years at the mesoscopic scale, in vivo quantitative imaging of T₂^* has not been performed. Here we provide a dataset containing empirical T₂^* measurements acquired at 0.35 × 0.35 × 0.35 mm³ voxel resolution using 7 Tesla MRI. To demonstrate unique features and high quality of this dataset, we generate flat map visualizations that reveal fine-scale cortical substructures such as layers and vessels, and we report quantitative depth-dependent T₂^* (as well as R₂^*) values in primary visual cortex and auditory cortex that are highly consistent across subjects. This dataset is freely available at https://doi.org/10.17605/OSF.IO/N5BJ7, and may prove useful for anatomical investigations of the human brain, as well as for improving our understanding of the basis of the T₂^*-weighted (f)MRI signal.

Original language	English (US)
Article number	119733
Journal	NeuroImage
Volume	264
DOIs	https://doi.org/10.1016/j.neuroimage.2022.119733
State	Published - Dec 1 2022

Bibliographical note

Funding Information:
We thank our anonymous reviewers for their helpful comments. We thank Nikola Stikov, Jonathan Polimeni, Jeff Duyn, David Norris, and Robert Turner for their comments on the first version of our preprint. We have benefited from these valuable comments to improve our manuscript. We thank Federico De Martino for his contributions in the early stages of this study. We thank Valentin Kemper, Martin Havlicek, Kamil Uludag, Nikolaus Weiskopf, Logan Dowdle, Jonathan Winawer, Simon Robinson, Korbinian Eckstein, Michelle Moerel for fruitful discussions and their support at various stages of this project. Additionally, we thank Elizabeth DuPre, Gilles De Hollander, Taylor Salo, and Agah Karakuzu for their help with Brain Imaging Data Structure (BIDS) organization of our dataset (https://neurostars.org/t/multi-echo-anatomical-mri-bids-questions/17157). SB was funded from the NHMRC-NIH BRAIN Initiative Collaborative Research Grant APP1117020, and NIH grant 1R01MH111419. R.H. was funded from the NWO VENI project 016.Veni.198.032. K.W. was funded by the Wellcome Trust (215901/Z/19/Z). B.P. was partially funded by the NWO VIDI grant 16.Vidi.178.052, by the National Institute for Health grant R01MH/111444 (PI: David Feinberg) and by the H2020 FET-Open AROMA grant agreement no. 88587. R.G. received funding from the European Unions Horizon 2020 Framework Programme for Research and Innovation under the Specific Grant Agreement No. 945539 (Human Brain Project SGA3). O.F.G. and R.G. have financial interest tied to Brain Innovation. Scanning was supported by FPN (faculty of psychology and neuroscience) via the MBIC grant scheme. Scanning was performed at the facilities of Scannexus B.V. (Maastricht, Netherlands). T2* mapping was done with an ASPIRE sequence, kindly provided by Simon Robinson via SIEMENS C2P.

Funding Information:
SB was funded from the NHMRC-NIH BRAIN Initiative Collaborative Research Grant APP1117020, and NIH grant 1R01MH111419. R.H. was funded from the NWO VENI project 016.Veni.198.032. K.W. was funded by the Wellcome Trust (215901/Z/19/Z). B.P. was partially funded by the NWO VIDI grant 16.Vidi.178.052, by the National Institute for Health grant R01MH/111444 (PI: David Feinberg) and by the H2020 FET-Open AROMA grant agreement no. 88587. R.G. received funding from the European Unions Horizon 2020 Framework Programme for Research and Innovation under the Specific Grant Agreement No. 945539 (Human Brain Project SGA3). O.F.G. and R.G. have financial interest tied to Brain Innovation. Scanning was supported by FPN (faculty of psychology and neuroscience) via the MBIC grant scheme. Scanning was performed at the facilities of Scannexus B.V. (Maastricht, Netherlands). mapping was done with an ASPIRE sequence, kindly provided by Simon Robinson via SIEMENS C2P.

Publisher Copyright:
© 2022 The Author(s)

Keywords

7 T
Angioarchitecture
Auditory
Brain
Cortex
Human
In vivo
Layers
MRI
Mesoscopic
R
T
Vessels
Visual

Center for Magnetic Resonance Research (CMRR) tags

NMC
IRP

PubMed: MeSH publication types

Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't

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10.1016/j.neuroimage.2022.119733

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@article{cfeed7148eab4697ab04c919287f16cd,

title = "Mesoscopic in vivo human T2* dataset acquired using quantitative MRI at 7 Tesla",

abstract = "Mesoscopic (0.1-0.5 mm) interrogation of the living human brain is critical for advancing neuroscience and bridging the resolution gap with animal models. Despite the variety of MRI contrasts measured in recent years at the mesoscopic scale, in vivo quantitative imaging of T2* has not been performed. Here we provide a dataset containing empirical T2* measurements acquired at 0.35 × 0.35 × 0.35 mm3 voxel resolution using 7 Tesla MRI. To demonstrate unique features and high quality of this dataset, we generate flat map visualizations that reveal fine-scale cortical substructures such as layers and vessels, and we report quantitative depth-dependent T2* (as well as R2*) values in primary visual cortex and auditory cortex that are highly consistent across subjects. This dataset is freely available at https://doi.org/10.17605/OSF.IO/N5BJ7, and may prove useful for anatomical investigations of the human brain, as well as for improving our understanding of the basis of the T2*-weighted (f)MRI signal.",

keywords = "7 T, Angioarchitecture, Auditory, Brain, Cortex, Human, In vivo, Layers, MRI, Mesoscopic, R, T, Vessels, Visual",

author = "Gulban, {Omer Faruk} and Saskia Bollmann and Huber, {Laurentius (Renzo)} and Konrad Wagstyl and Rainer Goebel and Poser, {Benedikt A.} and Kendrick Kay and Dimo Ivanov",

note = "Funding Information: We thank our anonymous reviewers for their helpful comments. We thank Nikola Stikov, Jonathan Polimeni, Jeff Duyn, David Norris, and Robert Turner for their comments on the first version of our preprint. We have benefited from these valuable comments to improve our manuscript. We thank Federico De Martino for his contributions in the early stages of this study. We thank Valentin Kemper, Martin Havlicek, Kamil Uludag, Nikolaus Weiskopf, Logan Dowdle, Jonathan Winawer, Simon Robinson, Korbinian Eckstein, Michelle Moerel for fruitful discussions and their support at various stages of this project. Additionally, we thank Elizabeth DuPre, Gilles De Hollander, Taylor Salo, and Agah Karakuzu for their help with Brain Imaging Data Structure (BIDS) organization of our dataset (https://neurostars.org/t/multi-echo-anatomical-mri-bids-questions/17157). SB was funded from the NHMRC-NIH BRAIN Initiative Collaborative Research Grant APP1117020, and NIH grant 1R01MH111419. R.H. was funded from the NWO VENI project 016.Veni.198.032. K.W. was funded by the Wellcome Trust (215901/Z/19/Z). B.P. was partially funded by the NWO VIDI grant 16.Vidi.178.052, by the National Institute for Health grant R01MH/111444 (PI: David Feinberg) and by the H2020 FET-Open AROMA grant agreement no. 88587. R.G. received funding from the European Unions Horizon 2020 Framework Programme for Research and Innovation under the Specific Grant Agreement No. 945539 (Human Brain Project SGA3). O.F.G. and R.G. have financial interest tied to Brain Innovation. Scanning was supported by FPN (faculty of psychology and neuroscience) via the MBIC grant scheme. Scanning was performed at the facilities of Scannexus B.V. (Maastricht, Netherlands). T2* mapping was done with an ASPIRE sequence, kindly provided by Simon Robinson via SIEMENS C2P. Funding Information: SB was funded from the NHMRC-NIH BRAIN Initiative Collaborative Research Grant APP1117020, and NIH grant 1R01MH111419. R.H. was funded from the NWO VENI project 016.Veni.198.032. K.W. was funded by the Wellcome Trust (215901/Z/19/Z). B.P. was partially funded by the NWO VIDI grant 16.Vidi.178.052, by the National Institute for Health grant R01MH/111444 (PI: David Feinberg) and by the H2020 FET-Open AROMA grant agreement no. 88587. R.G. received funding from the European Unions Horizon 2020 Framework Programme for Research and Innovation under the Specific Grant Agreement No. 945539 (Human Brain Project SGA3). O.F.G. and R.G. have financial interest tied to Brain Innovation. Scanning was supported by FPN (faculty of psychology and neuroscience) via the MBIC grant scheme. Scanning was performed at the facilities of Scannexus B.V. (Maastricht, Netherlands). mapping was done with an ASPIRE sequence, kindly provided by Simon Robinson via SIEMENS C2P. Publisher Copyright: {\textcopyright} 2022 The Author(s)",

year = "2022",

month = dec,

day = "1",

doi = "10.1016/j.neuroimage.2022.119733",

language = "English (US)",

volume = "264",

journal = "NeuroImage",

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TY - JOUR

T1 - Mesoscopic in vivo human T2* dataset acquired using quantitative MRI at 7 Tesla

AU - Gulban, Omer Faruk

AU - Bollmann, Saskia

AU - Huber, Laurentius (Renzo)

AU - Wagstyl, Konrad

AU - Goebel, Rainer

AU - Poser, Benedikt A.

AU - Kay, Kendrick

AU - Ivanov, Dimo

N1 - Funding Information: We thank our anonymous reviewers for their helpful comments. We thank Nikola Stikov, Jonathan Polimeni, Jeff Duyn, David Norris, and Robert Turner for their comments on the first version of our preprint. We have benefited from these valuable comments to improve our manuscript. We thank Federico De Martino for his contributions in the early stages of this study. We thank Valentin Kemper, Martin Havlicek, Kamil Uludag, Nikolaus Weiskopf, Logan Dowdle, Jonathan Winawer, Simon Robinson, Korbinian Eckstein, Michelle Moerel for fruitful discussions and their support at various stages of this project. Additionally, we thank Elizabeth DuPre, Gilles De Hollander, Taylor Salo, and Agah Karakuzu for their help with Brain Imaging Data Structure (BIDS) organization of our dataset (https://neurostars.org/t/multi-echo-anatomical-mri-bids-questions/17157). SB was funded from the NHMRC-NIH BRAIN Initiative Collaborative Research Grant APP1117020, and NIH grant 1R01MH111419. R.H. was funded from the NWO VENI project 016.Veni.198.032. K.W. was funded by the Wellcome Trust (215901/Z/19/Z). B.P. was partially funded by the NWO VIDI grant 16.Vidi.178.052, by the National Institute for Health grant R01MH/111444 (PI: David Feinberg) and by the H2020 FET-Open AROMA grant agreement no. 88587. R.G. received funding from the European Unions Horizon 2020 Framework Programme for Research and Innovation under the Specific Grant Agreement No. 945539 (Human Brain Project SGA3). O.F.G. and R.G. have financial interest tied to Brain Innovation. Scanning was supported by FPN (faculty of psychology and neuroscience) via the MBIC grant scheme. Scanning was performed at the facilities of Scannexus B.V. (Maastricht, Netherlands). T2* mapping was done with an ASPIRE sequence, kindly provided by Simon Robinson via SIEMENS C2P. Funding Information: SB was funded from the NHMRC-NIH BRAIN Initiative Collaborative Research Grant APP1117020, and NIH grant 1R01MH111419. R.H. was funded from the NWO VENI project 016.Veni.198.032. K.W. was funded by the Wellcome Trust (215901/Z/19/Z). B.P. was partially funded by the NWO VIDI grant 16.Vidi.178.052, by the National Institute for Health grant R01MH/111444 (PI: David Feinberg) and by the H2020 FET-Open AROMA grant agreement no. 88587. R.G. received funding from the European Unions Horizon 2020 Framework Programme for Research and Innovation under the Specific Grant Agreement No. 945539 (Human Brain Project SGA3). O.F.G. and R.G. have financial interest tied to Brain Innovation. Scanning was supported by FPN (faculty of psychology and neuroscience) via the MBIC grant scheme. Scanning was performed at the facilities of Scannexus B.V. (Maastricht, Netherlands). mapping was done with an ASPIRE sequence, kindly provided by Simon Robinson via SIEMENS C2P. Publisher Copyright: © 2022 The Author(s)

PY - 2022/12/1

Y1 - 2022/12/1

N2 - Mesoscopic (0.1-0.5 mm) interrogation of the living human brain is critical for advancing neuroscience and bridging the resolution gap with animal models. Despite the variety of MRI contrasts measured in recent years at the mesoscopic scale, in vivo quantitative imaging of T2* has not been performed. Here we provide a dataset containing empirical T2* measurements acquired at 0.35 × 0.35 × 0.35 mm3 voxel resolution using 7 Tesla MRI. To demonstrate unique features and high quality of this dataset, we generate flat map visualizations that reveal fine-scale cortical substructures such as layers and vessels, and we report quantitative depth-dependent T2* (as well as R2*) values in primary visual cortex and auditory cortex that are highly consistent across subjects. This dataset is freely available at https://doi.org/10.17605/OSF.IO/N5BJ7, and may prove useful for anatomical investigations of the human brain, as well as for improving our understanding of the basis of the T2*-weighted (f)MRI signal.

AB - Mesoscopic (0.1-0.5 mm) interrogation of the living human brain is critical for advancing neuroscience and bridging the resolution gap with animal models. Despite the variety of MRI contrasts measured in recent years at the mesoscopic scale, in vivo quantitative imaging of T2* has not been performed. Here we provide a dataset containing empirical T2* measurements acquired at 0.35 × 0.35 × 0.35 mm3 voxel resolution using 7 Tesla MRI. To demonstrate unique features and high quality of this dataset, we generate flat map visualizations that reveal fine-scale cortical substructures such as layers and vessels, and we report quantitative depth-dependent T2* (as well as R2*) values in primary visual cortex and auditory cortex that are highly consistent across subjects. This dataset is freely available at https://doi.org/10.17605/OSF.IO/N5BJ7, and may prove useful for anatomical investigations of the human brain, as well as for improving our understanding of the basis of the T2*-weighted (f)MRI signal.

KW - 7 T

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KW - Auditory

KW - Brain

KW - Cortex

KW - Human

KW - In vivo

KW - Layers

KW - MRI

KW - Mesoscopic

KW - R

KW - T

KW - Vessels

KW - Visual

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