Connectome 2.0: Developing the next-generation ultra-high gradient strength human MRI scanner for bridging studies of the micro-, meso- and macro-connectome

The first phase of the Human Connectome Project pioneered advances in MRI technology for mapping the macroscopic structural connections of the living human brain through the engineering of a whole-body human MRI scanner equipped with maximum gradient strength of 300 mT/m, the highest ever achieved f...

Full description

Bibliographic Details
Main Authors: Susie Y. Huang, Thomas Witzel, Boris Keil, Alina Scholz, Mathias Davids, Peter Dietz, Elmar Rummert, Rebecca Ramb, John E. Kirsch, Anastasia Yendiki, Qiuyun Fan, Qiyuan Tian, Gabriel Ramos-Llordén, Hong-Hsi Lee, Aapo Nummenmaa, Berkin Bilgic, Kawin Setsompop, Fuyixue Wang, Alexandru V. Avram, Michal Komlosh, Dan Benjamini, Kulam Najmudeen Magdoom, Sudhir Pathak, Walter Schneider, Dmitry S. Novikov, Els Fieremans, Slimane Tounekti, Choukri Mekkaoui, Jean Augustinack, Daniel Berger, Alexander Shapson-Coe, Jeff Lichtman, Peter J. Basser, Lawrence L. Wald, Bruce R. Rosen
Format: Article
Language:English
Published: Elsevier 2021-11-01
Series:NeuroImage
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S105381192100803X
id doaj-3f804dccae384c94902f963dc48ac87b
record_format Article
collection DOAJ
language English
format Article
sources DOAJ
author Susie Y. Huang
Thomas Witzel
Boris Keil
Alina Scholz
Mathias Davids
Peter Dietz
Elmar Rummert
Rebecca Ramb
John E. Kirsch
Anastasia Yendiki
Qiuyun Fan
Qiyuan Tian
Gabriel Ramos-Llordén
Hong-Hsi Lee
Aapo Nummenmaa
Berkin Bilgic
Kawin Setsompop
Fuyixue Wang
Alexandru V. Avram
Michal Komlosh
Dan Benjamini
Kulam Najmudeen Magdoom
Sudhir Pathak
Walter Schneider
Dmitry S. Novikov
Els Fieremans
Slimane Tounekti
Choukri Mekkaoui
Jean Augustinack
Daniel Berger
Alexander Shapson-Coe
Jeff Lichtman
Peter J. Basser
Lawrence L. Wald
Bruce R. Rosen
spellingShingle Susie Y. Huang
Thomas Witzel
Boris Keil
Alina Scholz
Mathias Davids
Peter Dietz
Elmar Rummert
Rebecca Ramb
John E. Kirsch
Anastasia Yendiki
Qiuyun Fan
Qiyuan Tian
Gabriel Ramos-Llordén
Hong-Hsi Lee
Aapo Nummenmaa
Berkin Bilgic
Kawin Setsompop
Fuyixue Wang
Alexandru V. Avram
Michal Komlosh
Dan Benjamini
Kulam Najmudeen Magdoom
Sudhir Pathak
Walter Schneider
Dmitry S. Novikov
Els Fieremans
Slimane Tounekti
Choukri Mekkaoui
Jean Augustinack
Daniel Berger
Alexander Shapson-Coe
Jeff Lichtman
Peter J. Basser
Lawrence L. Wald
Bruce R. Rosen
Connectome 2.0: Developing the next-generation ultra-high gradient strength human MRI scanner for bridging studies of the micro-, meso- and macro-connectome
NeuroImage
Connectome
Diffusion MRI
Head gradient
Peripheral nerve stimulation
Multi-scale modeling
Tissue microstructure
author_facet Susie Y. Huang
Thomas Witzel
Boris Keil
Alina Scholz
Mathias Davids
Peter Dietz
Elmar Rummert
Rebecca Ramb
John E. Kirsch
Anastasia Yendiki
Qiuyun Fan
Qiyuan Tian
Gabriel Ramos-Llordén
Hong-Hsi Lee
Aapo Nummenmaa
Berkin Bilgic
Kawin Setsompop
Fuyixue Wang
Alexandru V. Avram
Michal Komlosh
Dan Benjamini
Kulam Najmudeen Magdoom
Sudhir Pathak
Walter Schneider
Dmitry S. Novikov
Els Fieremans
Slimane Tounekti
Choukri Mekkaoui
Jean Augustinack
Daniel Berger
Alexander Shapson-Coe
Jeff Lichtman
Peter J. Basser
Lawrence L. Wald
Bruce R. Rosen
author_sort Susie Y. Huang
title Connectome 2.0: Developing the next-generation ultra-high gradient strength human MRI scanner for bridging studies of the micro-, meso- and macro-connectome
title_short Connectome 2.0: Developing the next-generation ultra-high gradient strength human MRI scanner for bridging studies of the micro-, meso- and macro-connectome
title_full Connectome 2.0: Developing the next-generation ultra-high gradient strength human MRI scanner for bridging studies of the micro-, meso- and macro-connectome
title_fullStr Connectome 2.0: Developing the next-generation ultra-high gradient strength human MRI scanner for bridging studies of the micro-, meso- and macro-connectome
title_full_unstemmed Connectome 2.0: Developing the next-generation ultra-high gradient strength human MRI scanner for bridging studies of the micro-, meso- and macro-connectome
title_sort connectome 2.0: developing the next-generation ultra-high gradient strength human mri scanner for bridging studies of the micro-, meso- and macro-connectome
publisher Elsevier
series NeuroImage
issn 1095-9572
publishDate 2021-11-01
description The first phase of the Human Connectome Project pioneered advances in MRI technology for mapping the macroscopic structural connections of the living human brain through the engineering of a whole-body human MRI scanner equipped with maximum gradient strength of 300 mT/m, the highest ever achieved for human imaging. While this instrument has made important contributions to the understanding of macroscale connectional topology, it has also demonstrated the potential of dedicated high-gradient performance scanners to provide unparalleled in vivo assessment of neural tissue microstructure. Building on the initial groundwork laid by the original Connectome scanner, we have now embarked on an international, multi-site effort to build the next-generation human 3T Connectome scanner (Connectome 2.0) optimized for the study of neural tissue microstructure and connectional anatomy across multiple length scales. In order to maximize the resolution of this in vivo microscope for studies of the living human brain, we will push the diffusion resolution limit to unprecedented levels by (1) nearly doubling the current maximum gradient strength from 300 mT/m to 500 mT/m and tripling the maximum slew rate from 200 T/m/s to 600 T/m/s through the design of a one-of-a-kind head gradient coil optimized to minimize peripheral nerve stimulation; (2) developing high-sensitivity multi-channel radiofrequency receive coils for in vivo and ex vivo human brain imaging; (3) incorporating dynamic field monitoring to minimize image distortions and artifacts; (4) developing new pulse sequences to integrate the strongest diffusion encoding and highest spatial resolution ever achieved in the living human brain; and (5) calibrating the measurements obtained from this next-generation instrument through systematic validation of diffusion microstructural metrics in high-fidelity phantoms and ex vivo brain tissue at progressively finer scales with accompanying diffusion simulations in histology-based micro-geometries. We envision creating the ultimate diffusion MRI instrument capable of capturing the complex multi-scale organization of the living human brain – from the microscopic scale needed to probe cellular geometry, heterogeneity and plasticity, to the mesoscopic scale for quantifying the distinctions in cortical structure and connectivity that define cyto- and myeloarchitectonic boundaries, to improvements in estimates of macroscopic connectivity.
topic Connectome
Diffusion MRI
Head gradient
Peripheral nerve stimulation
Multi-scale modeling
Tissue microstructure
url http://www.sciencedirect.com/science/article/pii/S105381192100803X
work_keys_str_mv AT susieyhuang connectome20developingthenextgenerationultrahighgradientstrengthhumanmriscannerforbridgingstudiesofthemicromesoandmacroconnectome
AT thomaswitzel connectome20developingthenextgenerationultrahighgradientstrengthhumanmriscannerforbridgingstudiesofthemicromesoandmacroconnectome
AT boriskeil connectome20developingthenextgenerationultrahighgradientstrengthhumanmriscannerforbridgingstudiesofthemicromesoandmacroconnectome
AT alinascholz connectome20developingthenextgenerationultrahighgradientstrengthhumanmriscannerforbridgingstudiesofthemicromesoandmacroconnectome
AT mathiasdavids connectome20developingthenextgenerationultrahighgradientstrengthhumanmriscannerforbridgingstudiesofthemicromesoandmacroconnectome
AT peterdietz connectome20developingthenextgenerationultrahighgradientstrengthhumanmriscannerforbridgingstudiesofthemicromesoandmacroconnectome
AT elmarrummert connectome20developingthenextgenerationultrahighgradientstrengthhumanmriscannerforbridgingstudiesofthemicromesoandmacroconnectome
AT rebeccaramb connectome20developingthenextgenerationultrahighgradientstrengthhumanmriscannerforbridgingstudiesofthemicromesoandmacroconnectome
AT johnekirsch connectome20developingthenextgenerationultrahighgradientstrengthhumanmriscannerforbridgingstudiesofthemicromesoandmacroconnectome
AT anastasiayendiki connectome20developingthenextgenerationultrahighgradientstrengthhumanmriscannerforbridgingstudiesofthemicromesoandmacroconnectome
AT qiuyunfan connectome20developingthenextgenerationultrahighgradientstrengthhumanmriscannerforbridgingstudiesofthemicromesoandmacroconnectome
AT qiyuantian connectome20developingthenextgenerationultrahighgradientstrengthhumanmriscannerforbridgingstudiesofthemicromesoandmacroconnectome
AT gabrielramosllorden connectome20developingthenextgenerationultrahighgradientstrengthhumanmriscannerforbridgingstudiesofthemicromesoandmacroconnectome
AT honghsilee connectome20developingthenextgenerationultrahighgradientstrengthhumanmriscannerforbridgingstudiesofthemicromesoandmacroconnectome
AT aaponummenmaa connectome20developingthenextgenerationultrahighgradientstrengthhumanmriscannerforbridgingstudiesofthemicromesoandmacroconnectome
AT berkinbilgic connectome20developingthenextgenerationultrahighgradientstrengthhumanmriscannerforbridgingstudiesofthemicromesoandmacroconnectome
AT kawinsetsompop connectome20developingthenextgenerationultrahighgradientstrengthhumanmriscannerforbridgingstudiesofthemicromesoandmacroconnectome
AT fuyixuewang connectome20developingthenextgenerationultrahighgradientstrengthhumanmriscannerforbridgingstudiesofthemicromesoandmacroconnectome
AT alexandruvavram connectome20developingthenextgenerationultrahighgradientstrengthhumanmriscannerforbridgingstudiesofthemicromesoandmacroconnectome
AT michalkomlosh connectome20developingthenextgenerationultrahighgradientstrengthhumanmriscannerforbridgingstudiesofthemicromesoandmacroconnectome
AT danbenjamini connectome20developingthenextgenerationultrahighgradientstrengthhumanmriscannerforbridgingstudiesofthemicromesoandmacroconnectome
AT kulamnajmudeenmagdoom connectome20developingthenextgenerationultrahighgradientstrengthhumanmriscannerforbridgingstudiesofthemicromesoandmacroconnectome
AT sudhirpathak connectome20developingthenextgenerationultrahighgradientstrengthhumanmriscannerforbridgingstudiesofthemicromesoandmacroconnectome
AT walterschneider connectome20developingthenextgenerationultrahighgradientstrengthhumanmriscannerforbridgingstudiesofthemicromesoandmacroconnectome
AT dmitrysnovikov connectome20developingthenextgenerationultrahighgradientstrengthhumanmriscannerforbridgingstudiesofthemicromesoandmacroconnectome
AT elsfieremans connectome20developingthenextgenerationultrahighgradientstrengthhumanmriscannerforbridgingstudiesofthemicromesoandmacroconnectome
AT slimanetounekti connectome20developingthenextgenerationultrahighgradientstrengthhumanmriscannerforbridgingstudiesofthemicromesoandmacroconnectome
AT choukrimekkaoui connectome20developingthenextgenerationultrahighgradientstrengthhumanmriscannerforbridgingstudiesofthemicromesoandmacroconnectome
AT jeanaugustinack connectome20developingthenextgenerationultrahighgradientstrengthhumanmriscannerforbridgingstudiesofthemicromesoandmacroconnectome
AT danielberger connectome20developingthenextgenerationultrahighgradientstrengthhumanmriscannerforbridgingstudiesofthemicromesoandmacroconnectome
AT alexandershapsoncoe connectome20developingthenextgenerationultrahighgradientstrengthhumanmriscannerforbridgingstudiesofthemicromesoandmacroconnectome
AT jefflichtman connectome20developingthenextgenerationultrahighgradientstrengthhumanmriscannerforbridgingstudiesofthemicromesoandmacroconnectome
AT peterjbasser connectome20developingthenextgenerationultrahighgradientstrengthhumanmriscannerforbridgingstudiesofthemicromesoandmacroconnectome
AT lawrencelwald connectome20developingthenextgenerationultrahighgradientstrengthhumanmriscannerforbridgingstudiesofthemicromesoandmacroconnectome
AT brucerrosen connectome20developingthenextgenerationultrahighgradientstrengthhumanmriscannerforbridgingstudiesofthemicromesoandmacroconnectome
_version_ 1716843646358126592
spelling doaj-3f804dccae384c94902f963dc48ac87b2021-10-05T04:18:52ZengElsevierNeuroImage1095-95722021-11-01243118530Connectome 2.0: Developing the next-generation ultra-high gradient strength human MRI scanner for bridging studies of the micro-, meso- and macro-connectomeSusie Y. Huang0Thomas Witzel1Boris Keil2Alina Scholz3Mathias Davids4Peter Dietz5Elmar Rummert6Rebecca Ramb7John E. Kirsch8Anastasia Yendiki9Qiuyun Fan10Qiyuan Tian11Gabriel Ramos-Llordén12Hong-Hsi Lee13Aapo Nummenmaa14Berkin Bilgic15Kawin Setsompop16Fuyixue Wang17Alexandru V. Avram18Michal Komlosh19Dan Benjamini20Kulam Najmudeen Magdoom21Sudhir Pathak22Walter Schneider23Dmitry S. Novikov24Els Fieremans25Slimane Tounekti26Choukri Mekkaoui27Jean Augustinack28Daniel Berger29Alexander Shapson-Coe30Jeff Lichtman31Peter J. Basser32Lawrence L. Wald33Bruce R. Rosen34Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Corresponding author.Q bio Inc., San Carlos, CA, USAInstitute of Medical Physics and Radiation Protection (IMPS), TH-Mittelhessen University of Applied Sciences (THM), Giessen, GermanyInstitute of Medical Physics and Radiation Protection (IMPS), TH-Mittelhessen University of Applied Sciences (THM), Giessen, GermanyAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USASiemens Healthineers, Erlangen, GermanySiemens Healthineers, Erlangen, GermanySiemens Healthineers, Erlangen, GermanyAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USAAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USAAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USAAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USAAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USAAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USAAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USAAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USARadiological Sciences Laboratory, Department of Radiology, Stanford University, Stanford, CA, USAAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USAEunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, USAEunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, USAEunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, USAEunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, USALearning Research and Development Center, University of Pittsburgh, Pittsburgh, PA, USALearning Research and Development Center, University of Pittsburgh, Pittsburgh, PA, USACenter for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, NY, USA; Center for Advanced Imaging Innovation and Research (CAI2R), New York University School of Medicine, New York, NY, USACenter for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, NY, USA; Center for Advanced Imaging Innovation and Research (CAI2R), New York University School of Medicine, New York, NY, USAAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USAAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USAAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USADepartment of Molecular and Cell Biology and Center for Brain Science, Harvard University, Cambridge, MA, USADepartment of Molecular and Cell Biology and Center for Brain Science, Harvard University, Cambridge, MA, USADepartment of Molecular and Cell Biology and Center for Brain Science, Harvard University, Cambridge, MA, USAEunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, USAAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USAAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USAThe first phase of the Human Connectome Project pioneered advances in MRI technology for mapping the macroscopic structural connections of the living human brain through the engineering of a whole-body human MRI scanner equipped with maximum gradient strength of 300 mT/m, the highest ever achieved for human imaging. While this instrument has made important contributions to the understanding of macroscale connectional topology, it has also demonstrated the potential of dedicated high-gradient performance scanners to provide unparalleled in vivo assessment of neural tissue microstructure. Building on the initial groundwork laid by the original Connectome scanner, we have now embarked on an international, multi-site effort to build the next-generation human 3T Connectome scanner (Connectome 2.0) optimized for the study of neural tissue microstructure and connectional anatomy across multiple length scales. In order to maximize the resolution of this in vivo microscope for studies of the living human brain, we will push the diffusion resolution limit to unprecedented levels by (1) nearly doubling the current maximum gradient strength from 300 mT/m to 500 mT/m and tripling the maximum slew rate from 200 T/m/s to 600 T/m/s through the design of a one-of-a-kind head gradient coil optimized to minimize peripheral nerve stimulation; (2) developing high-sensitivity multi-channel radiofrequency receive coils for in vivo and ex vivo human brain imaging; (3) incorporating dynamic field monitoring to minimize image distortions and artifacts; (4) developing new pulse sequences to integrate the strongest diffusion encoding and highest spatial resolution ever achieved in the living human brain; and (5) calibrating the measurements obtained from this next-generation instrument through systematic validation of diffusion microstructural metrics in high-fidelity phantoms and ex vivo brain tissue at progressively finer scales with accompanying diffusion simulations in histology-based micro-geometries. We envision creating the ultimate diffusion MRI instrument capable of capturing the complex multi-scale organization of the living human brain – from the microscopic scale needed to probe cellular geometry, heterogeneity and plasticity, to the mesoscopic scale for quantifying the distinctions in cortical structure and connectivity that define cyto- and myeloarchitectonic boundaries, to improvements in estimates of macroscopic connectivity.http://www.sciencedirect.com/science/article/pii/S105381192100803XConnectomeDiffusion MRIHead gradientPeripheral nerve stimulationMulti-scale modelingTissue microstructure