Connectome 2.0: A BRAIN Technology Integration and Dissemination Resource for Ultra-High Gradient Magnetic Resonance Imaging of Human Brain Circuits Across Scales
Project Number1U24NS137077-01
Contact PI/Project LeaderHUANG, SUSIE YI
Awardee OrganizationMASSACHUSETTS GENERAL HOSPITAL
Description
Abstract Text
SUMMARY
The goal of this proposal is to disseminate Connectome 2.0, the next-generation 3 Tesla human MRI scanner at
the Massachusetts General Hospital designed for imaging human brain circuits across scales, as a unique
resource for neuroscience collaborations around the world. This ultra-high gradient strength, high slew-rate 3T
MRI scanner was expressly developed through the support of the NIH BRAIN Initiative to enable studies of neural
tissue microstructure and brain circuits spanning the microscopic, mesoscopic, and macroscopic scales. The
Connectome 2.0 scanner builds upon our expertise in engineering and disseminating the first human
Connectome MRI scanner for the Human Connectome Project to hundreds of users worldwide. In order to
maximize the resolution of this powerful scanner for studies of tissue structure down to the microscopic level in
the living human brain, we have pushed the diffusion resolution limit to unprecedented levels by (1) achieving
ultra-high gradient strengths up to 500 mT/m and ultra-fast slew rates up to 600 T/m/s; (2) pushing the limits of
the RF receive coils and gradient characterization to enable maximum sensitivity with greatly reduced artifacts
using real-time eddy current corrected MRI acquisitions; (3) developing new pulse sequences to achieve the
highest diffusion- and spatial-resolution ever achieved in vivo; and (4) calibrating the measurements through
systematic validation in high-fidelity phantoms and ex vivo brain tissue at progressively finer scales. As part of
this collaborative, center-wide endeavor, we will create novel advances in image acquisition and reconstruction
to enable maximal use of the Connectome 2.0 gradients for a wide array of neuroscientific applications. The
scanner has been validated in diffusion MRI studies down to sub-millimeter resolution with high-fidelity distortion
correction. The stronger gradients offer considerable improvements in diffusion imaging, reaching high b-values
with significantly shorter echo times. Funding of the current U24 proposal will facilitate the engineering effort and
scientific personnel to support, maintain, and expand the capabilities of this remarkable instrument, enable
efficient data transfer, integration, and analysis, as well as the requisite subject recruitment, user access, training,
and guidance to advance scientific collaborations nationally and internationally. While the major goal of this
project is to provide an innovative resource for unparalleled tissue microstructure and circuit characterization in
the living human brain, the research resource also holds great potential for improving our current understanding
of a wide range of neurological and psychiatric disorders, including multiple sclerosis, traumatic brain injury,
aging, Alzheimer’s disease, and mental disorders. This one-of-a-kind instrument represents the ultimate diffusion
MRI machine capable of addressing the BRAIN 2025 mandate to image across scales, from the microscopic
scale needed to probe cellular heterogeneity and plasticity, to the mesoscopic scale for enumerating the
distinctions in cortical structure and connectivity that define cyto- and myeloarchitectonic boundaries, to
improvements in estimates of macroscopic connectivity.
Public Health Relevance Statement
PROJECT NARRATIVE
The goal of this proposal is to make available to scientists worldwide the next generation human MRI scanner
for mapping the microscopic, mesoscopic, and macroscopic connections in the human brain known as
Connectome 2.0, located at the Massachusetts General Hospital. This scanner will dramatically change our
ability to visualize the microscopic structure of the human brain and advance our understanding of how the
brain works and changes in learning, memory, aging, and pathology. We will create the infrastructure to enable
broad and efficient use of this scanner, by enabling in-person and remote access for international teams of
neuroscientists, physicists, engineers, and clinicians to use the Connectome 2.0 MRI scanner and allow this
new research tool to reach the widest audience possible.
NIH Spending Category
No NIH Spending Category available.
Project Terms
AddressAgingAlzheimer's DiseaseAnimal Disease ModelsArchitectureAxonBRAIN initiativeBrainBrain MappingBrain imagingBrain regionCalibrationCell DensityCellular StructuresCognitiveCollaborationsCommunitiesCustomDataDevelopmentDiffusionDiffusion Magnetic Resonance ImagingDisciplineEngineeringEnsureFundingGeneral HospitalsGenerationsGoalsGrantGrowthHeadHeterogeneityHospital DesignHumanHuman ResourcesImageImaging DeviceIndividualInfrastructureInstitutionInternationalLearningLiquid substanceMagnetic Resonance ImagingMapsMassachusettsMeasurementMemoryMental disordersMethodsMicroscopicMonitorMorphologic artifactsMultiple SclerosisNerve FibersNervous System DisorderNeuroanatomyNeuronal PlasticityNeuronsNeurosciencesPathologyPersonsPhasePhysicsPhysiologic pulseProceduresPublicationsResearchResearch PersonnelResolutionResource SharingResourcesSchizophreniaScientific Advances and AccomplishmentsScientistShapesSpecificityStructureSystemTechniquesTechnologyTimeTissuesTrainingTraumatic Brain InjuryUnited States National Institutes of HealthValidationVisualizationWorkautism spectrum disorderbrain tissuecell typecomputerized data processingconnectomedata acquisitiondata exchangedesignhuman imaginghuman tissueimage processingimage reconstructionimaging modalityimprovedin vivoinnovationinnovative neurotechnologiesinstrumentinterestmetermillimeterneuralneural circuitneuroimagingnext generationnon-invasive imagingnovelquality assurancereconstructionrecruitstructural imagingsuccesstechnology developmenttooltractography
National Institute of Neurological Disorders and Stroke
CFDA Code
853
DUNS Number
073130411
UEI
FLJ7DQKLL226
Project Start Date
15-August-2024
Project End Date
30-June-2029
Budget Start Date
15-August-2024
Budget End Date
30-June-2025
Project Funding Information for 2024
Total Funding
$1,430,923
Direct Costs
$895,941
Indirect Costs
$534,982
Year
Funding IC
FY Total Cost by IC
2024
National Institute on Aging
$1,143,397
2024
National Institute of Neurological Disorders and Stroke
$287,526
Year
Funding IC
FY Total Cost by IC
Sub Projects
No Sub Projects information available for 1U24NS137077-01
Publications
Publications are associated with projects, but cannot be identified with any particular year of the project or fiscal year of funding. This is due to the continuous and cumulative nature of knowledge generation across the life of a project and the sometimes long and variable publishing timeline. Similarly, for multi-component projects, publications are associated with the parent core project and not with individual sub-projects.
No Publications available for 1U24NS137077-01
Patents
No Patents information available for 1U24NS137077-01
Outcomes
The Project Outcomes shown here are displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed are those of the PI and do not necessarily reflect the views of the National Institutes of Health. NIH has not endorsed the content below.
No Outcomes available for 1U24NS137077-01
Clinical Studies
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News and More
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History
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Similar Projects
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