UM1NS132358
Cooperative Agreement
Overview
Grant Description
Brain Connects: The Center for Large-Scale Imaging of Neural Circuits (LINC) - Project Summary:
This project will develop and validate a comprehensive toolset of novel technologies for imaging axonal projections across scales, and will deploy this toolset to map a complex system of cortico-subcortical projections in the macaque and human brain.
We will combine the complementary strengths of three innovative microscopy techniques. First, Polarization-Sensitive Optical Coherence Tomography (PS-OCT) will provide label-free, undistorted imaging of axonal orientations at the scale of microscopic fascicles, allowing us to follow fascicles across the brain without the need for axon segmentation.
Second, whole-mount light-sheet microscopy (LSM) of cleared and immunolabeled sections will allow us to image fascicles at the sub-micron scale, resolving individual axons.
Third, Hierarchical Phase-Contrast Tomography (HIP-CT) will allow us to image both the axons and their micro-environment, at a range of scales from a few microns down to sub-micron.
We will scale these three microscopy techniques up to image a large sub-volume of the brain (up to two-thirds of a hemisphere) that contains subcortical projections of the motor, premotor, and prefrontal cortex.
In the macaque brains, fluorescent tracer injections will allow direct validation of our novel microscopy techniques. In combination with an extensive collection of prior tracer injections, the macaque data will also provide the topographic organizational rules of fibers in cortico-subcortical bundles, which we will then use to validate our novel microscopy techniques in human brains.
In both macaque and human specimens, we will also collect extensive, cutting-edge, whole-brain diffusion MRI data, which will provide the link to non-invasive neuroimaging.
The unprecedented datasets generated by our project will enable research discovery in two use cases.
In the first use case, we will annotate projections of the motor, premotor, and prefrontal cortex to the subthalamic nucleus (STN). We will use them to advance our understanding of circuits associated with clinical improvements in four diseases that are treated with deep-brain stimulation in neighboring subzones of the STN: dystonia, Tourette's syndrome, Parkinson's disease, and obsessive-compulsive disorder.
In the second use case, we will investigate the mapping from the axonal orientations and microstructural features obtained from the microscopy data to dMRI signals acquired in the same brains.
In addition to the unprecedented datasets and the two use cases described above, this project will generate state-of-the-art pipelines for pre-processing, co-registration, axon segmentation, tractography, and quantification, across the scales spanned by the acquired data.
We will develop a novel platform for sharing the microscopy, tracer, and MRI data with the research community. This will go well beyond a static data repository, allowing the user to interact with the data remotely and providing a "validation engine" for testing neuroimaging software tools against the gold standard post mortem data collected by this project.
If successful, this project will generate a scalable and validated toolset for imaging connectional anatomy, with a direct link to its applications in the study of human disease.
This project will develop and validate a comprehensive toolset of novel technologies for imaging axonal projections across scales, and will deploy this toolset to map a complex system of cortico-subcortical projections in the macaque and human brain.
We will combine the complementary strengths of three innovative microscopy techniques. First, Polarization-Sensitive Optical Coherence Tomography (PS-OCT) will provide label-free, undistorted imaging of axonal orientations at the scale of microscopic fascicles, allowing us to follow fascicles across the brain without the need for axon segmentation.
Second, whole-mount light-sheet microscopy (LSM) of cleared and immunolabeled sections will allow us to image fascicles at the sub-micron scale, resolving individual axons.
Third, Hierarchical Phase-Contrast Tomography (HIP-CT) will allow us to image both the axons and their micro-environment, at a range of scales from a few microns down to sub-micron.
We will scale these three microscopy techniques up to image a large sub-volume of the brain (up to two-thirds of a hemisphere) that contains subcortical projections of the motor, premotor, and prefrontal cortex.
In the macaque brains, fluorescent tracer injections will allow direct validation of our novel microscopy techniques. In combination with an extensive collection of prior tracer injections, the macaque data will also provide the topographic organizational rules of fibers in cortico-subcortical bundles, which we will then use to validate our novel microscopy techniques in human brains.
In both macaque and human specimens, we will also collect extensive, cutting-edge, whole-brain diffusion MRI data, which will provide the link to non-invasive neuroimaging.
The unprecedented datasets generated by our project will enable research discovery in two use cases.
In the first use case, we will annotate projections of the motor, premotor, and prefrontal cortex to the subthalamic nucleus (STN). We will use them to advance our understanding of circuits associated with clinical improvements in four diseases that are treated with deep-brain stimulation in neighboring subzones of the STN: dystonia, Tourette's syndrome, Parkinson's disease, and obsessive-compulsive disorder.
In the second use case, we will investigate the mapping from the axonal orientations and microstructural features obtained from the microscopy data to dMRI signals acquired in the same brains.
In addition to the unprecedented datasets and the two use cases described above, this project will generate state-of-the-art pipelines for pre-processing, co-registration, axon segmentation, tractography, and quantification, across the scales spanned by the acquired data.
We will develop a novel platform for sharing the microscopy, tracer, and MRI data with the research community. This will go well beyond a static data repository, allowing the user to interact with the data remotely and providing a "validation engine" for testing neuroimaging software tools against the gold standard post mortem data collected by this project.
If successful, this project will generate a scalable and validated toolset for imaging connectional anatomy, with a direct link to its applications in the study of human disease.
Awardee
Funding Goals
NOT APPLICABLE
Grant Program (CFDA)
Awarding / Funding Agency
Place of Performance
Charlestown,
Massachusetts
02129
United States
Geographic Scope
Single Zip Code
Related Opportunity
Analysis Notes
Amendment Since initial award the total obligations have increased 288% from $4,500,000 to $17,455,711.
The General Hospital Corporation was awarded
LINC: Large-Scale Imaging of Neural Circuits
Cooperative Agreement UM1NS132358
worth $17,455,711
from the National Institute of Neurological Disorders and Stroke in September 2023 with work to be completed primarily in Charlestown Massachusetts United States.
The grant
has a duration of 4 years 9 months and
was awarded through assistance program 93.866 Aging Research.
The Cooperative Agreement was awarded through grant opportunity BRAIN Initiative Connectivity across Scales (BRAIN CONNECTS): Comprehensive Centers for Human and Non-Human Primate Brain (UM1 Clinical Trial Not Allowed).
Status
(Ongoing)
Last Modified 8/5/26
Period of Performance
9/1/23
Start Date
6/30/28
End Date
Funding Split
$17.5M
Federal Obligation
$0.0
Non-Federal Obligation
$17.5M
Total Obligated
Activity Timeline
Subgrant Awards
Disclosed subgrants for UM1NS132358
Transaction History
Modifications to UM1NS132358
Additional Detail
Award ID FAIN
UM1NS132358
SAI Number
UM1NS132358-487231748
Award ID URI
SAI UNAVAILABLE
Awardee Classifications
Nonprofit With 501(c)(3) IRS Status (Other Than An Institution Of Higher Education)
Awarding Office
75NQ00 NIH National Institute of Neurological Disorders and Stroke
Funding Office
75NQ00 NIH National Institute of Neurological Disorders and Stroke
Awardee UEI
FLJ7DQKLL226
Awardee CAGE
0ULU5
Performance District
MA-07
Senators
Edward Markey
Elizabeth Warren
Elizabeth Warren
Budget Funding
| Federal Account | Budget Subfunction | Object Class | Total | Percentage |
|---|---|---|---|---|
| National Institute of Mental Health, National Institutes of Health, Health and Human Services (075-0892) | Health research and training | Grants, subsidies, and contributions (41.0) | $4,500,000 | 95% |
| National Institute of Neurological Disorders and Stroke, National Institutes of Health, Health and Human Services (075-0886) | Health research and training | Grants, subsidies, and contributions (41.0) | $228,350 | 5% |
Modified: 8/5/26