Project Grant 2527212
- The National Institute of Neurological Disorders and Stroke (NINDS) awarded a $147,486 Project Grant under the Extramural Research Programs in the Neurosciences and Neurological Disorders (CFDA 93.853) to the Massachusetts Institute of Technology (MIT) from July 1, 2025 to June 30, 2027. The grant funds the development of a novel Magnetic Resonance Imaging (MRI) method to concurrently measure brain tissue displacement, blood dynamics, and cerebrospinal fluid (CSF) flow in humans. This research...
- This National Science Foundation project grant award of $222,804 provides funding to Western Michigan University from October 1, 2022 through September 30, 2024 to explore impacts of head motion on cerebrospinal fluid dynamics using simulation and real-time medical imaging. The NSF Division of Chemical, Bioengineering, Environmental, and Transport Systems awarded the funding under the Engineering (47.041) federal grant program. The awardee will develop a medical image-based approach to examine...
- This federal Project Grant award of $319,574, provided by the National Science Foundation's (NSF) Engineering program (CFDA 47.041), will support Iowa State University in developing a swelling-porous media model to understand how traveling waves in the brain drive interstitial fluid flow during physiological and acute neurological conditions. The key objectives of this research project are to: 1) model interstitial fluid dynamics in the porous brain cortex using a volume-averaging technique...
- The National Institute on Aging (NIA), through its Aging Research federal grant program (CFDA 93.866), awarded the University of Washington a $303,614 Project Grant (R03AG081836) to develop a computational model for accurately calculating cerebrospinal fluid (CSF) velocities and brain tissue deformation. The goal is to create novel, non-invasive biomarkers for early detection of Alzheimer's disease by measuring impairment of CSF flow and brain tissue stiffness, which are linked to the...
- This $407,538 Project Grant awarded by the National Science Foundation (NSF) Engineering program (CFDA 47.041) supports research and development of a novel optical neuroimaging technology called Diffuse Correlation Spectroscopy (DCS) at Duke University. The goal is to enable deep tissue measurement of blood flow within the brain, which can provide valuable insights into neurological and mental health conditions. The project aims to develop a parallelized DCS system using single-photon...
- This Project Grant award from the National Science Foundation's Computer and Information Science and Engineering (CISE) program, CFDA 47.070, provides $225,000.00 to the Regents of the University of California at Riverside to conduct research on how astrocytes, a type of brain cell, contribute to neural dynamics and information processing in the brain. The project combines computational modeling and experiments to study how astrocytes modulate neuronal activity and communication, with the goal...
- This Project Grant award of $583,679 was provided by the National Science Foundation (NSF) Engineering program (CFDA 47.041) to the University of California, Davis (UC Davis). The grant aims to develop an innovative "Correlative, Simultaneous Microscopy of Optical Signatures (COSMOS)" system capable of simultaneously imaging multiple aspects of the brain, including fluorescence, second harmonic generation, and quantitative phase signals. This advanced microscopy system will enable...
- This $423,151 CAREER grant awarded by the National Science Foundation (NSF) Engineering program (CFDA 47.041) supports the development of a new ultrasound imaging technology to enable high-resolution functional mapping of the human brain. The project aims to overcome limitations of current brain imaging methods by leveraging deep learning and ultrafast ultrasound imaging to achieve microscopic spatial resolution and deeper tissue penetration. If successful, this transformative new imaging...
- The National Science Foundation awarded a $118,212 Project Grant to the University of Delaware under the Integrative Activities (IA) program (CFDA 47.083) to conduct fundamental research on the extreme mechanics of the human brain. The research combines high-rate mechanical testing, analytical and computational modeling, and machine learning to generate insights into how the living human brain responds to large and rapid loading. This work will contribute to the fields of tissue mechanics,...
- This $100,000 Project Grant awarded by the National Science Foundation (NSF) Engineering program (CFDA 47.041) supports research to elucidate the fundamental mechanisms underlying flow-based generative AI models, such as diffusion models, and extend their capabilities to handle complex data types. The research aims to: (1) understand why trained flow models often generalize better than theoretically expected, using tools from geometry, ODE, manifold learning, and deep learning theory; and (2)...
This Project Grant award from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) will leverage artificial intelligence velocimetry to measure cerebrospinal fluid flow in the brain. The $299,999 award to the University of Rochester will address key knowledge gaps about how the brain's waste clearance system functions, especially in aging and disease states like Alzheimer's. The 3-year project (9/1/2025 - 8/31/2028) will use this novel AI-based imaging approach to infer fluid flow rates deep within the brain, providing critical insights that could lead to new interventions to rehabilitate or prevent damage caused by altered cerebrospinal fluid circulation. In addition to the scientific goals, the project will train graduate students, create public educational videos, and offer hands-on engineering experiences for high school students.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $300.0k | 8/22/25 |