We are testing a new system for linking grants to scientists.
The funding information displayed below comes from the
NIH Research Portfolio Online Reporting Tools and the
NSF Award Database.
The grant data on this page is limited to grants awarded in the United States and is thus partial. It can nonetheless be used to understand how funding patterns influence mentorship networks and vice-versa, which has deep implications on how research is done.
You can help! If you notice any innacuracies, please
sign in and mark grants as correct or incorrect matches.
Sign in to see low-probability grants and correct any errors in linkage between grants and researchers.
High-probability grants
According to our matching algorithm, Hillary Schwarb is the likely recipient of the following grants.
| Years |
Recipients |
Code |
Title / Keywords |
Matching
score |
| 2021 |
Schwarb, Hillary |
R03Activity Code Description:
To provide research support specifically limited in time and amount for studies in categorical program areas. Small grants provide flexibility for initiating studies which are generally for preliminary short-term projects and are non-renewable. |
Viscoelastic and Volumetric Contributions to Age-Related Cognitive Decline @ University of Illinois At Urbana-Champaign
PROJECT SUMMARY/ABSTRACT It is well understood that typical aging is accompanied by characteristic declines in fluid cognitive abilities as well as declines in the structural integrity of the brain. Structural integrity has typically been inferred from measures of brain volume. Volume, however, is a gross measure that cannot account for smaller-scale changes that may be contributing to diminished cognitive outcomes. Magnetic resonance elastography (MRE) is an emerging tool for acquiring noninvasive measures of the mechanical properties of biological tissue. As such, MRE provides a measure of the microstructural health of the tissue. The proposed work seeks (1) to assess the utility of MRE as a complementary tool to volumetric analysis in the study of human learning and memory and also (2) to establish MRE as a critically sensitive method for mapping degeneration in the aging brain, particularly when volumetric outcomes are equivocal. Volumetric, MRE, and cognitive data will be collected from 80 participants between the ages of 45 and 85. The cognitive assessment will measure both relational memory abilities (dependent on hippocampal function) and implicit sequence learning abilities (dependent on striatal function). Volumetric and MRE analyses will focus on the hippocampus and striatum specifically. These data will be used to examine the relationship between relational memory performance and both hippocampal volume and MRE-derived hippocampal viscoelasticity, as well as implicit sequence learning and both striatal volume and viscoelasticity, to explore the unique contribution of each to behavior. It is expected that, compared to volumetric measures alone, viscoelasticity measures will provide additional explanatory power when investigating the impact of tissue integrity on cognitive outcomes. This work will establish MRE as a useful tool for the study of cognitive neuroscience of aging and highlight the importance of choosing appropriate neuroimaging tools when assessing structural integrity. The resulting data will have important implications for tracking structural changes that impact cognitive abilities in typical aging as well as the diagnosis and tracking of treatment outcomes for patients with hippocampal (e.g., Alzheimer?s disease) and striatal (e.g., Parkinson?s disease) impairments.
|
1 |