HHS Recovery Act Recipient Reporting Readiness Tool
Step 4. Review and Copy the Grant Awards Data
TAGGS provides some – but not all – of the data needed for the Recipient Report. Recipients are responsible for directly collecting and reporting all required data to FederalReporting.gov. Data that HHS does not currently collect are highlighted in yellow. Do not copy this highlighted information. Please enter the appropriate data for your organization in these required fields. For assistance with entering these data please contact FederalReporting.gov.
You may capture the data HHS does provide by copying data from this screen and pasting it into the reporting format of your choice, such as the Excel spreadsheet template, the XML template, or by logging into the online form. For assistance with copying and pasting these data please e-mail our help desk at Readiness Help.
| Recipient Report: Grant or Loan | ||
| Prime Recipient |
| Reporting Information | ||
| Award Type | Award Number | Final Report |
| Grant | 1RC1AG036915-01 | Recipient responsible for this data |
| Award Recipient Information | ||
| Recipient DUNS Number | Recipient Account Number | Recipient Congressional District |
| 872612445 | Recipient responsible for this data | 22 |
| Award Information | ||
| Funding Agency Code | Awarding Agency Code | Award Date |
| 7529 | 7529 | 09-22-2009 |
| Amount of Award | Sub Account Number for Program Source (TAS) | |
| $ 377,787 | Recipient responsible for this data | |
| Program Source (TAS)* | CFDA Number | |
| 750845 | 93.701 | |
| Total Number of Sub Awards to Individuals | Total Amount of Sub Awards to Individuals | |
| Recipient responsible for this data | Recipient responsible for this data | |
| Total Number of Payments to Vendors less than $25,000/award | Total Amount of Payments to Vendors less than $25,000/award | |
| Recipient responsible for this data | Recipient responsible for this data | |
| Total Number of Sub Awards less than $25,000/award | Total Amount of Sub Awards less than $25,000/award | |
| Recipient responsible for this data | Recipient responsible for this data | |
| Award Description | ||
| DESCRIPTION (provided by applicant): This application addresses the broad Challenge Area: 15 Translational Science and the specific Challenge area Topic: 15-RR-101* Applied Translational Technology Development Memory declines, especially in recall, are hallmarks of healthy aging and conversion to cognitive impairment. Our goal is to use highly sensitive mathematical modeling techniques to improve the ability of clinical recall tests to predict future cognitive impairment and to diagnose current impairment. Our research will focus on one of the most widely used clinical tests of such declines, the Rey Auditory Verbal Learning Test (RAVLT). Our specific aims are to apply mathematical models to RAVLT data in order to: (a) substantially improve the ability of the RAVLT and similar clinical recall tests to predict future impairment and to diagnose current impairment; (b) separate different clinically important components of memory from one another in accordance with current theories of the memory processes that underlie performance on the RAVLT and similar tests; (c) identify the components of memory that differentiate cognitive changes that are associated with normal aging from changes that are associated with conversion to impairment; and (d) provide separate scores for different memory components of RAVLT data, which can be used to better predict behavioral and biological markers of future impairment and to identify current impairment. The research will consist of 2 phases, spanning 2 years. Both phases will rely on mathematical modeling tools and software that we have already developed. Our preliminary studies have shown that RAVLT-type tests are inherently noisy measures of impairment because 3 different memory processes are responsible for performance, but only 1 of them (gist-based reconstruction) is responsible for conversion to impairment. Therefore, in both phases of research, we will investigate how predictive and diagnostic power are improved when our modeling tools are used to remove this noise. Noise will be removed by computing separate scores for the reconstruction component of performance and for the other 2 components (direct access of verbatim traces and meta-cognitive confidence). During Phase I, this question will be investigated using a very large sample of subjects who participated in the Aging, Demographics, and Memory Study (ADAMS) portion of NIA's Healthy Retirement Study. The first phase will establish whether noise-free scores greatly improve our ability to separate groups of subjects that differ on biological markers of impairment (e.g., the ApoE genotype), behavioral markers of impairment (e.g., neuropsychological tests), and clinical diagnoses of impairment. During Phase II, this question will be investigated in a longitudinal study of 200 adults (aged 70 and above) who will be administered a neuropsychological test battery, and who will also be administered 3 versions of the RAVLT, spaced at 6-month intervals. The second phase will establish whether noise-free scores greatly improve our ability to differentiate individual people who differ in biological markers of impairment, behavioral markers of impairment, and clinical diagnoses of impairment. PUBLIC HEALTH RELEVANCE: This research will apply state-of-the-art mathematical models to clinical tests of memory to dramatically improve such tests' ability to predict future cognitive impairment in older adults and to diagnose current impairment. Findings will be used to develop low-burden tools that remove the noise for such tests and provide scores for the component memory process that are associated with conversion to impairment. | ||
| Project Information | ||||||||||||||||||||||||||
| Project Name or Project/Program Title |
Project Status | Total Federal Amount ARRA Funds Received/Invoiced |
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| LOW-BURDEN TOOLS FOR IMPROVING PREDICTION AND DIAGNOSIS OF COGNITIVE IMPAIRMENT. | Recipient responsible for this data | Recipient responsible for this data | ||||||||||||||||||||||||
| Number of Jobs | Description of Jobs Created | |||||||||||||||||||||||||
| Recipient responsible for this data | Recipient responsible for this data | |||||||||||||||||||||||||
| Quarterly Activities/Project Description | ||||||||||||||||||||||||||
| Recipient responsible for this data | ||||||||||||||||||||||||||
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| Total Federal Amount of ARRA Expenditure |
Total Federal ARRA Infrastructure Expenditure |
Infrastructure Contact Name | ||||||||||||||||||||||||
| Recipient responsible for this data | Recipient responsible for this data | Recipient responsible for this data | ||||||||||||||||||||||||
| Infrastructure Contact Email | Infrastructure Contact Phone | Infrastructure Contact Phone Ext. | ||||||||||||||||||||||||
| Recipient responsible for this data | Recipient responsible for this data | Recipient responsible for this data | ||||||||||||||||||||||||
| Infrastructure Contact Street Address 1 | Infrastructure Contact Street Address 2 | Infrastructure Contact Street Address 3 | ||||||||||||||||||||||||
| 373 PINE ROAD | Not Available | Recipient responsible for this data | ||||||||||||||||||||||||
| Infrastructure City | Infrastructure State | Infrastructure ZIP Code+4 | ||||||||||||||||||||||||
| ITHACA | NY | 14850 | ||||||||||||||||||||||||
| Infrastructure Purpose and Rationale | ||||||||||||||||||||||||||
| Recipient responsible for this data | ||||||||||||||||||||||||||
| Primary Place of Performance | ||
| Street Address 1 | Street Address 2 | City |
| OFFICE OF SPONSORED PROGRAMS | Recipient responsible for this data | ITHACA |
| State | Zip Code+4 | Congressional District |
| NY | 148502820 | 22 |
| Country | ||
| US | ||
| Recipient Highly Compensated Officers | |||
| Prime Recipient Indication of Reporting Applicability | # | Officer Name | Officer Compensation |
| Recipient responsible for this data | 1 | Recipient responsible for this data | Recipient responsible for this data |
| 2 | Recipient responsible for this data | Recipient responsible for this data | |
| 3 | Recipient responsible for this data | Recipient responsible for this data | |
| 4 | Recipient responsible for this data | Recipient responsible for this data | |
| 5 | Recipient responsible for this data | Recipient responsible for this data | |
This concludes the current search.
To begin a new search, return to the HHS Recovery Act Recipient Reporting Readiness Tool.
USE IN THE RECIPIENT REPORT
The information provided by this tool is baseline data that the Recipient should include in the Recipient Report that must be submitted to FederalReporting.gov beginning October 1, 2009. The data from this tool can be cut and pasted directly into the Recipient Report.
